intelligent database security
54853795
Application Wise Innovation on Intelligent Database Technique
Databases are systems, which are used for storing data. With the increase in information at rapid pace, extraction of relevant information becomes time consuming using traditional databases. Thus, the need of intelligent or smart databases arises. Intelligent database is a system in which automation is applied on conventional database in order to enhance its functionality and efficiency. Intelligent databases help us in making decisions and can respond or act to situations by learning. It has applications in wide areas such as healthcare, automobile, education, information security, business etc. This paper represents various intelligent database techniques, which are further used for implementation of applications of this domain.
Supreet Kaur
59235465
Countermeasure of Statistical Inference in Database Security
The security management of databases involves complex issues for the companies. The complexity of security measure needs to apply increases with the most complex database. The statistical queries associated with statistical database uses the aggregate functions such as min, max, average and count to provide statistical information about entries. The data vulnerabilities raise the security issues because of a clever combination of statistical queries to obtain confidential information for the individual entry. Undeniably, malpractices of user allow taking advantage of the aggregate functions and compromising the confidentiality. The statistical interference analysis poses significant risk for the security database system. This research proposes intelligent framework which is useful to hide sensitive information in case of combination of statistical queries. Firstly, the framework is useful to define the sensitive information for the decision making of the administrator to set some rules. Secondly, the framework explores the relationship between sensitive and other attributes in case of rule discrimination based on attribute orientation and thus allows making a decision on attributes useful to drive confidential information.
2018 IEEE International Conference on Big Data (Big Data)
Umar Albalawi
62392335
Intelligent access control and intrusion detection techniques For web database security
Natarajan Jaisankar
17908977
Design of intelligent database program for an interactive auto responsive SMS based opinion poll system using triggers and stored procedure
Short Message Service (SMS) has remained an integral part of the mobile phone technology, in spite of the huge evolution experienced in the technology since the last two decades, due to its wide acceptance by mobile consumers as a valuable means of exchanging and broadcasting text messages, and utilizing special applications such as SMS based mobile banking and SMS based control systems. Therefore, there is no gainsaying in the fact that studies and projects aimed at leveraging the mass and steady adoption of SMS will continue to emerge. In this paper, we present procedures for developing an intelligent database program for a SMS based opinion poll system using triggers and stored procedure. The solution we propose, aside benefitting from the data security and integrity and performance optimization of using triggers and stored procedure with data in a secured Relational Database Management System (RDBMS) offers an innovative approach for incorporating intelligence in database for related applications.
2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE)
Kehinde O Adetiloye
218832273
Research on Intelligent Security Protection of Privacy Data in Government Cyberspace
Based on the analysis of the difficulties and pain points of privacy protection in the opening and sharing of government data, this paper proposes a new method for intelligent discovery and protection of structured and unstructured privacy data. Based on the improvement of the existing government data masking process, this method introduces the technologies of NLP and machine learning, studies the intelligent discovery of sensitive data, the automatic recommendation of masking algorithm and the full automatic execution following the improved masking process. In addition, the dynamic masking and static masking prototype with text and database as data source are designed and implemented with agent based intelligent masking middleware. The results show that the recognition range and protection efficiency of government privacy data, especially government unstructured text have been significantly improved.
2020 IEEE 5th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)
Honbo Yang Liangqiang Huang Chunfeng Luo Qinyong Yu
209854210
Design and Implementation of Modbus Protocol for Intelligent Building Security
Internet of Things is a system where appliances are embedded with software, sensors and actuators. The devices are able to transfer data over a network and also communicate with each other [1] The literature reports that many systems based on single mode of monitoring, power or lighting are not integrated into one control system, so there are complex control cumbersome, high operating costs. To solve this problem, we propose a Modbus protocol design for intelligent building security, All these perception control management are integrated into one system. This system adopts the Modbus protocol format for the data communication, the hardware system with processor as ARM5708 industry as the core development board development and design, Using Linux operating system, JavaWeb development and database management technology to achieve data interaction, display, storage, identification and other functions, Completed an embedded network communication protocol gateway and industrial design, and connects the traditional serial connection Modbus fieldbus and Ethernet communication, and finally the application is realized through Modbus TCP protocol. Compared with the previous building security design, we adopted Modbus bus control, which saved the resources of the core development board and effectively applied the Modbus TCP protocol and Modbus RTU protocol. The webpage control end realizes the collection of the temperature and humidity gas concentration of the intelligent building and the detection of the human body infrared. For the purpose of verification and testing, a three story building prototype was built.
2019 IEEE 19th International Conference on Communication Technology (ICCT)
Wenzhu You Haibo Ge
86635826
Face Recognition using Content Based Image Retrieval for Intelligent Security
This paper try to construct an intelligent security system based on face recognition. The data used in this research are frontal face images and without obstacles, and facial images with obstacles. In this research, we used Content Based Image Retrieval or CBIR method. Approximately 10,000 images used in this work which is collected from internet, police department office, and shooting directly as primary data. Facial image data are stored in the database object based files through process of identification and facial recognition. Consequently, facial images are retrieved using facial similarity techniques. In this stage of identification an application can specify shape of the front face, performs feature extraction, and running intelligent Similarity (matching face data) which open the door automatically This system can be used to minimize the occurrence of criminality occurs nowadays. This system can be used such as for house door security, office doors, and airport gates. The experiments result show that our algorithm quite good in face detection and recognition to open the door.
Sri Karnila S Y Irianto Rio Kurniawan
216104251
Shield: An Intelligent and Affordable Solution for Home Security
Reliable home security is vital for progression of our societies. Traditional methods to protect house premises against intruders include security guards and CCTV cameras which is labor intensive, expensive and unreliable. In this paper, we propose a wireless, intelligent, affordable and portable IoT based home security system. The input unit consisting of multiple sensors is placed at the entry points of the house. The SONAR, motion and sound sensor capture the situation at entry points. The sensor data is collected and wirelessly transmitted by NodeMCU to the Raspberry Pi server via an online database. The server uses logistic regression classification algorithm to detect human presence at the gate. Once intruder is detected, alerts are generated to the user and camera mounted on the input unit is turned on to take pictures. Facial recognition unit is also incorporated to detect known versus unknown faces. The information of intrusion including image and timestamp are send to the Shield's mobile application.
2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)
Aimen Shahid Mahroo Ali Mariam Eijaz Sidra Minhas Nosheen Sabahat
52074492
De identification of metering data for smart grid personal security in intelligent CCTV based P2P cloud computing environment
Various security threats exist in the smart grid environment due to the fact that information and communication technology are grafted onto an existing power grid. In particular, smart metering data exposes a variety of information such as users' life patterns and devices in use, and thereby serious infringement on personal information may occur. Therefore, we are in a situation where a de identification algorithm suitable for metering data is required. Hence, this paper proposes a new de identification method for metering data. The proposed method processes time information and numerical information as de identification data, respectively, so that pattern information cannot be analyzed by the data. In addition, such a method has an advantage that a query such as a direct range search and aggregation processing in a database can be performed even in a de identified state for statistical processing and availability.
Peer to Peer Netw. Appl.
Donghyeok Lee Namje Park Geonwoo Kim Seunghun Jin
60847093
Intelligent temporal reasoning Using rules for temporal database Security
Mariappan Marikkannan