The future of intrusion detection can be broadly towards the following three directions. The first layer of meaning, that is, for the detection of distributed attacks; second meaning that the use of a distributed approach to detect distributed attacks, the key technology for the detection of collaborative information processing and intrusion extraction of the global information . That the use of intelligent methods and tools for intrusion detection. The so-called intelligent methods commonly used at this stage there are neural networks, genetic algorithms, fuzzy techniques, immune theory and other methods, these methods are commonly used in the invasion of feature recognition and generalization. Use of expert system ideas to construct intrusion detection system is one of the methods used. Especially those with self-learning ability of expert systems to achieve a knowledge base constantly updated and expanded, so that intrusion detection system designed to prevent and continuously enhanced, should have a wider range of applications. Application of the concept of agent for intrusion detection attempts also have been reported. More consistent and efficient solutions should be regular in the sense of intrusion detection systems and intelligent detection of the detection software or a combination of modules used.
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