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  • 标题:A survey on phishing detection and prevention technique
  • 本地全文:下载
  • 作者:Archit Shukla ; Lalit Gehlod
  • 期刊名称:International Journal of Engineering and Computer Science
  • 印刷版ISSN:2319-7242
  • 出版年度:2014
  • 卷号:3
  • 期号:5
  • 页码:6255-6259
  • 出版社:IJECS
  • 摘要:The first and greatest casualty of fraud is faith. According to [7] just over two-thirds (68%) of fraud victims say they are lesswilling to have faith on others after their fraud experience and 63% are less willing to make future investments. As far as, people withcriminal intentions are concerned, identity theft is a conventional idea. A con man in police uniform, not cause many victims to becomesuspicious and they will comply with whatever they are told. Similarly, phishing is a form of online identity theft that aims to stealsensitive information from users such as online banking passwords and credit card information. This paper focuses on the phishingattacks which includes study of different contributions of recent research on phishing detection and prevention techniques. In addition ofthat based on the review, a new model for detection and prevention of phishing attacks is given in this paper
  • 关键词:phishing; information thief; machine learning; XSS; prevention model
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