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  • 标题:Adaptive Algorithm for Cyber Crime Detection
  • 本地全文:下载
  • 作者:Manveer Kaur ; Sheveta Vashisht ; Kumar Saurabh
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2012
  • 卷号:3
  • 期号:3
  • 页码:4381-4384
  • 出版社:TechScience Publications
  • 摘要:The technology changes so fast, but is security catching up? Will security ever drew level? The speed at which technology is moving has left massive gaps in safety. Along with the rapid popularity of the internet, cyber crime rate also got rapidly high. With the rapid development of the internet, the network structure has becomes larger and more complicated and attacking methods are more sophisticated as well. Cyber security is the major concern of every organization. Indeed banks, corporations, insurance companies, casinos etc are increasingly mining data about their employees in view of detecting cyber crime. The main objective of this paper is to construct an efficient cyber crime detection system which is adaptive to the behavior changes by combining the data mining techniques. The proposed system is a two stage cyber crime detection system which is based on the analysis of the user data in first stage and in second stage detects the false alarm.
  • 关键词:C4.5; Decision tree; bootstrapping; clustering;classification; bootstrapping.
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