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The techniques for computer security intrusion detection based on Preserving Embedding for Anomaly Detection

机译:基于保护嵌入对异常检测的计算机安全入侵检测技术

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Computer security has been attracting more and more attention, since intrusion detection have become a significant threat in recent years. The techniques for intrusion detection are generally classified into two categories, which are anomaly detection and misuse detection respectively. In this paper, we mainly focus on anomaly detection on behavior of process which is in the form of system call traces. Each process trace is recorded by different system calls that can be naturally deemed as high dimensional data, as one operating system may have a great deal of different system calls. Thus, it is natural without any doubt to say that dimension reduction technique has the opportunity to make a better performance improvement by exploiting classifier in the low dimensional subspace.
机译:计算机安全一直在吸引越来越多的关注,因为入侵检测近年来已成为一个重大威胁。用于入侵检测的技术通常分为两类,分别是异常检测和滥用检测。在本文中,我们主要专注于异常检测过程的行为,这些过程是系统呼叫痕迹的形式。每个流程跟踪都被不同的系统调用记录,可以自然被视为高维数据,因为一个操作系统可能具有很大的不同系统调用。因此,毫无疑问地说,它很自然地说,尺寸减少技术有机会通过在低维子空间中利用分类器进行更好的性能改进。

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