Network intrusion detection by the coevolutionary immune algorithm of artificial immune systems with clonal selection

5th International Workshop on Mathematical Models and their Applications 2016

Salamatova, T.^1 ; Zhukov, V.^1

Reshetnev Siberian State Aerospace University, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk

660037, Russia^1

关键词: Artificial Immune System;    Clonal selection;    Co-evolutionary;    Immune algorithms;    Intrusion Detection Systems;    Network intrusion detection;    Rules based;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/173/1/012016/pdf
DOI  :  10.1088/1757-899X/173/1/012016

来源: IOP

【 摘 要 】

The paper presents the application of the artificial immune systems apparatus as a heuristic method of network intrusion detection for algorithmic provision of intrusion detection systems. The coevolutionary immune algorithm of artificial immune systems with clonal selection was elaborated. In testing different datasets the empirical results of evaluation of the algorithm effectiveness were achieved. To identify the degree of efficiency the algorithm was compared with analogs. The fundamental rules based of solutions generated by this algorithm are described in the article.