Comparative performance of machine learning methods for classification on phishing attack detection

• Main Authors: Siti Noranisah, Wan Ahmad, Mohd Arfian, Ismail, Edi, Sutoyo, Shahreen, Kasim, Mohd Saberi, Mohamad
• Format: Article
• Language: English
• Published: The World Academy of Research in Science and Engineering 2020
• Subjects: QA76 Computer software; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/30101/1/Comparative%20performance%20of%20machine%20learning%20methods%20for%20classification.pdf; http://umpir.ump.edu.my/id/eprint/30101/; https://doi.org/10.30534/ijatcse/2020/4991.52020; https://doi.org/10.30534/ijatcse/2020/4991.52020

The development of computer networks today has increased rapidly. This can be shown based on the trend of every computer user around the world, whereby they need to connect their computer to the Internet. This indicates that the use of Internet is very important, such as for the access to social med...