41720714
LSAD: Lightweight SYN Flooding Attack Detector
Currently, there are lots of approaches to detect SYN flooding, but they require too many resources to manage most of ongoing traffic We propose a simple and robust approach to detect SYN flooding attacks by observing essential network information Instead of managing all ongoing traffic on the network, our approach only monitors SYN count and ratio between SYN and other TCP packets To make the detection mechanism robustly and easily, we use EWMA (exponentially weight moving average) approach in SPC (statistical process control) [3] [10] [11] It makes the detection mechanism much more generally applicable and easier to implement The trace-driven simulation results demonstrate that our proposal is efficient and simple to implement and prove that it detects SYN flooding accurately and finds attack in a very short detection time.
13187779
D-SAT: detecting SYN flooding attack by two-stage statistical approach
We propose D-SAT (detecting SYN flooding attack by two-stage statistical approach) system that is simple and robust approach to detect SYN flooding attacks by observing network traffic. Instead of managing all ongoing traffic on the network, D-SAT only monitors SYN count and ratio between SYN and other TCP packets at first time. And it detects SYN flooding and finds victims more accurately in its second stage. To make the detection mechanism robustly and easily, D-SAT uses CUSUM (cumulative sum) approach in SPC (statistical process control) (H. Wang et al., 2002) (D.C. Montgomery, 2001) (D.M. Hawkins et al., 1998). It makes the detection mechanism much more generally applicable and easier to implement. D-SAT also employed AFM (aggregation flow management) for finding victims quickly and accurately. The trace-driven simulation results demonstrate that D-SAT system is efficient and simple to implement and prove that it detects SYN flooding accurately and finds attack in a very short detection time.
34432262
Web Services
15631215
Global software piracy revisited
Determining why the roots of the disparity in national piracy levels lie beyond economics.
207155548
Reducing MAC layer handoff latency in IEEE 802.11 wireless LANs
With the growth of IEEE 802.11-based wireless LANs, VoIP and similar applications are now commonly used over wireless networks. Mobile station performs a handoff whenever it moves out of the range of one access point (AP) and tries to connect to a different one. This takes a few hundred milliseconds, causing interruptions in VoIP sessions. We developed a new handoff procedure which reduces the MAC layer handoff latency, in most cases, to a level where VoIP communication becomes seamless. This new handoff procedure reduces the discovery phase using a selective scanning algorithm and a caching mechanism.
8056566
Bayesian Evolutionary Optimization Using Helmholtz Machines
Recently, several evolutionary algorithms have been proposed that build and use an explicit distribution model of the population to perform optimization. One of the main issues in this class of algorithms is how to estimate the distribution of selected samples. In this paper, we present a Bayesian evolutionary algorithm (BEA) that learns the sample distribution by a probabilistic graphical model known as Helmholtz machines. Due to the generative nature and availability of the wake-sleep learning algorithm, the Helmholtz machines provide an effective tool for modeling and sampling from the distribution of selected individuals. The proposed method has been applied to a suite of GA-deceptive functions. Experimental results show that the BEA with the Helmholtz machine outperforms the simple genetic algorithm.