A comprehensive literature review on phishing URL detection using deep learning techniques

Author:

Kritika Er.1ORCID

Affiliation:

1. Independent Researcher, New Delhi, India

Funder

no funding associated

Publisher

Informa UK Limited

Reference48 articles.

1. Available from: https://www.getastra.com/blog/security-audit/cyber-crime-statistics

2. Gogoi B, Ahmed T, Dutta A. A hybrid approach combining blocklists, machine learning and deep learning for detection of malicious URLs. In: 2022 IEEE India Council International Subsections Conference (INDISCON); Bhubaneswar, India. IEEE. 2022 July. p. 1–6.

3. Choi H, Zhu BB, Lee H. Detecting malicious web links and identifying their attack types. In: 2nd USENIX Conference on Web Application Development (WebApps 11); Portland OR. 2011.

4. A Systematic Review on Deep-Learning-Based Phishing Email Detection

5. Phish phactors: offensive and defensive strategies;Berghel H;Adv Comput,2007

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