# Using Syntactic Features for Phishing Detection

arXiv: https://arxiv.org/abs/1506.00037 · HTML: https://mlsanity.com/paper/1506.00037/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 29 May 2015.

## Built on by (most cited first, 1 of 1)

- [Anomaly Detection in Emails using Machine Learning and Header Information](https://mlsanity.com/paper/2203.10408/) (2022)

## Abstract (arXiv)

This paper reports on the comparison of the subject and object of verbs in their usage between phishing emails and legitimate emails. The purpose of this research is to explore whether the syntactic structures and subjects and objects of verbs can be distinguishable features for phishing detection. To achieve the objective, we have conducted two series of experiments: the syntactic similarity for sentences, and the subject and object of verb comparison. The results of the experiments indicated that both features can be used for some verbs, but more work has to be done for others.
