Research Of Intrusion Detection Model Based On Artificial Immune On Cloud Computing Platform

The development of economic, promote the commercialization of various types ofcommunication technologies, cloud computing as one of the best technology，perform well.Cloud computing bring not only greatly convenience but also security issues that people arevery concerned about. Security issues of cloud computing cause huge damage compared totraditional network, the data involved not a single user but for the entire user. Therefore,it’s rather urgent to study the security issues of cloud computing.Cloud computing as development of distributed computing, parallel computing andvirtualization technology, provide good conditions for the deployment of traditionalintrusion detection system. Based on cloud computing technology study a intrusiondetection model that well adapt to the cloud computing platform, The model is designed byartificial immune system in dynamic clonal selection algorithm and general intrusiondetection system. Existing dynamic clonal selection algorithm generated high similarityimmature detector after self tolerance, increasing the probability that detector after thevariant lots of detectors become self matching, while reducing the diversity of the detector,the secondary convergence of the system will also be affected. For the lack of existingdynamic clonal selection algorithm, this paper presents a mixed matching rules named M-hr,considering relationship between the overall and the part, is a more generic matching rules,so that the whole system can work well.Biological immune system is a distributed, self-organizing, diversity, dynamic balanceand ability of adaptive system, the artificial immune algorithm is based on the basicmechanisms of biological immune system, Imitate the body’s immune system,is a universalsignificance biomimicry algorithm, dynamic clonal selection algorithm is a process ofevolution and variation, this makes the intrusion detection system based on the algorithmcan better adapt to the dynamically changing data environment. In this paper, on the basis ofgeneric intrusion detection model,proposed artificial immune intrusion detection model incloud computing platform vsphere, By creat multiple virtual hosts in vsphere platform andlet intrusion detection model distributed in multiple virtual host, avoid a single point ofdeployment and use the resources of the host more effective. after proposed the model, descript the workflow of various functional modules in detail，focuses on intrusion detectionmodule based on dynamic clone immune algorithm.Finally, do experimental analysis of the improved dynamic clonal selection algorithm,the experiment using KDDCUP99data sets, preprocessing the data sets, by comparativeanalysis of the experimental, improved dynamic clonal selection algorithm has a betterperformance, can be used in cloud computing platform vsphere for detection work.