Flow Load Balancing Algorithm Based on Prediction Mechanism of Gray System and B + tree Structure
The rapid development of network bandwidth, net work intrusion detection systems (NID5) are becoming increa singly difficult to keep up with the speed of the network. Paral lel intrusion detection can significantly improve the perfor mance of intrusion detection. Parallel load balancing based intrusion detection, how to calculate the load on the sensor and how to divide the network traffic to more than one sensor is a very important issue. In this paper we propose flow load ba lancing algorithm based on prediction mechanism of gray sys tem and B + tree structure. Cray system theory provides reli able scientific analysis for sensors load in parallel intrusion to predict load, and to divide the network traffic based B+ trees high-performance exploration and fully balanced features to achieve network load balancing. Our experimental results show the feasibility and effectiveness of the scheme, it can ef fectively balance the load, reducing the system loss rate.
Network Intrusion Detection Systems Load Balancing Gray System B + tree Prediction
Wang Zheng-xia Zhong Hui-hui
Department of Computer Science, Sichuan University Chengdu, China
国际会议
成都
英文
1577-1580
2010-12-17（万方平台首次上网日期，不代表论文的发表时间）