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  • 标题:A Survey on Image Spam Detection Techniques
  • 本地全文:下载
  • 作者:Shadi Khawandi ; Firas Abdallah ; Anis Ismail
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2019
  • 卷号:9
  • 期号:1
  • 页码:1-14
  • DOI:10.5121/csit.2019.90102
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Today very important means of communication is the e-mail that allows people all over the world to communicate, share data, and perform business. Yet there is nothing worse than an inbox full of spam; i.e., information crafted to be delivered to a large number of recipients against their wishes. In this paper, we present a numerous anti-spam methods and solutions that have been proposed and deployed, but they are not effective because most mail servers rely on blacklists and rules engine leaving a big part on the user to identify the spam, while others rely on filters that might carry high false positive rate.
  • 关键词:E;mail; Spam; anti;spam; mail server; filter;
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