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基于数值序列分析的容侵异常检测算法
引用本文:赵峰,李庆华.基于数值序列分析的容侵异常检测算法[J].小型微型计算机系统,2006,27(8):1483-1485.
作者姓名:赵峰  李庆华
作者单位:1. 华中科技大学,计算机科学与技术学院,湖北,武汉,430074
2. 国家高性能计算中心(武汉)湖北,武汉,430074
摘    要:面向入侵容忍的入侵检测是网络安全最前沿的研究热点之一.受容侵服务对象本身固有缺陷及系统噪声数据的干扰,传统异常检测算法在容侵系统中检测入侵的准确度不高且耗时较长,影响了容侵系统性能,不再适用.在分析容侵系统特性和现有异常检测方法的基础上,结合数据抗噪思想,提出了一种基于数值序列统计分析的容侵异常检测算法.理论上对算法时间复杂度的分析和真实数据集上的实验结果均表明该算法是可行高效的.

关 键 词:入侵容忍  异常检测  噪声数据  序列分析
文章编号:1000-1220(2006)08-1483-03
收稿时间:05 12 2005 12:00AM
修稿时间:2005-05-122005-08-27

Novel Numerical Sequence Analysis-Based Anomaly Detection Algorithm for Intrusion Tole-rance System
ZHAO Feng,LI Qing-hua.Novel Numerical Sequence Analysis-Based Anomaly Detection Algorithm for Intrusion Tole-rance System[J].Mini-micro Systems,2006,27(8):1483-1485.
Authors:ZHAO Feng  LI Qing-hua
Affiliation:1.School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;2.National High Performance Computing Center(WuHan
Abstract:Intrusion-tolerant intrusion detection has become another pivotal techniques in network security. In a noisy environment, an observation may not accurately reflect the underlying intrusion, and this would depress the intrusion-tolerant ability of system. In this paper, we provide a probabilistic connection from the observation to the underlying true value, and present a novel numerical sequence analysis-based anomaly detection algorithm for intrusion tolerance system (ITS). Finally the theoretical analysis and empirical results demonstrate the robustness and efficiency of the algorithm.
Keywords:intrusion tolerance  anomaly detection  noisy data  sequence analysis
本文献已被 CNKI 维普 万方数据 等数据库收录!
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