Study On Wireless Network Detection System Based On Immune Agent

These years, development of the Wireless network is very fast. However, manyrelated security problems also come with the development. The most serious problem isthe malicious nodes. Malicious nodes is a collection of some harmful actions to theWireless network. The most common malicious nodes are DDOS attack、Black holeattack、Worm hole attack and so on. So, the security system of Wireless network isalways against these malicious nodes.BIS(Biological Immune System) is a physiological system which protectsorganism from pathogens. It has some advantages such as distributed protection, selforganization, immune memory and robustness. It likes the distributed structure of thewireless network. So we can enhance the ability of the Wireless Network DetectionSystem by combine them together. In addition, Mobile Agent is a distributed computingtechnology emerging recently. Its mobility and flexibility are perfectly fit for developingthis system.Based on the deeply analysis of the structure of Wireless network, the principles ofThe Detection system,technologies and structures. We introduce a model of Immunebased Mobile Agent Malicious node Detection System used in wireless network. anddescribe some model of the system. Then, we presents the structure of the detectionmodel and analysis some algorithm and mechanisms related to the detector. The mainobject of this system is the data of the wireless network.The most advantages of this system is the Monitor model which supplies the“co-stimulation signal”. This mechanisms let the system to detect its own source when itis necessary, this can enhance the speed of all of the system and reduce the amount ofdetected contents. The detector is the most important part in the system, we analyze thetraditional detector generation algorithm(The Negative Selection algorithm) andcombine it with sharing function which can make the detector more diversity andenhance the ability of detecting. At last, we design a simulation to make sure whetherthis algorithm can enhance the ability of the detector.