Malicious URL Detection Using Machine Learning

Author:

Swarnkar Mayank,Sharma Neha,Kumar Thakkar Hiren

Publisher

Springer Nature Singapore

Reference40 articles.

1. https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RWMFIi?id=101738

2. Kim, D.: Potential risk analysis method for malware distribution networks. IEEE Access 7, 185157–185167 (2019)

3. Janet, B., Kumar, R.J.A., et al.: Malicious url detection: a comparative study. In: Proceedings of 2nd International Conference on Artificial Intelligence and Smart Systems (ICAIS’21), pp. 1147–1151 (2021)

4. OpenDNS, L.: Phishtank: An anti-phishing site (2016). https://www.phishtank.com

5. Garera, S., Provos, N., Chew, M., Rubin, A.D.: A framework for detection and measurement of phishing attacks. In: Proceedings of 14th ACM Workshop on Recurring Malcode (WORM ’07), pp. 1–8 (2007)

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