Review of the machine learning methods in the classification of phishing attack

• Main Authors: Jupin, John Arthur, Sutikno, Tole, Mohd Arfian, Ismail, Mohd Saberi, Mohamad, Shahreen, Kasim, Deris, Stiawan
• Format: Article
• Language: English
• Published: IAES 2019
• Subjects: HE Transportation and Communications; QA76 Computer software; TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/26794/1/Review%20of%20the%20machine%20learning%20methods%20in%20the%20classification%20.pdf; http://umpir.ump.edu.my/id/eprint/26794/; https://doi.org/10.11591/eei.v8i4.1344; https://doi.org/10.11591/eei.v8i4.1344

The development of computer networks today has increased rapidly. This can be seen based on the trend of computer users around the world, whereby they need to connect their computer to the Internet. This shows that the use of Internet networks is very important, whether for work purposes or access t...