A Typical Set Method of Intrusion Detection Technology Base on Computer Audit Data

Du Xuetao, Ji Chunfu, Fu Yubing
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引用次数: 11

Abstract

The signature database of intrusion detection system is usually built by the short sequences of system call. The real-time efficiency and accuracy of intrusion detection is greatly influenced by the scale of signature database and the approach of intrusion data analysis. In this paper, a typical set method is provided to compress the normal signature database. Using the data set of UNM CERT sendmail for testing, the feasibility of typical set method is validated, and a proper rate of typical set for intrusion detection is proposed. Meanwhile, the LSM (Linux Security Modules) framework is presented to hook system calls and other audit data from operation system to build intrusion detection system signature database and identify intrusion activity. A system service process oriented detection idea is also introduced to make the intrusion detection more pertinent and accurate. Abnormal detection experiments results show good performance of our intrusion detection method.
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基于计算机审计数据的入侵检测技术的典型集方法
入侵检测系统的特征库通常由系统调用的短序列组成。特征库的规模和入侵数据分析的方法对入侵检测的实时性和准确性有很大的影响。本文提出了一种典型集压缩特征库的方法。利用UNM CERT发送邮件的数据集进行测试,验证了典型集方法的可行性,提出了典型集用于入侵检测的适当比率。同时,提出了LSM (Linux Security Modules)框架,从操作系统中钩接系统调用和其他审计数据,构建入侵检测系统特征库,识别入侵活动。为了提高入侵检测的针对性和准确性,还引入了面向系统服务过程的检测思想。异常检测实验结果表明了该方法的良好性能。
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