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  • 标题:Detection of Violent E-mails Using Fuzzy Logic
  • 本地全文:下载
  • 作者:Victoria Oluwatoyin Oyekunle ; Prince Oghenekaro Asagba ; Fubara Egbono
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2021
  • 卷号:69
  • 期号:3
  • 页码:79-84
  • DOI:10.14445/22312803/IJCTT-V69I3P114
  • 出版社:Seventh Sense Research Group
  • 摘要:People all around the world spend billions of email messages daily, and the use of mobile email (email sent via a mobile device) is growing at an astounding rate. Despite its advantages, one of the biggest threats to an email today is Violent and phishing email. This research improves the detection and filtering of violent and phishing emails by implementing a fuzzy Logic detection model that classifies emails into classes’ violent, phishing and ham and then determines how harmful the classified emails are. Incoming emails were classified based on how well their features as compared with their rank values satisfied the stated fuzzy rules. From the results, output email classes and their corresponding degrees of threats were provided at high accuracy and improved speed from Moderate to High or Very High.
  • 关键词:E-mail; Fuzzy logic; Ham; Phishing; Violent E-mail; Artificial Intelligence
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