A trojan detector generating algorithm based on chaotic theory

Authors:
Jie Qin;Qun Si;Huijuan Yan;Fuliang Yan
Affiliations:
College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China;College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China;College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China;College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China
Venue:
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Year:
2011

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Abstract

After studying the existing detector generating algorithms used in the intrusion detection systems, we improves the lacks of the algorithms and use them into Trojan detection system, and propose a new approach of detector generating based on chaotic theory. The over-spread character of chaos sequence combined the concept of weighted Euclidean distance was used to generate set of detector with better distribution, and chaos initial value sensitivity was used to enlarge the searching space. The experiment indicates that the algorithm not only remains the diversity of population but also has fast astringency speed.