NoFish; Total Anti-Phishing Protection System

Authors

  • R.A.H.Devdunie Pabasara

  • Dhanushka Niroshan Atimorathanna

  • Tharindu Shehan Ranaweera

  • Jayani Rukshila Perera

Keywords:

cyber-attack, anti-phishing, information security, machine learning,

Abstract

Phishing attacks have been identified by researchers as one of the major cyber-attack vectors which the general public has to face today. Although software companies launch new anti-phishing products, these products cannot prevent all the phishing attacks. The proposed solution, 201C;No Fish201D; is a total anti-phishing protection system created especially for end-users as well as for organizations. In this paper, a realtime anti-phishing system, which has been implemented using four main phishing detection mechanisms, is proposed. The system has the following distinguishing properties from related studies in the literature: language independence, use of a considerable amount of phishing and legitimate data,

How to Cite

R.A.H.Devdunie Pabasara, Dhanushka Niroshan Atimorathanna, Tharindu Shehan Ranaweera, & Jayani Rukshila Perera. (2020). NoFish; Total Anti-Phishing Protection System. Global Journal of Computer Science and Technology, 20(E3), 77–83. Retrieved from https://computerresearch.org/index.php/computer/article/view/1984

NoFish; Total Anti-Phishing Protection System

Published

2020-07-15