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Research of unknown Trojan detection based on artificial immune
人工免疫在未知木马检测中的应用研究*

Keywords: artificial immune,unknown Trojan detection,immunity study,detection rate,rate of false alarm
人工免疫
,未知木马检测,免疫学习,检测率,误报率

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Abstract:

According to the defects of the traditional technology of the detection of the Trojan, gave a method of the Trojan detection based on the artificial immune principle. Applied the artificial immune principle in the Trojan detection because of the adaptive and the immunity study capacity. Analyzed the source of the data features; gave the formula of the similarity calculation of the antibody and antigen or both of the antibodies and the fitness calculation of the antibodies. Founded the model of the Trojan detection system. Gave the test of the Trojan detection based on the artificial immune principle to prove that this Trojan detection system can improve the detection rate and reduce the rate of false alarm.

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