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  • 标题:Analysis of The Fraud E-Mails using Truncated Gaussian Mixture Model and Ontological Application
  • 本地全文:下载
  • 作者:Sreenivasulu. V ; Satya Prasad. R
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:3
  • 页码:2534-2536
  • 出版社:TechScience Publications
  • 摘要:The advancement in the area of communication has facilitated to store huge information. At the same time these developments have given equal opportunity for the construction and destruction. Among the destructive activities that arose of late or mostly based on IT related internet developments which enforced to expand the criminal activities across the globe using email as the media. Therefore, to uphold these evils, a methodology is proposed in this paper together with data mining techniques based on mixture model. The performance evaluation is carried out using evaluation metrics like False Acceptance Ratio (FAR) and False Rejection Ratio (FRR).
  • 关键词:Cyber Crime; E-Mail Forensics; Data Mining;Internet Technologies; Mixture Models
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