Research And Development Of Synthesized Resin Product Database System And Application Of Intrusion Detection

With the development of computer network technologies, the network technologies have been applied in every industry. People exchange information via network, supervise manufacture by using network, moreover exchange money on network. Speediness of network increases the product efficiency greatly, and advances social productivity.In this case, if there is a fault in the network, or if the information on the network was stolen or was modified with hostility, furthermore the network was corrupted by attacks, it will affects the social product very much. And the methods of attacks are spread on network as well as other knowledge. So it is very important to protect the network.But, it is not so safe to use firewall to protect networks. Because the methods of network attacks are so diverse, and the implements of network protocols and operating system have many faults, which can be made use of by hackers. These intrusion methods are impossible to defend effectively. The requirement of network intrusion detection is put forward under this condition. This thesis, on the basis of a synthesized resin product database system with functions of query and input from remote host, researches how to protect the system from hostile attacks. The research begins with code analysis of snort, a free and open source intrusion detection system (IDS), and anatomy the working principles and detection methods of this IDS, and after making clear the architecture of this program, enhances its functions by adding new codes. In the end, we make an experiment on applying the snort IDS. All the above lay a foundation for further researches.