Bulletin of Electrical Engineering and Informatics
Vol 8, No 4: December 2019

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

John Arthur Jupin (Universiti Malaysia Pahang)
Tole Sutikno (Universitas Ahmad Dahlan)
Mohd Arfian Ismail (Universiti Malaysia Pahang)
Mohd Saberi Mohamad (Universiti Malaysia Kelantan)
Shahreen Kasim (Universiti Tun Hussein Onn Malaysia)
Deris Stiawan (Universitas Sriwijaya)



Article Info

Publish Date
01 Dec 2019

Abstract

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 to social media accounts. However, in widely using this computer network, the privacy of computer users is in danger, especially for computer users who do not install security systems in their computer. This problem will allow hackers to hack and commit network attacks. This is very dangerous, especially for Internet users because hackers can steal confidential information such as bank login account or social media login account. The attacks that can be made include phishing attacks. The goal of this study is to review the types of phishing attacks and current methods used in preventing them. Based on the literature, the machine learning method is widely used to prevent phishing attacks. There are several algorithms that can be used in the machine learning method to prevent these attacks. This study focused on an algorithm that was thoroughly made and the methods in implementing this algorithm are discussed in detail.

Copyrights © 2019






Journal Info

Abbrev

EEI

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering Engineering

Description

Bulletin of Electrical Engineering and Informatics ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication, computer engineering, computer science, information technology and informatics from the global ...