Instruction Detection Techniques Research Based On Genetic Neural Networks

With the development of computer network techniques and science technology, information industry and it's use have expanded greatly, enterprise(for instance, government, finance, telegraphy .Etc) and personal user have depended on networks more and more larger, at the same time, such has brighten lots of information security in hidden trouble, network security is increasingly paid attention to and concerned about, it is critical problem how to protect security in networks and information system.Traditional network security model could not fit development of network technology, PPDR model emerged, as the times require. Instruction detection technology is PPDR model importantly composed part, and it make up for absence about firewall and data security protection. This technology has not only distinguished from computer and network resources, but also has given important information in instruction; it has not only detected instructing action from out word, but also has controlled user's actions.Instruction detection technology is core in instruction detection system, it include abnormity instruction and abused instruction detection, on the basis of traditional network security model, PPDR model, instruction detection principle and instruction technology analysis, the author has brought forward instruction detection method basedGenetic neural networks, adopted Genetic algometry and BP neural networks union method, and applied in instruction detection system, solve traditional BP algometry lie in absence about constringency rate slowly and immersion minim value. The result proved, this technology was well, it lied in advantage about learning rate rapidity, classify nicety high.