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Anomaly-based Network Intrusion Detection: Techniques, Systems And Challenges

机译:基于异常的网络入侵检测:技术,系统和挑战

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摘要

The Internet and computer networks are exposed to an increasing number of security threats. With new types of attacks appearing continually, developing flexible and adaptive security oriented approaches is a severe challenge. In this context, anomaly-based network intrusion detection techniques are a valuable technology to protect target systems and networks against malicious activities. However, despite the variety of such methods described in the literature in recent years, security tools incorporating anomaly detection functionalities are just starting to appear, and several important problems remain to be solved. This paper begins with a review of the most well-known anomaly-based intrusion detection techniques. Then, available platforms, systems under development and research projects in the area are presented. Finally, we outline the main challenges to be dealt with for the wide scale deployment of anomaly-based intrusion detectors, with special emphasis on assessment issues.
机译:互联网和计算机网络面临越来越多的安全威胁。随着新型攻击的不断出现,开发灵活且适应性强的面向安全的方法已成为严峻的挑战。在这种情况下,基于异常的网络入侵检测技术是保护目标系统和网络免受恶意活动侵害的宝贵技术。然而,尽管近年来文献中描述了这种方法的多样性,但是包含异常检测功能的安全工具才刚刚开始出现,并且一些重要的问题仍有待解决。本文首先回顾最著名的基于异常的入侵检测技术。然后,介绍了该地区可用的平台,正在开发的系统和研究项目。最后,我们概述了大规模部署基于异常的入侵检测器要解决的主要挑战,并特别强调评估问题。

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