The Design And Implementation Of Disaster System Quantitative Evaluation And Self-vulnerability Defense Technology In Disaster Recovery System

With the development of network technology we feel more and more convenient, at the same time it also brought us enormous security hidden trouble. Along with the internet is generally to every company or family, the crime is frequent on the internet. The network safety became more and more important that affect the network quality.Disaster recovery technology in the network is one of the research hotspot and emphasis in the field of Network Information Security. Disaster system quantitative evaluation and self-vulnerability defense function is the kernel and key technology in the disaster recovery system. The recent analyses and research of disaster recovery system couldn't give the disaster system a precise disaster numerical value based on the disaster label and the mathematics model. So the system can't give a general evaluation for the key network system and then recover the system according to the disaster situation. The recent disaster recovery system also couldn't realization immunity fiinction.The immunity function means self-vulnerability defense and unknow vulnerability defense. Morever, because current disaster recovery sytstem couldn't have the ability of self-studying, it cannot survive the same intrusion as soon as possible automatically.Based on the reasons given above, Firstly, this paper designs a whole framework of a Disaster Recovery System by researching and adopting intrusion detection technology, disaster system quantitative evaluation, self-vulnerability defense function ,backup and recovery technology and so on. Secondly, it discusses the research and implementation of disaster system quantitative evaluation, self-vulnerability defense function in detail.This system adopts analytical hierarchy process and attack character matrix technology to realize disaster system quantitative evaluation and self-vulnerability defense function.Thirdly this system have already operated in our laboratory,it can catch all kinds of destroy actions betimes,exact and efficiently.It can give the precise disaster value according to the status of the disaster and then make out the right decision.Finally, this paper summarizes the contributions of our work then gives an expectation of future research.