Intrusion Detection Research Based on Genetic Neural Networks

摘要

The intrusion detection technology took one of computer network information security measures important methods,the invasion detection took one kind of dynamic safe protection technology,has provided to the internal attack,exterior attack and the disoperation real-time protection,receives before the endangerment in the network system interception and response invasion.Carried on the characteristic to the computer network data to withdraw,proposed used the Genetic Algorithms and the Neural Network unifies the invasion detection technology.The Genetic Algorithms have the computation to be simple,the optimized effect good characteristic.Avoids the BP algorithm using the Genetic Algorithms the local minimum point,thus achieves a minimum point of RMS error,also solved the BP Algorithm to restrain the slow question;At the same time also solved has alone used GA Algorithm often not to be able to seek in the short time to approaches the optimal solution this question.Has confirmed the invasion detection effect through the computer experiment,enhanced the recognition rate,causes reporting mistakenly rate and failing to report rate reduces.