Detection of Violent E-mails Using Fuzzy Logic
  IJCTT-book-cover
 		          
 
© 2021 by IJCTT Journal
Volume-69 Issue-3
Year of Publication : 2021
Authors : Victoria Oluwatoyin Oyekunle, Prince Oghenekaro Asagba, Fubara Egbono
DOI :  10.14445/22312803/IJCTT-V69I3P114

How to Cite?

Victoria Oluwatoyin Oyekunle, Prince Oghenekaro Asagba, Fubara Egbono, "Detection of Violent E-mails Using Fuzzy Logic," International Journal of Computer Trends and Technology, vol. 69, no. 3, pp. 79-84, 2021. Crossref, 10.14445/22312803/IJCTT-V69I3P114

Abstract
People all around the world spend billions of e-mail messages daily, and the use of mobile e-mail (e-mail 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 e-mail. This research improves the detection and filtering of violent and phishing e-mails by implementing a fuzzy Logic detection model that classifies e-mails into classes’ violent, phishing and ham and then determines how harmful the classified e-mails are. Incoming e-mails were classified based on how well their features as compared with their rank values satisfied the stated fuzzy rules. From the results, output e-mail classes and their corresponding degrees of threats were provided at high accuracy and improved speed from Moderate to High or Very High.

Keywords
E-mail, Fuzzy logic, Ham, Phishing, Violent E-mail, Artificial Intelligence

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