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

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...

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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/ http://umpir.ump.edu.my/id/eprint/26794/ http://umpir.ump.edu.my/id/eprint/26794/ http://umpir.ump.edu.my/id/eprint/26794/1/Review%20of%20the%20machine%20learning%20methods%20in%20the%20classification%20.pdf

id	ump-26794
recordtype	eprints
spelling	ump-267942020-03-12T09:12:36Z http://umpir.ump.edu.my/id/eprint/26794/ Review of the machine learning methods in the classification of phishing attack Jupin, John Arthur Sutikno, Tole Mohd Arfian, Ismail Mohd Saberi, Mohamad Shahreen, Kasim Deris, Stiawan HE Transportation and Communications QA76 Computer software TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering 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. IAES 2019 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26794/1/Review%20of%20the%20machine%20learning%20methods%20in%20the%20classification%20.pdf Jupin, John Arthur and Sutikno, Tole and Mohd Arfian, Ismail and Mohd Saberi, Mohamad and Shahreen, Kasim and Deris, Stiawan (2019) Review of the machine learning methods in the classification of phishing attack. Bulletin of Electrical Engineering and Informatics, 8 (4). pp. 1545-1555. ISSN 2089-3191 (Print); 2302-9285 (Online) https://doi.org/10.11591/eei.v8i4.1344 https://doi.org/10.11591/eei.v8i4.1344
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	HE Transportation and Communications QA76 Computer software TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	HE Transportation and Communications QA76 Computer software TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Jupin, John Arthur Sutikno, Tole Mohd Arfian, Ismail Mohd Saberi, Mohamad Shahreen, Kasim Deris, Stiawan Review of the machine learning methods in the classification of phishing attack
description	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.
format	Article
author	Jupin, John Arthur Sutikno, Tole Mohd Arfian, Ismail Mohd Saberi, Mohamad Shahreen, Kasim Deris, Stiawan
author_facet	Jupin, John Arthur Sutikno, Tole Mohd Arfian, Ismail Mohd Saberi, Mohamad Shahreen, Kasim Deris, Stiawan
author_sort	Jupin, John Arthur
title	Review of the machine learning methods in the classification of phishing attack
title_short	Review of the machine learning methods in the classification of phishing attack
title_full	Review of the machine learning methods in the classification of phishing attack
title_fullStr	Review of the machine learning methods in the classification of phishing attack
title_full_unstemmed	Review of the machine learning methods in the classification of phishing attack
title_sort	review of the machine learning methods in the classification of phishing attack
publisher	IAES
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/26794/ http://umpir.ump.edu.my/id/eprint/26794/ http://umpir.ump.edu.my/id/eprint/26794/ http://umpir.ump.edu.my/id/eprint/26794/1/Review%20of%20the%20machine%20learning%20methods%20in%20the%20classification%20.pdf
first_indexed	2023-09-18T22:41:56Z
last_indexed	2023-09-18T22:41:56Z
_version_	1777416973282443264

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

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