Facilitating Secure Web Browsing by Utilizing Supervised Filtration of Malicious URLs
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6586-1_31
Reference20 articles.
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3. Al-Fayoumi M, Elayyan A, Odeh A, Al-Haija QA Tor network traffic classification using machine learning based on time-related feature. In: IET conference proceedings, pp 92–97. https://doi.org/10.1049/icp.2023.0354
4. Korkmaz M, Sahingoz OK, Diri B (2020) Detection of phishing websites by using Machine Learning-based URL analysis. In: 2020 11th international conference on computing, communication, and networking technologies (ICCCNT). https://doi.org/10.1109/icccnt49239.2020.922556
5. Geyik B, Erensoy K, Kocyigit E (2021) Detection of phishing websites from URLs by using classification techniques on Weka. In: 2021 6th international conference on invenwhich computation tmitigatingies (ICICT). https://doi.org/10.1109/icict50816.2021.9358642
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