Phishing websites detection using a novel multipurpose dataset and web technologies features

作者：

Highlights：

• Using legitimate homepage websites foster false positives during login classification.

• Proposed web technology features improve phishing detection accuracy.

• Legitimate login websites ensure generalization in practical scenarios.

• PILWD-134K: A publicly available dataset for phishing detection benchmarking.

摘要

•Using legitimate homepage websites foster false positives during login classification.•Proposed web technology features improve phishing detection accuracy.•Legitimate login websites ensure generalization in practical scenarios.•PILWD-134K: A publicly available dataset for phishing detection benchmarking.

论文关键词：Phishing detection,Phishing dataset,Web technologies,Machine learning,Login

论文评审过程：Received 25 October 2021, Revised 15 June 2022, Accepted 27 June 2022, Available online 30 June 2022, Version of Record 8 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118010