AN INTRUSION-TOLERANT INTRUSION DETECTION METHOD BASED ON REAL-TIME SEQUENCE ANALYSIS
One of the most advanced research issues in network security is intrusion-tolerant intrusion detection, which has become another essential technique to protect computer systems and prevent the intrusion from generating a system failure. This paper presents a novel intrusion-tolerant intrusion detection method based on real-time sequence forecast analysis for network stream. We devise linear regression techniques to forecast network stream sequences.According to these, its helpful for us to analysis intrudersbehaviors and to recognize undesirable intrusions. We also provide recovery strategies to tolerate intrusion. Experiments on the http server demonstrate that our method outperform the others.
Intrusion detection Intrusion tolerance Sequence Forecast Trust recovery
FENG ZHAO QING-HUA LI LI JIN
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 4300 School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 4300
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
2692-2696
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）