This paper reports on an experiment into text-based phishing detection using readily available resources and without the use of semantics. The developed algorithm is a modified version of previously published work that works with the same tools. The results obtained in recognizing phishing emails are considerably better than the previously reported work; but the rate of text falsely identified as phishing is slightly worse. It is expected that adding semantic component will reduce the false positive rate while preserving the detection accuracy.
@article{arxiv.2111.01676,
title = {Towards Text-based Phishing Detection},
author = {Gilchan Park and Julia M. Taylor},
journal= {arXiv preprint arXiv:2111.01676},
year = {2021}
}
Comments
Society for Design and Process Science (SDPS) 2013, pp.187-192. https://www.sdpsnet.org/sdps/documents/sdps-2013/SDPS_2013_proceedings.pdf