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.
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Qin, J., Si, Q., Yan, H., Yan, F. (2011). A Trojan Detector Generating Algorithm Based on Chaotic Theory. In: Huang, DS., Gan, Y., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing. ICIC 2011. Lecture Notes in Computer Science, vol 6838. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24728-6_68
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DOI: https://doi.org/10.1007/978-3-642-24728-6_68
Publisher Name: Springer, Berlin, Heidelberg
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