An Analysis Employing Various Machine Learning Algorithms for Detection of Malicious URLs

Author:

Rizvi Fizza,Mohi ud din Saika,Sharma Nonita,Sharma Deepak Kumar

Publisher

Springer Nature Switzerland

Reference15 articles.

1. Janet, B., Kumar, R.J.A.: Malicious URL detection: a comparative study. In: 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS), pp. 1147–1151. IEEE, March 2021

2. Sahoo, D., Liu, C., Hoi, S.C.: Malicious URL detection using machine learning: a survey (2017). arXiv preprint arXiv:1701.07179

3. Khan, F., Ahamed, J., Kadry, S., Ramasamy, L.K.: Detecting malicious URLs using binary classification through ada boost algorithm. Int. J. Electr. Comput. Eng. 10(1), 2088–8708 (2020)

4. Lekshmi, R.A., Thomas, S.: Detecting malicious URLs using machine learning techniques: a comparative literature review. Int. Res. J. Eng. Technol. (IRJET) 6(06) (2019)

5. Hoa Do Xuan, C., Nguyen, H.D., Tisenko, V.N.: Malicious URL detection based on machine learning. Int. J. Adv. Comput. Sci. Appl. 11(1) (2020)

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