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Intrusion Detection Technique Based on the Grey Theory

机译:基于灰色理论的入侵检测技术

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摘要

The detection technique is designed and equipped to ensure the security of the computer system, and to find and report the unauthorized and the abnormal phenomena of the system on time. It is a technique used to detect the behavior that goes against the security principle of the computer system. The author applies the grey theory to build a instrusion detection data based on GM(1,1)model to compensate the data preprocessing model, and an index reducing algorithm which is based on grey relation. They have some characteristics, such as a few samples, low complexity, easy procedural realization, and can solve the renewed samples quickly. We have had a demonstration analysis, which shows that these models can help to reduce the occupied system resources obviously, enhance the timeliness and accuracy, and reduce rate of undetected errors and false retrieval.
机译:检测技术的设计和装备旨在确保计算机系统的安全,并及时发现并报告系统的未授权和异常现象。它是一种用于检测违反计算机系统安全原理的行为的技术。作者运用灰色理论建立了基于GM(1,1)模型的入侵检测数据,以补偿数据预处理模型,并提出了一种基于灰色关联的索引减少算法。它们具有一些特征,例如样本数量少,复杂度低,易于实现程序,并且可以快速解决更新的样本。我们进行了演示分析,结果表明,这些模型可以帮助减少明显的系统资源占用,提高及时性和准确性,并降低未发现的错误和错误检索的比率。

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