scholarly journals COMPARATIVE STUDY OF MACHINE LEARNING ALGORITHMS FOR PHISHING WEBSITE DETECTION

Author(s):  
Anuraag Velamati

Phishing is the most commonly approached cyber-attack in this modern era. Through such attacks, the phisher will target the innocent users by tricking them into revealing their secure and personal information, with the purpose of using it fraudulently. In order to avoid getting phished, users should have awareness of phishing websites, have a blacklist of phishing websites which requires the knowledge of website being detected as phishing.

2019 ◽  
Vol 6 (4) ◽  
pp. 12
Author(s):  
ABUBAKAR UMAR ◽  
A. BASHIR SULAIMON ◽  
BASHIR ABDULLAHI MUHAMMAD ◽  
S. ADEBAYO OLAWALE ◽  
◽  
...  

Author(s):  
Wan Adlina Husna Wan Azizan ◽  
A'zraa Afhzan Ab Rahim ◽  
Siti Lailatul Mohd Hassan ◽  
Ili Shairah Abdul Halim ◽  
Noor Ezan Abdullah

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