August 7, 2023Open Access

Enhanced Malicious Url Detection System With Machine Learning Algorithms

MBMrs. Bessy Mrs. BessyUniversity College for Women

Key Points

Key points are not available for this paper at this time.

Abstract

Currently, the risk of network information insecurity is increasing rapidly in number and level of danger. The methods mostly used by hackers today is to attack end-to end technology and exploit human vulnerabilities. These techniques include social engineering, phishing, pharming, etc.

Ask AI

Helpful

Bookmark

View Full Paper

Cite This Study

Mrs. Bessy Mrs. Bessy (Mon,) studied this question.

synapsesocial.com/papers/6a1b6982376b1af6e80c4dc1 https://doi.org/https://doi.org/10.46243/jst.2023.v8.i06.pp39-44

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1An Empirical Analysis of Phishing Blacklists2018 · 340 citations
2Identification of Malicious Web Pages with Static Heuristics2008 · 106 citations
3Phishing Detection: A Literature Survey2013 · 586 citations
4BINSPECT: Holistic Analysis and Detection of Malicious Web Pages2013 · 92 citations
5Malicious URL Detection using Machine Learning: A Survey2017 · 277 citations

Ask AI

Helpful

Bookmark

View Full Paper