文章基本信息

标题：Detecting Cyber Crime by Analyzing Users Data
本地全文：下载
作者：Sheveta Vashisht ; Manveer kaur ; Richa Sapra 等
期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2012
卷号：3
期号：3
页码：1029-1033
出版社：Technopark Publications
摘要：There has been an increase in the number of attacks on computer system and networks. Along with the rapid popularity of the internet, cyber crime rate also got rapidly high. Indeed banks, corporations, insurance companies, casinos etc. are increasingly mining data about their employees in view of detecting cyber crime. The critical infrastructures upon which our communities, states and nation rely are increasing dependent on computer systems and networks and are thus also increasingly vulnerable to cyber attacks on them. The main objective of this paper is to construct an efficient cyber crime detection system which is adaptive to the behavior changes of the user and the data. This paper presents a security application which is a two stage cyber crime detection system and not only detect the cyber crime but also reduce the false alarm rate
关键词：Decision tree; Cyber Crime; Bootstrapping; Clustering; Classification