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  • 标题:Visualization of Data for Host-Based Anomalous Behavior Detection in Computer Forensics Analysis Using Self Organizing Map
  • 本地全文:下载
  • 作者:Sushil Kumar Chavhan ; Smita M. Nirkhi ; Dr. R.V. Dharaskar
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2013
  • 卷号:4
  • 期号:2
  • 页码:365-369
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:With the rapidly increasing complexity of computer systems and various media devices and the insufficient attack analysis techniques there is need of improvement of computer forensics analysis techniques. Although many of forensics tools and techniques help in analysis process till forensics analysis process become difficult problem. Here we present an anomalous behavior detection system using self organizing map. Using that system we handle the large volume of data efficiently. Self organizing map has high potential to map high dimensional data also it preserves the topology of data. This technique involves assigning particular values to same data and analyzed visualized pattern with the help of self organizing map. We present result based on implemented system which help to improve investigation.
  • 关键词:Computer Forensics;Data Mining;Self Organizing Map; Visualization
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