Research of the Artificial Immune Intrusion Detection System Model Based on the E-learning

摘要

How to resolve the existence limitation of the traditional artificial immune detection system, how to realize the superiority complementarities of evolution algorithm about the traditional artificial immune detection technique, how to improve detection accuracy, efficiency and safety of system, in order to resolve these problems, the article has designed a model, which can mutually study by its learning robot among the different intrusion detection systems based on artificial immune principle. We define some concepts as following: e-learning, learning robot, suspected degree, backup rule storehouse and credible third party; and then give the logical structure of the primary intrusion detection system model, architecture of the artificial immune intrusion detection system based on e-learning and principle of the model;last explain and describe this mode and learning robot.