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Improved Genetic Algorithm in Intrusion Detection Model Based on Artificial Immune Theory

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4 Author(s)
Jing Xiaopei ; Inf. & Electr. Coll., Naval Univ. of Eng., Wuhan, China ; Wang Houxiang ; Han Ruofei ; Li Juan

After analysis the characteristics of AlS-based intrusion detection system, a new AlS-based intrusion detection model based improved genetic algorithm is established. By utilizing prominent characteristics of genetic algorithm, such as automatic optimizing, global researching, and adaptability, the new model uses genetic operator to improve the candidate detectors generating algorithm and reduce detectors redundancy. The detectors generated by new model have good fitness and better detection ability. Experiments show that this model can effectively increase the true positive rate of the IDS.

Published in:

Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on

Date of Conference:

18-20 Jan. 2009

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