Leveraging Natural Language Processing for Detecting Social Engineering Attacks
Date:
In this talk, I introduced a novel approach to detecting social engineering attacks uniquely focuses on analyzing the natural language text within potential attacks, using semantic analysis to identify malicious intent. Unlike prior research that heavily relied on email metadata, our method is applicable across various communication platforms, including text and chat apps, as well as phone or in-person conversations converted to text. The effectiveness of our approach is demonstrated through extensive evaluation using a substantial benchmark set of phishing emails. You can find the relevant paper through this link.