Research Of Network Security Based On Dynamic Clonal Selection

The rapid development of computer technology and network information systems enable to network security problem increasingly prominent. And the function of some can ward off the outside world bacterial invasion of the body's immune system is caused by vast number of interested scholars. It is a very effective way to solve network security problem. This article is based on a study of artificial immune to analysis and use of dynamic clonal selection algorithm. To establish an intrusion detection model based on dynamic clonal selection algorithm and set a number of relevant parameters can optimize the system, by simulating test authenticate various parameters effect on the system and prove that intrusion detection model of basing on dynamic cloning algorithm is a an effective way to solve network security solution.The main work done in this paper lies in the following: A new immune based dynamic intrusion detection model is proposed, the dynamic description method of self and antigen is established, the concept of lymphocyte dynamic immune tolerance is proposed, and the dynamic models and the corresponding recursive equations of the lifecycle of matured lymphocytes, and the immune memory are presented. The problem of the dynamic description of self and nonself in the computer immune systems is solved, and the defect of the inefficiency of production of matured lymphocytes in the traditional computer immune systems is effectively overcame. Simulations of this model are undertaken, and the comparing experiment results show that the proposed intrusion detection model has a better adaptability than the traditional methods.The experiment make a simulation to the dynamic clonal selection algorithm model of Intrusion Detection System and the traditional invasion method based on immune for comparison, confirmed the edge of this method in the detection effectiveness and efficiency; solving the problem of the dynamic description of self and nonself in the computer immune systems, and overcoming the defect of the inefficiency of production of matured lymphocytes in the traditional computer immune systems.