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Functional Verification of signature detection Architectures for High Speed Network Applications

International Journal of Automation and computing 2012年第4期9卷 395-402页

作者： M.Arun A.Krishnan Department of Electronics and Communication Engineering Sri Krishna College of Engineering and Technology K.S.Rangasamy College of Technology

To meet the future internet traffic challenges, enhancement of hardware architectures related to network security has vital role where software security algorithms are incompatible with high speed in terms of Giga bits per second (Gbps). In this paper, we discuss signature detection technique (SDT) used in network intrusion detection system (NIDS). Design of most commonly used hardware based techniques for signature detection such as finite automata, discrete comparators, Knuth-Morris-Pratt (KMP) algorithm, content addressable memory (CAM) and Bloom filter are discussed. Two novel architectures, XOR based pre computation CAM (XPCAM) and multi stage look up technique (MSLT) Bloom filter architectures are proposed and implemented in third party field programmable gate array (FPGA), and area and power consumptions are compared. 10Gbps network traffic generator (TNTG) is used to test the functionality and ensure the reliability of the proposed architectures. Our approach involves a unique combination of algorithmic and architectural techniques that outperform some of the current techniques in terms of performance, speed and powerefficiency.

关键词： signature detection network intrusion detection system (NIDS) content addressable memory (CAM) Bloom filter network security

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A Practical Comparison between signature Approach and Other Existing Approaches in Error detection over TCP

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Communications and Network 2016年第1期8卷 31-38页

作者： Mohammed J. Bawaneh Mahmud S. Alkoffash Shihadeh Alqrainy Hasan Muaidi Department of Information Technology Al-Huson Polytechnic Al-Balqa Applied University Al-Salt Jordan Prince Abdullah Bin Gazi Faculty of Information Technology Al-Balqa Applied University Al-Salt Jordan

Error coding is suited when the transmission channel is noisy. This is the case of wireless communication. So to provide a reliable digital data transmission, we should use error detection and correction algorithms. In this paper, we constructed a simulation study for four detection algorithms. The first three methods—hamming, LRC, and parity are common techniques in networking while the fourth is a proposed one called signature. The results show that, the hamming code is the best one in term of detection but the worst one in term of execution time. Parity, LRC and signature have the same ability in detecting error, while the signature has a preference than all others methods in term of execution time.

关键词： Error detection Error Control Simulator Packet Size detection Algorithms signature detection

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Artificial Immune detection for Network Intrusion Data Based on Quantitative Matching Method

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Computers, Materials & Continua 2024年第2期78卷 2361-2389页

作者： CaiMing Liu Yan Zhang Zhihui Hu Chunming Xie School of Electronic Information and Artificial Intelligence Leshan Normal UniversityLeshan614000China Intelligent Network Security detection and Evaluation Laboratory Leshan Normal UniversityLeshan614000China Internet Natural Language Intelligent Processing Key Laboratory of Education Department of Sichuan Province Leshan Normal UniversityLeshan614000China

Artificial immune detection can be used to detect network intrusions in an adaptive approach and proper matching methods can improve the accuracy of immune detection *** paper proposes an artificial immune detection model for network intrusion data based on a quantitative matching *** proposed model defines the detection process by using network data and decimal values to express features and artificial immune mechanisms are simulated to define immune ***,to improve the accuracy of similarity calculation,a quantitative matching method is *** model uses mathematical methods to train and evolve immune elements,increasing the diversity of immune recognition and allowing for the successful detection of unknown *** proposed model’s objective is to accurately identify known intrusions and expand the identification of unknown intrusions through signature detection and immune detection,overcoming the disadvantages of traditional *** experiment results show that the proposed model can detect intrusions *** has a detection rate of more than 99.6%on average and a false alarm rate of 0.0264%.It outperforms existing immune intrusion detection methods in terms of comprehensive detection performance.

关键词： Immune detection network intrusion network data signature detection quantitative matching method

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