Research Of Intrusion Detection System Based On Immunogenetic Algorithm

The basic function of biological immune system is to recognize self and non-self, and then to classify and eliminate non-self. Biological immune system has immune recognition, immune memory, immune regulation, immune tolerance, immune surveillance and other characteristics. It is a self-adaptive, self-learning, self-organization, parallel and distributed complex system.The purpose of Artificial Immune System is to extract special information processing mechanisms contained in biological immune system, and then to study and design the corresponding models and algorithms, which could be used to solve many kinds of complex problems. Artificial Immune System is a novel intelligent computing research field after Artificial Neural Network and Evolutionary Computation, and it is an emergent interdisciplinary research field generated by life science and computer science.Intrusion Detection System is one of the most important parts in network security research field. Since biological immune system is a very effective self-protected system, which effectively recognizes known and unknown antigens, it brings many inspirations for intrusion detection system. It is of great significance to the establishment of new intrusion detection theory and method based on biological immune system, also to the change of the current situation of network security by deeply researching into the biological immune system's information processing mechanisms, establishing and designing effective intrusion detection models and algorithms. Therefore, new intrusion detection mechanism based on biological immune system becomes more and more remarkable, which is an important force to improve current network security research.The purpose of the dissertation is to explore and research into the learning and detecting mechanisms contained in biological immune system, the composition of the intrusion detection system, and then to design efficient models and algorithms-Immunogenetic Algorithms for intrusion detection system according to the theory of negative selection based on immune system. Ergodic property and convergence property is approved in theory. After all, emulation experiment is made for the Immunogenetic Algorithms by KDDCUP'99 standard data set, and the result indicate that network intrusion can be detected by the Immunogenetic Algorithms and reach the anticipation object.