文章基本信息

标题：A LIGHTWEIGHT WIRELESS INTRUSION DETECTION SYSTEM FOR IEEE 802.11 BASED WIRELESS SENSOR NETWORK
本地全文：下载
作者：Siva Balaji Yadav C ; R Seshadri ; PhD 等
期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2017
卷号：8
期号：3
页码：363-374
出版社：Engg Journals Publications
摘要：Heterogeneous Wireless Sensor Network with IEEE 802.11 as communication medium possess various risksand threats in the cyber space. Increased level of pervasive devices and open access to the sensor leads the threatto pitfall the performance of the system and network as well. Existing security solutions such as authenticationkeys, built-in MAC filtering can help the network to prevent against layer 2 attacks. However, the non logicalpayload based attack such as Distributed Denial of Service (DDoS) is still possible to perform against theexisting security solutions. Hence in this paper a novel light weight Intrusion Detection System (LWIDS) isproposed. The key idea of the proposed LWIDS is to use the fuzzy rules based decision tree classifier to train,test and classify the wireless traffic. In contrast to previous research in this area that generally has investigatedknown wireless attacks, this paper actively considers the outfitted features of the IEEE 802.11 and presents acomplete solution to deal with not only known attacks but also unknown attacks.
关键词：DDoS; IEEE 802.11 WSN; IoT; IDS; LWIDS; NFC; Wireless networks; Wireless Security; Fuzzy;logic; Fuzzy controller; Fuzzy rules.