Detecting Social Engineering Attacks Using NLP

This project proposes an NLP-based system to detect manipulation attempts in digital communications, such as emails and messages. The system uses machine learning techniques to identify linguistic patterns associated with deceptive content. This work was conducted at Arab International University (AIU), Syria. The official website is: https://www.aiu.edu.sy

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-11
DOI
https://doi.org/10.5281/zenodo.19503026
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Detecting Social Engineering Attacks Using NLP

Tarek Barhoum, Abd Alwahab Maroof
Zenodo (CERN European Organization for Nuclear Research)
Spam and Phishing Detection
article

Detecting Social Engineering Attacks Using NLP

Tarek Barhoum, Abd Alwahab Maroof
article en

Abstract

This project proposes an NLP-based system to detect manipulation attempts in digital communications, such as emails and messages. The system uses machine learning techniques to identify linguistic patterns associated with deceptive content. This work was conducted at Arab International University (AIU), Syria. The official website is: https://www.aiu.edu.sy

Zenodo (CERN European Organization for Nuclear Research)
Arab International University (SY)
Quality Education
Openalex Percentile: Top 19%
Spam and Phishing Detection
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Detecting Social Engineering Attacks Using NLP — Tarek Barhoum, Abd Alwahab Maroof · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS