Intrusion Detection based on T Cell Receptor Principle

doi:10.23940/ijpe.19.09.p14.24072413

Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (9): 2407-2413.doi: 10.23940/ijpe.19.09.p14.24072413

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Intrusion Detection based on T Cell Receptor Principle

Hua Yang^a,*, and Tao Li^b

^aSoftware Engineering College, Zhengzhou University of Light Industry, Zhengzhou, 450001, China;
^bCollege of Computer Science, Sichuan University, Chengdu, 610065, China

Submitted on ; Revised on ; Accepted on
Contact: *.E-mail address: yanghua@zzuli.edu.cn

Abstract

Abstract: Network intrusion detection has become more significant in cyber security. The artificial immune system inspired by the biological immune system can detect unknown abnormal behaviors, which is similar to intrusion detection. In this paper, we introduce the T cell receptor principle and then propose the intrusion detection method from the T cell receptor extraction metaphor. Finally, experiments are carried out on the Iris data set and NSL-KDD data set. The results show that our method can detect abnormal behaviors, but it still has room for improvement. This paper seeks to provide researchers with a new idea of artificial immunity in intrusion detection.

Key words: intrusion detection, T cell receptor, artificial immunity

Hua Yang, and Tao Li. Intrusion Detection based on T Cell Receptor Principle [J]. Int J Performability Eng, 2019, 15(9): 2407-2413.

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References

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Intrusion Detection based on T Cell Receptor Principle

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