Research On Security Audit Analysis Algorithm Based On Grid

Internet is an important tool for communication in modern society, with the development of science and technology people have a higher request to the share of the network information resources, internet will be substituted by a more advanced technology, this will be Grid. The grid was considered the next generation Internet application, but its open style standard makes the grid to be attacked easier. The grid security becomes the core part of the grid application. As the grid information security guard system of grid security, the security audits system plays an important role. As one of the important mechanisms implementing network information security, Security audit has a significant effect on establishing a set of network security assurance system. However there are some problems in traditional security audit system such as low rate of accuracy, slow speed and poor self-adaptability. In order to solve these problems, there presented network security audit system based on data mining in recent years. Data mining is a new developing and advanced intelligent datum analytical method, which are used widely within short time. It aims at drawing hidden prediction information from a large number of data, digging the potential mode among the data, finding out the information which is often been neglected, and then presents the information to users in an easy-understanding way.Both data mining and network security audit system based on data mining are focused on at present .The dissertation firstly studies the current state and development trend in security audit field and data mining technology, then puts forwards a solution of network security audit system based on data mining and provides the realization of key technology, It focus on the algorithm of association rules and carried on to it improved. Firstly, we focus on the algorithm of association rules and study the Apriori and FP-Growth algorithm which have been proved to be efficient to mine association rules. As to the question that these two algorithms exist, an improved algorithm based on main attribute FP-tree is proposed; Secondly, Security audit and data mining technology are studied, By finding out the combination between data mining and security audit in technology, the security auditing model based on Association Rules is set up, in this system the improved algorithm is used and has realized the detection of unusual behaviors and attack, this system improves the speed of audit and the rate of accuracy.