I Don’t Need an Expert! Making URL Phishing Features Human Comprehensible

Author:

Althobaiti Kholoud1,Meng Nicole2,Vaniea Kami2

Affiliation:

1. University of Edinburgh, Edinburgh, UK and Taif University, Taif, Saudí Arabia

2. School of Informatics University of Edinburgh, United Kingdom

Funder

The UKRI Centre for Doctoral Training in Natural Language Processing

Publisher

ACM

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Phishing Detection: A Novel Hybrid Deep Learning Framework for Cybercrime Forensics;IEEE Access;2024

2. Detecting Phishing URLs using the BERT Transformer Model;2023 IEEE International Conference on Big Data (BigData);2023-12-15

3. Unraveling Threat Intelligence Through the Lens of Malicious URL Campaigns;Proceedings of the 18th Asian Internet Engineering Conference;2023-12-12

4. Personalized Guidelines for Design, Implementation and Evaluation of Anti-Phishing Interventions;2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM);2023-10-26

5. “It may take ages”: Understanding Human-Centred Lateral Phishing Attack Detection in Organisations;Proceedings of the 2023 European Symposium on Usable Security;2023-10-16

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