基于复合会话的网络异常行为检测系统

Gang He, Xiaochen Liu, Xiaochun Wu, Dechen Yu
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引用次数: 2

摘要

近年来,随着互联网在全球范围内的快速发展和各种App应用的迅速普及,互联网越来越成为人们生活中不可或缺的一部分。与此同时,由网络行为异常引起的各种网络问题也比以往任何时候都更加突出。此外,我们在互联网上也有很多个人信息,如果这些信息被泄露,将给我们带来巨大的损失。因此,寻找一种有效的检测网络异常行为的方法变得越来越重要。本文首先介绍了一种新的基于复合会话的检测方法,然后验证了该方法的有效性。这种方法的另一个目的是识别受感染的宿主。
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An Abnormal Network Behavior Detection System Based on Compound Session
In recent years, with the rapid development of the Internet on a global scale and the prompt popularization of various App applications, the Internet is increasingly becoming an integral part of people's lives. Meanwhile various network problems caused by abnormal network behavior have become more prominent than any time before. Furthermore we also have a lot of personal information on the Internet, which will bring us significant losses if are gave away. For that, to find an effective method to detect the abnormal network behavior is becoming more and more important. This paper first introduces a new detection method based on compound session, and then shows the effectiveness of the proposed method. A further objective of this method is to identify the infected host.
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