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In this paper, a new method based on Genetic Algorithm (GA) and vaccine mechanism has been used for intrusion detection. By using this new method, we can improve the generating efficiency of candidate detectors and reduce the false positive rate of classical Immunity IDS. The rest of the paper is organized as follows: In the next section we provide a general overview on GA and vaccine theory. In Section III we propose an immunity intrusion detection model based on GA and vaccine mechanism. Section IV introduces the key technology and algorithm of the new model. A new R-continuous bits matching rule based on BNDM is described in Section V. In Section VI we do the experiment and make a discussion of the results. The paper conclusion is in Section VII.

A new Immunity Intrusion Detection Model Based on Genetic Algorithm and Vaccine Mechanism