A malicious URLs detection system using optimization and machine learning classifiers

A malicious URLs detection system using optimization and machine learning classifiers

The openness of the World Wide Web (Web) has become more exposed to cyber-attacks. An attacker performs the cyber-attacks on Web using malware Uniform Resource Locators (URLs) since it widely used by internet users. Therefore, a significant approach is required to detect malicious URLs and identify...

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Bibliographic Details
Main Authors: Lee, Ong Vienna, Heryanto, Ahmad, Mohd Faizal, Ab Razak, Anis Farihan, Mat Raffei, Eh Phon, Danakorn Nincarean, Shahreen, Kasim, Sutikno, Tole
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2020
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/40105/
http://umpir.ump.edu.my/id/eprint/40105/1/A%20malicious%20URLs%20detection%20system%20using%20optimization%20and%20machine.pdf

Internet

http://umpir.ump.edu.my/id/eprint/40105/
http://umpir.ump.edu.my/id/eprint/40105/1/A%20malicious%20URLs%20detection%20system%20using%20optimization%20and%20machine.pdf

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