210697221
Adaptive Compiler Strategies for Mitigating Timing Side Channel Attacks
Existing compiler techniques can transform code to make its timing behavior independent of sensitive values to prevent information leakage through time side channels. Those techniques are hampered, however, by their static nature and dependence on details of the processor targeted during the compilation. This paper presents a dynamic compiler approach based on offline profiles and JIT compiler strategies. This approach reduces overhead significantly and enables a trade-off between provided protection and overhead. Furthermore, it supports adaptive policies in which the protection adapts to run-time changes in the requirements. A prototype implementation in the Jikes Research VM is evaluated on RSA encryption, HMAC key verification, and IDEA encryption.
11171791
Yet another MicroArchitectural Attack:: exploiting I-Cache
MicroArchitectural Attacks (MA), which can be considered as a special form of Side-Channel Analysis, exploit microarchitectural functionalities of processor implementations and can compromise the security of computational environments even in the presence of sophisticated protection mechanisms like virtualization and sandboxing. This newly evolving research area has attracted significant interest due to the broad application range and the potentials of these attacks. Cache Analysis and Branch Prediction Analysis were the only types of MA that had been known publicly. In this paper, we introduce Instruction Cache (I-Cache) as yet another source of MA and present our experimental results which clearly prove the practicality and danger of I-Cache Attacks.
1429428
Trace-Driven Cache Attacks on AES
Cache based side-channel attacks have recently been attracted significant attention due to the new developments in the field. In this paper, we present efficient trace-driven cache attacks on a widely used implementation of the AES cryptosystem. We also evaluate the cost of the proposed attacks in detail under the assumption of a noiseless environment. We develop an accurate mathematical model that we use in the cost analysis of our attacks. We use two different metrics, specifically, the expected number of necessary traces and the cost of the analysis phase, for the cost evaluation purposes. Each of these metrics represents the cost of a different phase of the attack.
8058399
On the power of simple branch prediction analysis
Very recently, a new software side-channel attack, called Branch Prediction Analysis (BPA) attack, has been discovered and also demonstrated to be practically feasible on popular commodity PC platforms. While the above recent attack still had the flavor of a classical timing attack against RSA, where one uses many execution-time measurements under the same key in order to statistically amplify some small but key-dependent timing differences, we dramatically improve upon the former result. We prove that a carefully written spy-process running simultaneously with an RSA-process, is able to collect during one single RSA signing execution almost all of the secret key bits. We call such an attack, analyzing the CPU's Branch Predictor states through spying on a single quasi-parallel computation process, a Simple Branch Prediction Analysis (SBPA) attack --- sharply differentiating it from those one relying on statistical methods and requiring many computation measurements under the same key. The successful extraction of almost all secret key bits by our SBPA attack against an openSSL RSA implementation proves that the often recommended blinding or so called randomization techniques to protect RSA against side-channel attacks are, in the context of SBPA attacks, totally useless. Additional to that very crucial security implication, targeted at such implementations which are assumed to be at least statistically secure, our successful SBPA attack also bears another equally critical security implication. Namely, in the context of simple side-channel attacks, it is widely believed that equally balancing the operations after branches is a secure countermeasure against such simple attacks. Unfortunately, this is not true, as even such "balanced branch" implementations can be completely broken by our SBPA attacks. Moreover, despite sophisticated hardware-assisted partitioning methods such as memory protection, sandboxing or even virtualization, SBPA attacks empower an unprivileged process to successfully attack other processes running in parallel on the same processor. Thus, we conclude that SBPA attacks are much more dangerous than previously anticipated, as they obviously do not belong to the same category as pure timing attacks.
1279576
Predicting Secret Keys Via Branch Prediction
This paper announces a new software side-channel attack — enabled by the branch prediction capability common to all modern high-performance CPUs. The penalty paid (extra clock cycles) for a mispredicted branch can be used for cryptanalysis of cryptographic primitives that employ a data-dependent program flow. Analogous to the recently described cache-based side-channel attacks our attacks also allow an unprivileged process to attack other processes running in parallel on the same processor, despite sophisticated partitioning methods such as memory protection, sandboxing or even virtualization. In this paper, we will discuss several such attacks for the example of RSA, and experimentally show their applicability to real systems, such as OpenSSL and Linux. Moreover, we will also demonstrate the strength of the branch prediction side-channel attack by rendering the obvious countermeasure in this context (Montgomery Multiplication with dummy-reduction) as useless. Although the deeper consequences of the latter result make the task of writing an efficient and secure modular exponentiation (or scalar multiplication on an elliptic curve) a challenging task, we will eventually suggest some countermeasures to mitigate branch prediction side-channel attacks.
28944089
Differential Power Analysis
Cryptosystem designers frequently assume that secrets will be manipulated in closed, reliable computing environments. Unfortunately, actual computers and microchips leak information about the operations they process. This paper examines specific methods for analyzing power consumption measurements to find secret keys from tamper resistant devices. We also discuss approaches for building cryptosystems that can operate securely in existing hardware that leaks information.
11665450
Collision attacks on processors with cache and countermeasures
Implementing cryptographic algorithms is a difficult problem since additional secret information can be recovered from some physical characteristics of a cryptographic device. Among all side-channel attacks, collision attacks and cache attacks are the most recent ones. The first technique uses side-channel information to detect internal collisions related to the algorithm. The second one exploits timing or power consumptions related to the memory accesses. This paper presents a new attack on the first round of AES based on power analysis, which combines both collision attacks and cache attacks. It provides many linear relations between the secret key bits from the encryption of a few chosen plaintexts. For instance, for a classical implementation using 4 lookup tables on a processor with 64-byte cache blocks, 48 linear relations involving half of the key bits are derived. Some countermeasures which defeat such attacks are also presented. C. Wolf, S. Lucks, P.-W. Yau (Eds.): WEWoRC 2005, LNI P-74, pp. 76–85, 2005. c Gesellschaft fur Informatik e.V.
17988199
New Results on Instruction Cache Attacks
We improve instruction cache data analysis techniques with a framework based on vector quantization and hidden Markov models. As a result, we are capable of carrying out efficient automated attacks using live I-cache timing data. Using this analysis technique, we run an I-cache attack on OpenSSL's DSA implementation and recover keys using lattice methods. Previous I-cache attacks were proof-of-concept: we present results of an actual attack in a real-world setting, proving these attacks to be realistic. We also present general software countermeasures, along with their performance impact, that are not algorithm specific and can be employed at the kernel and/or compiler level.
18861780
Cache-Timing Template Attacks
Cache-timing attacks are a serious threat to security-critical software. We show that the combination of vector quantization and hidden Markov model cryptanalysis is a powerful tool for automated analysis of cache-timing data; it can be used to recover critical algorithm state such as key material. We demonstrate its effectiveness by running an attack on the elliptic curve portion of OpenSSL (0.9.8k and under). This involves automated lattice attacks leading to key recovery within hours. We carry out the attack on live cache-timing data without simulating the side channel, showing these attacks are practical and realistic.
1060331
Cache Games -- Bringing Access-Based Cache Attacks on AES to Practice
Side channel attacks on cryptographic systems exploit information gained from physical implementations rather than theoretical weaknesses of a scheme. In recent years, major achievements were made for the class of so called access-driven cache attacks. Such attacks exploit the leakage of the memory locations accessed by a victim process. In this paper we consider the AES block cipher and present an attack which is capable of recovering the full secret key in almost real time for AES-128, requiring only a very limited number of observed encryptions. Unlike previous attacks, we do not require any information about the plaintext (such as its distribution, etc.). Moreover, for the first time, we also show how the plaintext can be recovered without having access to the cipher text at all. It is the first working attack on AES implementations using compressed tables. There, no efficient techniques to identify the beginning of AES rounds is known, which is the fundamental assumption underlying previous attacks. We have a fully working implementation of our attack which is able to recover AES keys after observing as little as 100 encryptions. It works against the OpenS SL 0.9.8n implementation of AES on Linux systems. Our spy process does not require any special privileges beyond those of a standard Linux user. A contribution of probably independent interest is a denial of service attack on the task scheduler of current Linux systems (CFS), which allows one to observe (on average) every single memory access of a victim process.
33554560
Advances on Access-Driven Cache Attacks on AES
An access-driven attack is a class of cache-based side channel analysis. Like the time-driven attack, the cache's timings are under inspection as a source of information leakage. Access-driven attacks scrutinize the cache behavior with a finer granularity, rather than evaluating the overall execution time. Access-driven attacks leverage the ability to detect whether a cache line has been evicted, or not, as the primary mechanism for mounting an attack. In this paper we focus on the case of AES and we show that the vast majority of processors suffer from this cache-based vulnerability. Our best results are indeed performed on a processor without the multi-threading capabilities -- in contrast to previous works in this area that had suggested that multi-threading actually improved, or even made possible, this class of attack. 
 
Despite some technical difficulties required to mount such attacks, our work shows that access-driven cache-based attacks are becoming easier to understand and analyze. Also, when such attacks are mounted against systems performing AES, only a very limited number of encryptions are required to recover the whole key with a high probability of success, due to our last round analysis from the ciphertext.
8034563
Cache Attacks and Countermeasures: The Case of AES
We describe several software side-channel attacks based on inter-process leakage through the state of the CPU’s memory cache. This leakage reveals memory access patterns, which can be used for cryptanalysis of cryptographic primitives that employ data-dependent table lookups. The attacks allow an unprivileged process to attack other processes running in parallel on the same processor, despite partitioning methods such as memory protection, sandboxing and virtualization. Some of our methods require only the ability to trigger services that perform encryption or MAC using the unknown key, such as encrypted disk partitions or secure network links. Moreover, we demonstrate an extremely strong type of attack, which requires knowledge of neither the specific plaintexts nor ciphertexts, and works by merely monitoring the effect of the cryptographic process on the cache. We discuss in detail several such attacks on AES, and experimentally demonstrate their applicability to real systems, such as OpenSSL and Linux’s dm-crypt encrypted partitions (in the latter case, the full key can be recovered after just 800 writes to the partition, taking 65 milliseconds). Finally, we describe several countermeasures for mitigating such attacks.
1276493
Hey, you, get off of my cloud: exploring information leakage in third-party compute clouds
Third-party cloud computing represents the promise of outsourcing as applied to computation. Services, such as Microsoft's Azure and Amazon's EC2, allow users to instantiate virtual machines (VMs) on demand and thus purchase precisely the capacity they require when they require it. In turn, the use of virtualization allows third-party cloud providers to maximize the utilization of their sunk capital costs by multiplexing many customer VMs across a shared physical infrastructure. However, in this paper, we show that this approach can also introduce new vulnerabilities. Using the Amazon EC2 service as a case study, we show that it is possible to map the internal cloud infrastructure, identify where a particular target VM is likely to reside, and then instantiate new VMs until one is placed co-resident with the target. We explore how such placement can then be used to mount cross-VM side-channel attacks to extract information from a target VM on the same machine.
1897883
Exploiting Hardware Performance Counters
We introduce the usage of hardware performance counters (HPCs) as a new method that allows very precise access to known side channels and also allows access to many new side channels. Many current architectures provide hardware performance counters, which allow the profiling of software during runtime. Though they allow detailed profiling they are noisy by their very nature; HPC hardware is not validated along with the rest of the microprocessor. They are meant to serve as a relative measure and are most commonly used for profiling software projects or operating systems. Furthermore they are only accessible in restricted mode and can only be accessed by the operating system. We discuss this security model and we show first implementation results, which confirm that HPCs can be used to profile relatively short sequences of instructions with high precision. We focus on cache profiling and confirm our results by rerunning a recently published time based cache attack in which we replaced the time profiling function by HPCs.
15297038
Covert and Side Channels Due to Processor Architecture
Information leakage through covert channels and side channels is becoming a serious problem, especially when these are enhanced by modern processor architecture features. We show how processor architecture features such as simultaneous multithreading, control speculation and shared caches can inadvertently accelerate such covert channels or enable new covert channels and side channels. We first illustrate the reality and severity of this problem by describing concrete attacks. We identify two new covert channels. We show orders of magnitude increases in covert channel capacities. We then present two solutions, Selective Partitioning and the novel random permutation cache (RPCache). The RPCache can thwart most cache-based software side channel attacks, with minimal hardware costs and negligible performance impact
15490163
Cache Based Remote Timing Attack on the AES
We introduce a new robust cache-based timing attack on AES. We present experiments and concrete evidence that our attack can be used to obtain secret keys of remote cryptosystems if the server under attack runs on a multitasking or simultaneous multithreading system with a large enough workload. This is an important difference to recent cache-based timing attacks as these attacks either did not provide any supporting experimental results indicating if they can be applied remotely, or they are not realistically remote attacks.
2217245
Cache-timing attacks on AES
This paper demonstrates complete AES key recovery from known-plaintext timings of a network server on another computer. This attack should be blamed on the AES design, not on the particular AES library used by the server; it is extremely difficult to write constant-time high-speed AES software for common general-purpose computers. This paper discusses several of the obstacles in detail.
2383416
Cache-Collision Timing Attacks Against AES
This paper describes several novel timing attacks against the common table-driven software implementation of the AES cipher. We define a general attack strategy using a simplified model of the cache to predict timing variation due to cache-collisions in the sequence of lookups performed by the encryption. The attacks presented should be applicable to most high-speed software AES implementations and computing platforms, we have implemented them against OpenSSL v. 0.9.8.(a) running on Pentium III, Pentium IV Xeon, and UltraSPARC III+ machines. The most powerful attack has been shown under optimal conditions to reliably recover a full 128-bit AES key with 213 timing samples, an improvement of almost four orders of magnitude over the best previously published attacks of this type [Ber05]. While the task of defending AES against all timing attacks is challenging, a small patch can significantly reduce the vulnerability to these specific attacks with no performance penalty.
9384357
Remote timing attacks are practical
Timing attacks are usually used to attack weak computing devices such as smartcards. We show that timing attacks apply to general software systems. Specifically, we devise a timing attack against OpenSSL. Our experiments show that we can extract private keys from an OpenSSL-based web server running on a machine in the local network. Our results demonstrate that timing attacks against network servers are practical and therefore security systems should defend against them.
6091977
Remote Timing Attacks Are Still Practical
For over two decades, timing attacks have been an active area of research within applied cryptography. These attacks exploit cryptosystem or protocol implementations that do not run in constant time. When implementing an elliptic curve cryptosystem with a goal to provide side-channel resistance, the scalar multiplication routine is a critical component. In such instances, one attractive method often suggested in the literature is Montgomery's ladder that performs a fixed sequence of curve and field operations. This paper describes a timing attack vulnerability in OpenSSL's ladder implementation for curves over binary fields. We use this vulnerability to steal the private key of a TLS server where the server authenticates with ECDSA signatures. Using the timing of the exchanged messages, the messages themselves, and the signatures, we mount a lattice attack that recovers the private key. Finally, we describe and implement an effective countermeasure.
9279233
Ucl Crypto Group Technical Report Series a Practical Implementation of the Timing Attack a Practical Implementation of the Timing Attack a Practical Implementation of the Timing Attack 2
When the running time of a cryptographic algorithm is nonconstant, timing measurements can leak informations about the secret key. This idea, rst publicly introduced by Kocher, is developed here to attack an earlier version of the CASCADE smart cardy. We propose several improvements on Kocher's ideas, leading to a practical implementation that is able to break a 512-bit key in a few minutes, provided we are able to collect 300 000 timing measurements (128-bit keys can be recovered in a few seconds using a personal computer and less than 10 000 samples). We therefore show that the timing attack represents an important threat against cryptosystems, which must be very seriously taken into account.
15475583
Timing Attacks on Implementations of Diffie-Hellman, RSA, DSS, and Other Systems
By carefully measuring the amount of time required tm perform private key operalions, attackers may be able to find fixed Diffie-Hellman exponents, factor RSA keys, and break other cryptosystems. Against, a valnerable system, the attack is computationally inexpensive and often requires only known ciphertext. Actual systems are potentially at risk, including cryptographic tokens, network-based cryptosystems, and other applications where attackers can make reasonably accurate timing measurements. Techniques for preventing the attack for RSA and Diffie-Hellman are presented. Some cryptosystems will need to be revised to protect against the attack, and new protocols and algorithms may need to incorporate measures to prevenl timing attacks.
15623531
Mutual Information Analysis
We propose a generic information-theoretic distinguisher for differential side-channel analysis. Our model of side-channel leakage is a refinement of the one given by Standaert et al.An embedded device containing a secret key is modeled as a black box with a leakage function whose output is captured by an adversary through the noisy measurement of a physical observable. Although quite general, the model and the distinguisher are practical and allow us to develop a new differential side-channel attack. More precisely, we build a distinguisher that uses the value of the Mutual Information between the observed measurements and a hypothetical leakage to rank key guesses. The attack is effective without any knowledge about the particular dependencies between measurements and leakage as well as between leakage and processed data, which makes it a universal tool. Our approach is confirmed by results of power analysis experiments. We demonstrate that the model and the attack work effectively in an attack scenario against DPA-resistant logic.
2882026
New cache designs for thwarting software cache-based side channel attacks
Software cache-based side channel attacks are a serious new class of threats for computers. Unlike physical side channel attacks that mostly target embedded cryptographic devices, cache-based side channel attacks can also undermine general purpose systems. The attacks are easy to perform, effective on most platforms, and do not require special instruments or excessive computation power. In recently demonstrated attacks on software implementations of ciphers like AES and RSA, the full key can be recovered by an unprivileged user program performing simple timing measurements based on cache misses.
 We first analyze these attacks, identifying cache interference as the root cause of these attacks. We identify two basic mitigation approaches: the partition-based approach eliminates cache interference whereas the randomization-based approach randomizes cache interference so that zero information can be inferred. We present new security-aware cache designs, the Partition-Locked cache (PLcache) and Random Permutation cache (RPcache), analyze and prove their security, and evaluate their performance. Our results show that our new cache designs with built-in security can defend against cache-based side channel attacks in general-rather than only specific attacks on a given cryptographic algorithm-with very little performance degradation and hardware cost.
976416
Software mitigations to hedge AES against cache-based software side channel vulnerabilities
Hardware side channel vulnerabilities have been studied for many years in embedded silicon-security arena including SmartCards, SetTop-boxes, etc. However, because various recent security activities have goals of improving the software isolation properties of PC platforms, software side channels have become a subject of interest. Recent publications discussed cache-based software side channel vulnerabilities of AES and RSA. Thus, following the classical approach — a new side channel vulnerability opens a new mitigation research path — this paper starts to investigate efficient mitigations to protect AES-software against side channel vulnerabilities. First, we will present several mitigation strategies to harden existing AES software against cache-based software side channel attacks and analyze their theoretical protection. Then, we will present a performance and security evaluation of our mitigation strategies. For ease of evaluation we measured the performance of our code against the performance of the openSSL AES implementation. In addition, we also analyzed our code under various existing attacks. Depending on the level of the required side channel protection, the measured performance loss of our mitigations strategies versus openSSL (respectively best assembler) varies between factors of 1.35 (2.66) and 2.85 (5.83).
2012026
Practical Mitigations for Timing-Based Side-Channel Attacks on Modern x86 Processors
This paper studies and evaluates the extent to which automated compiler techniques can defend against timing-based side-channel attacks on modern x86 processors. We study how modern x86 processors can leak timing information through side-channels that relate to control flow and data flow. To eliminate key-dependent control flow and key-dependent timing behavior related to control flow, we propose the use of if-conversion in a compiler backend, and evaluate a proof-of-concept prototype implementation. Furthermore, we demonstrate two ways in which programs that lack key-dependent control flow and key- dependent cache behavior can still leak timing information on modern x86 implementations such as the Intel Core 2 Duo, and propose defense mechanisms against them.
8633065
Timing Aware Information Flow Security for a JavaCard-like Bytecode
Common protection mechanisms fail to provide end-to-end security; programs with legitimate access to secret information are not prevented from leaking this to the world. Information-flow aware analyses track the flow of information through the program to prevent such leakages, but often ignore information flows through covert channels even though they pose a serious threat. A typical covert channel is to use the timing of certain events to carry information. We present a timing-aware information-flow type system for a low-level language similar to a non-trivial subset of a sequential Java bytecode. The type system is parameterized over the time model of the instructions of the language and over the algorithm enforcing low-observational equivalence, used in the prevention of implicit and timing flows.
16422919
A Provably Secure and Efficient Countermeasure against Timing Attacks
We show that the amount of information about the key that an unknown-message attacker can extract from a deterministic side-channel is bounded from above by |O| log (n+1) bits, where n is the number of side-channel measurements and O is the set of possible observations. We use this bound to derive a novel countermeasure against timing attacks, where the strength of the security guarantee can be freely traded for the resulting performance penalty. We give algorithms that efficiently and optimally adjust this trade-off for given constraints on the side-channel leakage or on the efficiency of the cryptosystem. Finally, we perform a case-study that shows that applying our countermeasure leads to implementations with minor performance overhead and formal security guarantees.
5976894
The Program Counter Security Model: Automatic Detection and Removal of Control-Flow Side Channel Attacks
We introduce new methods for detecting control-flow side channel attacks, transforming C source code to eliminate such attacks, and checking that the transformed code is free of control-flow side channels. We model control-flow side channels with a program counter transcript, in which the value of the program counter at each step is leaked to an adversary. The program counter transcript model captures a class of side channel attacks that includes timing attacks and error disclosure attacks. 
 
Further, we propose a generic source-to-source transformation that produces programs provably secure against control-flow side channel attacks. We implemented this transform for C together with a static checker that conservatively checks x86 assembly for violations of program counter security; our checker allows us to compile with optimizations while retaining assurance the resulting code is secure. We then measured our technique's effect on the performance of binary modular exponentiation and real-world implementations in C of RC5 and IDEA: we found it has a performance overhead of at most 5× and a stack space overhead of at most 2×. Our approach to side channel security is practical, generally applicable, and provably secure against an interesting class of side channel attacks.
1644086
Düppel: retrofitting commodity operating systems to mitigate cache side channels in the cloud
This paper presents the design, implementation and evaluation of a system called Düppel that enables a tenant virtual machine to defend itself from cache-based side-channel attacks in public clouds. Düppel includes defenses for time-shared caches such as per-core L1 and L2 caches. Experiments in the lab and on public clouds show that Düppel effectively obfuscates timing signals available to an attacker VM via these caches and incurs modest performance overheads (at most 7% and usually much less) in the common case of no side-channel attacks. Moreover, Düppel requires no changes to hypervisors or support from cloud operators.
1272330
Predictive mitigation of timing channels in interactive systems
Timing channels remain a difficult and important problem for information security. Recent work introduced predictive mitigation, a new way to mitigating leakage through timing channels; this mechanism works by predicting timing from past behavior, and then enforcing the predictions. This paper generalizes predictive mitigation to a larger and important class of systems: systems that receive input requests from multiple clients and deliver responses. The new insight is that timing predictions may be a function of any public information, rather than being a function simply of output events. Based on this insight, a more general mechanism and theory of predictive mitigation becomes possible. The result is that bounds on timing leakage can be tightened, achieving asymptotically logarithmic leakage under reasonable assumptions. By applying it to web applications, the generalized predictive mitigation mechanism is shown to be effective in practice.
14310180
Transforming out timing leaks
One aspect of security in mobile code is privacy: private (or secret) data should not be leaked to unauthorised agents. Most of the work on secure information flow has until recently only been concerned with detecting direct and indirect flows. Secret information can however be leaked to the attacker also through covert channels. It is very reasonable to assume that the attacker, even as an external observer, can monitor the timing (including termination) behaviour of the program. Thus to claim a program secure, the security analysis must take also these into account.
In this work we present a surprisingly simple solution to the problem of detecting timing leakages to external observers. Our system consists of a type system in which well-typed programs do not leak secret information directly, indirectly or through timing, and a transformation for removing timing leakages. For any program that is well typed according to Volpano and Smith [VS97a], our transformation generates a program that is also free of timing leaks.
12191009
Towards Side-Channel Resistant Block Cipher Usage or Can We Encrypt Without Side-Channel Countermeasures?
Based on re-keying techniques by Abdalla, Bellare, and Borst [1, 2], we consider two black-box secure block cipher based symmetric encryption schemes, which we prove secure in the physically observable cryptography model. They are proven side-channel secure against a strong type of adversary that can adaptively choose the leakage function as long as the leaked information is bounded. It turns out that our simple construction is side-channel secure against all types of attacks that satisfy some reasonable assumptions. In particular, the security turns out to be negligible in the block cipher’s block size n, for all attacks. We also show that our ideas result in an interesting alternative to the implementation of block ciphers using different logic styles or masking countermeasures.
15533469
The Montgomery Powering Ladder
This paper gives a comprehensive analysis of Montgomery powering ladder. Initially developed for fast scalar multiplication on elliptic curves, we extend the scope of Montgomery ladder to any exponentiation in an abelian group. Computationally, the Montgomery ladder has the triple advantage of presenting a Lucas chain structure, of being parallelized, and of sharing a common operand. Furthermore, contrary to the classical binary algorithms, it behaves very regularly, which makes it naturally protected against a large variety of implementation attacks.
1903469
On Subnormal Floating Point and Abnormal Timing
We identify a timing channel in the floating point instructions of modern x86 processors: the running time of floating point addition and multiplication instructions can vary by two orders of magnitude depending on their operands. We develop a benchmark measuring the timing variability of floating point operations and report on its results. We use floating point data timing variability to demonstrate practical attacks on the security of the Fire fox browser (versions 23 through 27) and the Fuzz differentially private database. Finally, we initiate the study of mitigations to floating point data timing channels with libfixedtimefixedpoint, a new fixed-point, constant-time math library. Modern floating point standards and implementations are sophisticated, complex, and subtle, a fact that has not been sufficiently recognized by the security community. More work is needed to assess the implications of the use of floating point instructions in security-relevant software.
807791
A first step towards automatic application of power analysis countermeasures
In cryptography, side channel attacks, such as power analysis, attempt to uncover secret information from the physical implementation of cryptosystems rather than exploiting weaknesses in the cryptographic algorithms themselves. The design and implementation of physically secure cryptosystems is a challenge for both hardware and software designers. Measuring and evaluating the security of a system is manual and empirical, which is costly and time consuming; this work demonstrates that it is possible to automate these processes. We introduce a systematic methodology for automatic application of software countermeasures and demonstrate its effectiveness on an AES software implementation running on an 8-bit AVR microcontroller. The framework identifies the most vulnerable instructions of the implementation to power analysis attacks, and then transforms the software using a chosen countermeasure to protect the vulnerable instructions. Lastly, it evaluates the security of the system using an information-theoretic metric and a direct attack.
2001374
Compiler mitigations for time attacks on modern x86 processors
This paper studies and evaluates the extent to which automated compiler techniques can defend against timing-based side channel attacks on modern x86 processors. We study how modern x86 processors can leak timing information through side channels that relate to data flow. We study the efficiency, effectiveness, portability, predictability and sensitivity of several mitigating code transformations that eliminate or minimize key-dependent execution time variations. Furthermore, we discuss the extent to which compiler backends are a suitable tool to provide automated support for the proposed mitigations.
16282151
Utilization-aware load balancing for the energy efficient operation of the big.LITTLE processor
ARM's big.LITTLE architecture introduces the opportunity to optimize power consumption by selecting the core type most suitable for a level of processing demand. To take advantage of this new axis of optimization, we introduce processor utilization into the Linux kernel's load balancing algorithm. Our method improves the Linux kernel's ability to schedule tasks in an energy efficient manner without making it directly aware of the available core types. Experimental results show an energy consumption improvement over the standard Linux scheduler up to 11.35% with almost no reduction in performance.
4088732
Opportunities and Limits of Remote Timing Attacks
Many algorithms can take a variable amount of time to complete depending on the data being processed. These timing differences can sometimes disclose confidential information. Indeed, researchers have been able to reconstruct an RSA private key purely by querying an SSL Web server and timing the results. Our work analyzes the limits of attacks based on accurately measuring network response times and jitter over a local network and across the Internet. We present the design of filters to significantly reduce the effects of jitter, allowing an attacker to measure events with 15-100μs accuracy across the Internet, and as good as 100ns over a local network. Notably, security-related algorithms on Web servers and other network servers need to be carefully engineered to avoid timing channel leaks at the accuracy demonstrated in this article.
946530
Side-Channel Analysis of Cryptographic Software via Early-Terminating Multiplications
The design of embedded processors demands a careful trade-off between many conflicting objectives such as performance, silicon area and power consumption. Finding such a trade-off often ignores the issue of security, which can cause, otherwise secure, cryptographic software to leak information through so-called micro-architectural side channels. In this paper we show that early-terminating integer multipliers found in various embedded processors (e.g., ARM7TDMI) represent an instance of this problem. The early-termination mechanism causes differences in the time taken to execute a multiply instruction depending on the magnitude of the operands (e.g., up to three clock cycles on an ARM7TDMI processor), which are observable via variations in execution time and power consumption. Exploiting the early-termination mechanism makes Simple Power Analysis (SPA) attacks relatively straightforward to conduct, and may even allow one to attack implementations with integrated countermeasures that would not leak any information when executed on a processor with a constant-latency multiplier. We describe several case studies, including both secret-key (RC6, AES) and public-key algorithms (RSA, ECIES) to demonstrate the threat posed by embedded processors with early-terminating multipliers.
39279813
Conversion of control dependence to data dependence
Program analysis methods, especially those which support automatic vectorization, are based on the concept of interstatement dependence where a dependence holds between two statements when one of the statements computes values needed by the other. Powerful program transformation systems that convert sequential programs to a form more suitable for vector or parallel machines have been developed using this concept [AllK 82, KKLW 80].The dependence analysis in these systems is based on data dependence. In the presence of complex control flow, data dependence is not sufficient to transform programs because of the introduction of control dependences. A control dependence exists between two statements when the execution of one statement can prevent the execution of the other. Control dependences do not fit conveniently into dependence-based program translators.One solution is to convert all control dependences to data dependences by eliminating goto statements and introducing logical variables to control the execution of statements in the program. In this scheme, action statements are converted to IF statements. The variables in the conditional expression of an IF statement can be viewed as inputs to the statement being controlled. The result is that control dependences between statements become explicit data dependences expressed through the definitions and uses of the controlling logical variables.This paper presents a method for systematically converting control dependences to data dependences in this fashion. The algorithms presented here have been implemented in PFC, an experimental vectorizer written at Rice University.
53766395
Modern Processor Design: Fundamentals of Superscalar Processors
Modern Processor Design: Fundamentals of Superscalar Processors is an exciting new first edition from John Shen of Carnegie Mellon University & Intel and Mikko Lipasti of the University of Wisconsin-Madison. This book brings together the numerous microarchitectural techniques for harvesting more instruction-level parallelism (ILP) to achieve better processor performance that have been proposed and implemented in real machines. These techniques, as well as the foundational principles behind them, are organized and presented within a clear framework that allows for ease of comprehension. This text is intended for an advanced computer architecture course or a course in superscalar processor design. It is written at a level appropriate for senior or first year graduate level students.
207605595
The Jalapeño virtual machine
Jalapeno is a virtual machine for JavaTM servers written in the Java language. To be able to address the requirements of servers (performance and scalability in particular), Jalapeno was designed "from scratch" to be as self-sufficient as possible. Jalapeno's unique object model and memory layout allows a hardware null-pointer check as well as fast access to array elements, fields, and methods. Run-time services conventionally provided in native code are implemented primarily in Java. Java threads are multiplexed by virtual processors (implemented as operating system threads). A family of concurrent object allocators and parallel type-accurate garbage collectors is supported. Jalapeno's interoperable compilers enable quasi-preemptive thread switching and precise location of object references. Jalapeno's dynamic optimizing compiler is designed to obtain high quality code for methods that are observed to be frequently executed or computationally intensive.
2392313
Formally Bounding the Side-Channel Leakage in Unknown-Message Attacks
We propose a novel approach for quantifying a system's resistance to unknown-message side-channel attacks. The approach is based on a measure of the secret information that an attacker can extract from a system from a given number of side-channel measurements. We provide an algorithm to compute this measure, and we use it to analyze the resistance of hardware implementations of cryptographic algorithms with respect to timing attacks. In particular, we show that message-blinding --- the common countermeasure against timing attacks --- reduces the rate at which information about the secret is leaked, but that the complete information is still eventually revealed. Finally, we compare information measures corresponding to unknown-message, known-message, and chosen-message attackers and show that they form a strict hierarchy.
122607594
EDF Statistics for Goodness of Fit and Some Comparisons
Abstract This article offers a practical guide to goodness-of-fit tests using statistics based on the empirical distribution function (EDF). Five of the leading statistics are examined—those often labelled D, W 2, V, U 2, A 2—and three important situations: where the hypothesized distribution F(x) is completely specified and where F(x) represents the normal or exponential distribution with one or more parameters to be estimated from the data. EDF statistics are easily calculated, and the tests require only one line of significance points for each situation. They are also shown to be competitive in terms of power.
17199285
Computer systems are dynamical systems.
In this paper, we propose a nonlinear dynamics-based framework for modeling and analyzing computer systems. Working with this framework, we use a custom measurement infrastructure and delay-coordinate embedding to study the dynamics of these complex nonlinear systems. We find strong indications, from multiple corroborating methods, of low-dimensional dynamics in the performance of a simple program running on a popular Intel computer-including the first experimental evidence of chaotic dynamics in real computer hardware. We also find that the dynamics change completely when we run the same program on a different type of Intel computer, or when that program is changed slightly. This not only validates our framework; it also raises important issues about computer analysis and design. These engineered systems have grown so complex as to defy the analysis tools that are typically used by their designers: tools that assume linearity and stochasticity and essentially ignore dynamics. The ideas and methods developed by the nonlinear dynamics community, applied and interpreted in the context of the framework proposed here, are a much better way to study, understand, and design modern computer systems.
1184319
Producing wrong data without doing anything obviously wrong!
This paper presents a surprising result: changing a seemingly innocuous aspect of an experimental setup can cause a systems researcher to draw wrong conclusions from an experiment. What appears to be an innocuous aspect in the experimental setup may in fact introduce a significant bias in an evaluation. This phenomenon is called measurement bias in the natural and social sciences.
 Our results demonstrate that measurement bias is significant and commonplace in computer system evaluation. By significant we mean that measurement bias can lead to a performance analysis that either over-states an effect or even yields an incorrect conclusion. By commonplace we mean that measurement bias occurs in all architectures that we tried (Pentium 4, Core 2, and m5 O3CPU), both compilers that we tried (gcc and Intel's C compiler), and most of the SPEC CPU2006 C programs. Thus, we cannot ignore measurement bias. Nevertheless, in a literature survey of 133 recent papers from ASPLOS, PACT, PLDI, and CGO, we determined that none of the papers with experimental results adequately consider measurement bias.
 Inspired by similar problems and their solutions in other sciences, we describe and demonstrate two methods, one for detecting (causal analysis) and one for avoiding (setup randomization) measurement bias.
770578
A tool for static detection of timing channels in Java
A timing attack exploits the variance in the running time of a crypto-algorithm’s implementation in order to infer confidential information. Such a dependence between confidential information and the running time, called a timing channel, is often caused by branching of the control flow in the implementation’s source code with branching conditions depending on the attacked secrets. We present the Side Channel Finder, a static analysis tool for detection of such timing channels in Java implementations of cryptographic algorithms.
556070
Robust and Efficient Elimination of Cache and Timing Side Channels
Timing and cache side channels provide powerful attacks against many sensitive operations including cryptographic implementations. Existing defenses cannot protect against all classes of such attacks without incurring prohibitive performance overhead. A popular strategy for defending against all classes of these attacks is to modify the implementation so that the timing and cache access patterns of every hardware instruction is independent of the secret inputs. However, this solution is architecture-specific, brittle, and difficult to get right. In this paper, we propose and evaluate a robust low-overhead technique for mitigating timing and cache channels. Our solution requires only minimal source code changes and works across multiple languages/platforms. We report the experimental results of applying our solution to protect several C, C++, and Java programs. Our results demonstrate that our solution successfully eliminates the timing and cache side-channel leaks while incurring significantly lower performance overhead than existing approaches.
14661450
Thwarting Cache Side-Channel Attacks Through Dynamic Software Diversity
We explore software diversity as a defense against side-channel attacks by dynamically and systematically random- izing the control flow of programs. Existing software diversity techniques transform each program trace identically. Our di- versity based technique instead transforms programs to make each program trace unique. This approach offers probabilistic protection against both online and off-line side-channel attacks. In particular, we create a large number of unique program execution paths by automatically generating diversified replicas for parts of an input program. Replicas derived from the same original program fragment have different implementations, but perform semantically equivalent computations. At runtime we then randomly and frequently switch between these replicas. We evaluate how well our approach thwarts cache-based side- channel attacks, in which an attacker strives to recover cryp- tographic keys by analyzing side-effects of program execution. Our method requires no manual effort or hardware changes, has a reasonable performance impact, and reduces side-channel information leakage significantly.
18553859
Diversified Remote Code Execution Using Dynamic Obfuscation of Conditional Branches
Information leakage via timing side-channel attacksis one of the main threats that target code executing on remoteplatforms such as the cloud computing environment. Theseattacks can be further leveraged to reverse-engineer or eventamper with the running code. In this paper, we propose asecurity obfuscation technique, which helps making the generatedcode more resistant to these attacks, by means of increasinglogical complexity to hinder the formulation of a solid hypothesisabout code behavior. More importantly, this software solutionis portable, generic and does not require special setup orhardware or software modifications. In particular, we considermangling the control-flow inside a program via converting arandom set of conditional branches into linear code, using ifconversiontransformation. Moreover, our method exploits thedynamic compilation technology to continually and randomlyalter the branches. All of this mangling should diversify codeexecution, hence it becomes difficult for an attacker to infertiming correlations through statistical analysis. We extend theLLVM JIT compiler to provide for an initial investigation of thisapproach. This makes our system applicable to a wide varietyof programming languages and hardware platforms. We havestudied the system using a simple test program and selectedbenchmarks from the standard SPEC CPU 2006 suite withdifferent input loads and experimental setups. Initial results showsignificant changes in program's control-flow and hence datadependences, resulting in noticeable different execution timeseven for the same input data, thereby complicating such attacks.More notably, the performance penalty is within reasonablemargins.