Research On Application Of Improved Hybrid Genetic Algorithm In Immuno-intrusion Detection Model

Information sharing and networks opening bring us the convenience, but also put higher information security requirements at the same time. Network and information security has become a key issue of information systems.This paper studies the learning and detection mechanisms of biological immune system, the technologies and composition of intrusion detection system, based on the traditional GA theoretical models, to be intended use the theory of uniform design sampling(UDS), has been redesigned the crossover genetic operator in genetic algorithm, improved the chromosome similarity and its related content, incorporated into the local search strategy, gives an improved hybrid genetic algorithm(HGA); pull in the conception of detector redundancy and its relevant content, so that, associate detector redundancy with chromosome similarity. Using the HGA to evolution the mature detectors, then gives a new program of detector optimization and an immuno-intrusion detection model based on improved HGA. The final simulation experiment of the "algorithm" and "model" which is mentioned above test and verify the feasibility and validity of the "algorithm" and "model". This program maintains the diversity and efficiency of detector, can be validate to have the better performance in searching velocity, global optimal search ability and improving detection rate and reducing false alarm rate to a certain degree.First, study the related principles and technologies of intrusion detection and biological immune. From the concept of intrusion detection, function, effect, the basic structure to start, and further to study the analysis methods of intrusion detection systems, trends of development. At the same time, analysis the principle and mechanism of artificial immune system working compare the biological immune system with intrusion detection. Research the intrusion detection system model based on immune mechanisms.Then, research the immune intrusion detection model based on improved hybrid genetic algorithm. Prepared to discuss the improvements of the hybrid genetic algorithm, discuss and design the genetic operators, and apply the improved hybrid genetic algorithm in the detector improvements. Thus gives an improved model of intrusion detection system architecture and describes the working flow of each module.Finally, through the analysis of simulation and experimental results, test the improvement strategy, to reach a conclusion.