基于签名检测和计划识别的智能WLAN入侵防御系统

Guanlin Chen, Hui Yao, Zebing Wang
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引用次数: 26

摘要

随着无线通信技术的飞速发展,无线局域网入侵防御系统成为近年来研究的热点之一。本文从介绍入侵防御系统和无线局域网面临的安全威胁入手,提出了基于智能计划识别引擎的无线入侵防御系统框架,重点阐述了签名检测规则的扩展描述和计划识别过程。通过利用设备信息和被监控的WLAN上发生的攻击计划,该引擎可以预测未来的动作并指导对这些动作的主动响应。提出了一种改进的计划识别模型。实验结果表明,该引擎既能检测和阻止主要的无线攻击,又能减少误报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Intelligent WLAN Intrusion Prevention System Based on Signature Detection and Plan Recognition
WLAN intrusion prevention systems have recently become one of the research hotspots with the rapid development of wireless communication. This paper starts from the introduction of intrusion prevention system and security threats to WLAN, puts forward the framework of the wireless IPS with an intelligent plan recognition engine, especially illustrates the expanding description of signature detection rules and the process of plan recognition. By utilizing device information and happened attack plans on monitored WLAN, this engine can predict the future actions and direct active responses to these actions. We present an improved model for conducting plan recognition. Experimental results showed that this engine can not only detect and prevent the main wireless attacks but also decrease false positives.
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