Towards Text-based Phishing Detection
This work addresses phishing detection for email security, but it is incremental as it builds on existing methods with minor improvements.
The paper tackled phishing email detection by developing a modified algorithm using text-based methods without semantics, achieving considerably better recognition rates than prior work but with a slightly higher false positive rate.
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.