Web Based Malicious URL Detection Through Feature Selection (Special Characters) with Machine Learning
With the advancement of technology, we see a rise in the advancement of malicious software or malware attacks as well. People should have every right to never fall victim to any of these attacks. This research aims to implement a study of several Machine Learning Algorithms into a web-based malware....
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| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/40703/ http://umpir.ump.edu.my/id/eprint/40703/1/CA20014.pdf |
| _version_ | 1848826123345985536 |
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| author | Anwar Razlan, Rasali |
| author_facet | Anwar Razlan, Rasali |
| author_sort | Anwar Razlan, Rasali |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | With the advancement of technology, we see a rise in the advancement of malicious software or malware attacks as well. People should have every right to never fall victim to any of these attacks. This research aims to implement a study of several Machine Learning Algorithms into a web-based malware. This is made possible by feature extraction through a series of codes written in Python. These features will undergo a few specifications before being determined as malicious or benign. The feature extraction process would test output a value in accordance with the URL and determine whether the URL is malicious or otherwise. This research would hopefully be a line of defense to prevent users from coming across to a malware with the help of the proposed project. |
| first_indexed | 2025-11-15T03:39:49Z |
| format | Undergraduates Project Papers |
| id | ump-40703 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:39:49Z |
| publishDate | 2023 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-407032024-03-18T07:12:35Z http://umpir.ump.edu.my/id/eprint/40703/ Web Based Malicious URL Detection Through Feature Selection (Special Characters) with Machine Learning Anwar Razlan, Rasali QA75 Electronic computers. Computer science With the advancement of technology, we see a rise in the advancement of malicious software or malware attacks as well. People should have every right to never fall victim to any of these attacks. This research aims to implement a study of several Machine Learning Algorithms into a web-based malware. This is made possible by feature extraction through a series of codes written in Python. These features will undergo a few specifications before being determined as malicious or benign. The feature extraction process would test output a value in accordance with the URL and determine whether the URL is malicious or otherwise. This research would hopefully be a line of defense to prevent users from coming across to a malware with the help of the proposed project. 2023-07 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40703/1/CA20014.pdf Anwar Razlan, Rasali (2023) Web Based Malicious URL Detection Through Feature Selection (Special Characters) with Machine Learning. Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah. |
| spellingShingle | QA75 Electronic computers. Computer science Anwar Razlan, Rasali Web Based Malicious URL Detection Through Feature Selection (Special Characters) with Machine Learning |
| title | Web Based Malicious URL Detection Through Feature Selection (Special Characters) with Machine Learning |
| title_full | Web Based Malicious URL Detection Through Feature Selection (Special Characters) with Machine Learning |
| title_fullStr | Web Based Malicious URL Detection Through Feature Selection (Special Characters) with Machine Learning |
| title_full_unstemmed | Web Based Malicious URL Detection Through Feature Selection (Special Characters) with Machine Learning |
| title_short | Web Based Malicious URL Detection Through Feature Selection (Special Characters) with Machine Learning |
| title_sort | web based malicious url detection through feature selection (special characters) with machine learning |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/40703/ http://umpir.ump.edu.my/id/eprint/40703/1/CA20014.pdf |