An Implementation of Intrusion Detection System Using Genetic Algorithm 论文
2012International Journal of Network Security & Its Applications引用 294
Network Security and Intrusion DetectionAdvanced Malware Detection TechniquesNetwork Packet Processing and Optimization
摘要
There are various approaches being utilized in intrusion detections, but unfortunately any of the systems so far is not completely flawless. So, the quest of betterment continues. In this progression, here we present an Intrusion Detection System (IDS), by applying genetic algorithm (GA) to efficiently detect various types of network intrusions. Parameters and evolution processes for GA are discussed in details and implemented. This approach uses evolution theory to information evolution in order to filter the traffic data and thus reduce the complexity. To implement and measure the performance of our system we used the KDD99 benchmark dataset and obtained reasonable detection rate.