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- posterMay 2024
The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs
SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied ComputingPages 1064–1066https://doi.org/10.1145/3605098.3636164Cyber attacks continue to pose significant threats to individuals and organizations, stealing sensitive data such as personally identifiable information, financial information, and login credentials. Hence, detecting malicious websites before they cause ...
- research-articleAugust 2021
Advanced evasion attacks and mitigations on practical ML‐based phishing website classifiers
International Journal of Intelligent Systems (IJIS), Volume 36, Issue 9Pages 5210–5240https://doi.org/10.1002/int.22510AbstractMachine learning (ML) based classifiers are vulnerable to evasion attacks, as shown by recent attacks. However, there is a lack of systematic study of evasion attacks on ML‐based anti‐phishing detection. In this study, we show that evasion ...