Research Of Virus Filtering Firewall Technology Based On Signature Word

In order to improve the efficiency of virus filtering firewall, this thesis uses the technology based on signature word, in accordance with the idea of grade filter, at the network level, using intermediate driver filtering technology. Implementation of the data packets flowing through the firewall by port, protocol and MAC address filtering, some of the data packet of signature word virus filtering.; in the application layer, based on HTTP protocol, on the web page contents of data packets virus filtering by keywords.Virus filtering engines uses Bloom Filter technology to improve filtration efficiency. In theory, extended to three-dimensional model of the algorithm, called TBF, which used for large data sets represent and query. The TBF differentiates elements in a data set depending on their query cost, by clustering elements into different subset, and provides different number of hash functions to minimize the total query cost. The genetic algorithm is employed to solve the problem, by the maximum entropy distribution model as the initial search point. The result of numerical experiments demonstrates the effectiveness of the proposed algorithm, the optimal solution in the vicinity of the search point.This thesis is designed and implemented a based signature word virus filtering (antiVirusFW). The firewall has a monitoring network traffic, network layer and transport layer virus filtering, based on URL, keywords and time access control and other functions, the system is stable, to achieve the desired results.