Application of evolutionary computingto Intrusion Detection System

Ye Du · Applied science and technology · 2004

Through simulating the evolutionary process,many non-linear problems can be resolved.The biggest shortcoming of misuse detection is the lack for the ability to detect the unknown intrusions.Genetic algorithm was put into use ,in order to enhance the machine learing so as to find out the most hazardous attack subsets among huge data recorded in audit trail.The data was analyzed via the emulation test,and in the end the scenario set was optimized dynamically.

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