Storage-Based Intrusion Detection Using Artificial Immune Technique

Authors:
Yunliang Chen;Jianzhong Huang;Changsheng Xie;Yunfu Fang
Affiliations:
Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, P.R. China 430074 and School of computer science, China University of Geosciences, Wuhan, P.R. ...;Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, P.R. China 430074;Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, P.R. China 430074;Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, P.R. China 430074
Venue:
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
Year:
2009

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Abstract

Storage-based intrusion detection systems (SIDS) allow storage systems to watch for suspicious activity. This paper presents a novel storage- based intrusion detection scheme to monitor the user's activities with the artificial immune technique. Compared with the previous SIDS prototype, the SIDS using artificial immune technique can recognize a strange suspicious behavior. Before simulation, a set of appropriate parameters of algorithm are fitted according to the mean convergence speed and detection efficiency. The simulation shows the proposed scheme can reach higher detection rate and lower false alarm rate than the previous ones.