Open access Jurnal SINTA 1
Detecting malicious URLs using binary classification through adaboost algorithm
International Journal of Electrical and Computer Engineering (IJECE) · Vol. 10 No. 1 (2020)
- ISSN
- 2088-8708, 2088-8708
- Published
- 2020-02-01
- Publisher
- Institute of Advanced Engineering and Science
Abstract
Malicious Uniform Resource Locator (URL) is a frequent and severe menace to cybersecurity. Malicious URLs are used to extract unsolicited information and trick inexperienced end users as a sufferer of scams and create losses of billions of money each year. It is crucial to identify and appropriately respond to such URLs. Usually, this discovery is made by the practice and use of blacklists in the cyber world. However, blacklists cannot be exhaustive, and cannot recognize zero-day malicious URLs. So to increase the observation of malicious URL indicators, machine learning procedures should be incorporated. This study aims to discuss the exposure of malicious URLs as a binary classification problem using machine learning through an AdaBoost algorithm.
Collaboration network of the authors
27 authors · 75 co-authorship links · 39 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Vignan's Foundation for Science, Technology & Research
- Soonchunhyang University
- Higher Colleges of Technology
- Hindustan Institute of Technology and Science
- Al-Mustaqbal University
- Beirut Arab University
- University of Technology Malaysia
- Other organisations
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Yunyoung Nam | Soonchunhyang University | 10 |
| Maytham N. Meqdad | Al-Mustaqbal University | 8 |
| R. Lakshmana Kumar | Hindustan Institute of Technology and Science | 4 |
| A. Saravanan | Affiliation unknown | 2 |
| S. Sathya Bama | Affiliation unknown | 2 |
| Mohammed Zuhair Al-Taie | University of Technology Malaysia | 1 |
| Joel Pinho Lucas | Affiliation unknown | 1 |
| P. Chandana | Vignan's Foundation for Science, Technology & Research | 1 |
| G S Pradeep Ghantasala | Affiliation unknown | 1 |
| J. R. V. Jeny | Vignan's Foundation for Science, Technology & Research | 1 |
| Kaushik Sekaran | Vignan's Foundation for Science, Technology & Research | 1 |
| N. Deepika | Vignan's Foundation for Science, Technology & Research | 1 |
| Venkatesan Rajinikanth | St. Joseph’s College of Engineering | 1 |
| Jamin Koo | Soonchunhyang University | 1 |
| Byeong-Gwon Kang | Soonchunhyang University | 1 |
| Saif O. Husain | Iraqi University | 1 |
| Alyaa Mohammed Jawad | Al-Mustaqbal University | 1 |
| Ahlam R. Khekan | University of Information Technology and Communications | 1 |
| Ganesh Chandrasekaran | Sri Eshwar College of Engineering | 1 |
| M. Kalpana Chowdary | Affiliation unknown | 1 |
| Jyothi Chinna Babu | Affiliation unknown | 1 |
| Ajmeera Kiran | Affiliation unknown | 1 |
| Kotthuru Anil Kumar | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.