Pith. sign in

REVIEW

Towards Text-based Phishing Detection

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2111.01676 v2 pith:HBYP5EPA submitted 2021-11-02 cs.CL

classification cs.CL
keywords phishingdetectionpreviouslyratetext-basedworkaccuracyadding
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

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.

Discussion (0). Continue with ORCID to comment.

Pith tools