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  • 标题:An Enhanced Method for Spam Filtering Based on Basiyan Classifier
  • 本地全文:下载
  • 作者:Krutika Rani Sahu
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:4
  • 页码:5861-5864
  • 出版社:TechScience Publications
  • 摘要:Phishing is an emerging type of social engineering crime on to the Web. Most phishes initiate attacks sending by emails to potential victims. The rapid development and evolution of phishing techniques pose a big challenge in Web identity security for researchers over all phishing attacks spoof users from the visual level and semantic level, and then make the appearances of web pages look similar to the real ones and make the web links and web page contents semantically related to the real ones. When emails lure users to access fake websites or unusualness website and induce them to expose sensitive and our private information In the Visual Assessment Approach, we detect phishing attacks using visual features of web pages. Study in demonstrated that visual assessment based detection is successful, but it fails in advanced phishing attacks This implies that unlike with other spam-filters, normal, personal, e-mail messages cannot be characterized as spam, since they do not confirm any of the two imperative rules. Also, newsletters confirm to only one of these two rules, thereby making it possible for newsletters to pass the filter as well, while all spam is flagged as being spam. This way Spam- Grid protects your system from unwanted e-mails while making sure the messages you do want arrive at their correct destination.
  • 关键词:Content based spam filtering; phishing Detection and;prevention; Bayesian classifiers; neural network
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