Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference162 articles.
1. Multi-label rules for phishing classification;Abdelhamid;Applied Computing and Informatics,2015
2. Phishing detection based associative classification data mining;Abdelhamid;Expert Systems with Applications,2014
3. Abroshan, H., Devos, J., Poels, G., & Laermans, E. (2021). A phishing mitigation solution using human behaviour and emotions that influence the success of phishing attacks. In Adjunct proceedings of the 29th ACM conference on user modeling, adaptation and personalization (pp. 345–350).
4. Intelligent phishing detection system for e-banking using fuzzy data mining;Aburrous;Expert Systems with Applications,2010
5. PDGAN: Phishing detection with generative adversarial networks;Al-Ahmadi;IEEE Access,2022
Cited by
5 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. The types of hackers and cyberattacks in the aviation industry;Journal of Transportation Security;2024-08-28
2. Detection of QR Code-based Cyberattacks using a Lightweight Deep Learning Model;Engineering, Technology & Applied Science Research;2024-08-02
3. Phishing Attacks among Internet Banking Users in Nigeria: An Exploration of Remedial Strategies;International Journal of Latest Technology in Engineering Management & Applied Science;2024-06-11
4. APFormer: Anti-Phishing Transformer for Website-Phishing Detection Via Joint Feature Learning;2024 International Conference on Engineering & Computing Technologies (ICECT);2024-05-23
5. XAI-based Feature Selection for SMS Spam Classification in Dravidian Languages;2024 5th International Conference on Innovative Trends in Information Technology (ICITIIT);2024-03-15