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Detecting Social Engineering Attacks Using NLP | Synapse

April 12, 2026Open Access

Detecting Social Engineering Attacks Using NLP

Key Points

The project aims to develop a system that detects social engineering attacks by analyzing language in digital messages.
Developed a natural language processing system
Utilized machine learning techniques
Analyzed linguistic patterns in emails and messages
Successfully identified patterns associated with deception
Demonstrated effectiveness in detecting manipulative communication techniques

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

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Cite This Study

Barhoum et al. (Sat,) studied this question.

synapsesocial.com/papers/69db37774fe01fead37c5878 https://doi.org/https://doi.org/10.5281/zenodo.19503026