文章基本信息

标题：IMPROVED INTRUSION DETECTION SYSTEM TO DETECT SYBILL ATTACK USING HYBRID KNN AND EIUCLIDEAN DISTANCE APPROACH IN WIRELESS SENSOR NETWORK
本地全文：下载
作者：Dr. Sandeep singh kang ; Amandeep kaur
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2017
卷号：6
期号：7
页码：1022-1033
出版社：Shri Pannalal Research Institute of Technolgy
摘要：One of the important issues in network security is Intrusion Detection System (IDS). The intrusion detection system is the one in which the detection of malicious attacks that are known or unknown can be done. One of the intrusions is Sybil attack in which a sender node send data to another node but it is received by some another malicious node that may be not original user. In this paper, we use the KNN algorithm to find the location of Sybil node in the network and Euclidean distance algorithm to find the distance between them. This will result in identifying the nearest Sybil node so that we can prevent from sending data to malicious node. Result in terms of time consumption for proposed approach is better as compared to existing approach without Euclidean distance approach.
关键词：KNN; Euclidean Distance; IDS; Malicious Node.