CSE-ARS: Deep Learning-Based Late Fusion of Multimodal Information for Chat-Based Social Engineering Attack Recognition

CSE-ARS: Deep Learning-Based Late Fusion of Multimodal Information for Chat-Based Social Engineering Attack Recognition

With the increasing prevalence of chat-based social engineering (CSE) attacks targeting unsuspecting users, the need for robust defenses has never been more critical. In this paper, we introduce Chat-based Social Engineering Attack Recognition System (CSE-ARS), an innovative and effective CSE defens...

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Bibliographische Detailangaben
Hauptverfasser: Nikolaos Tsinganos, Panagiotis Fouliras, Ioannis Mavridis, Dimitris Gritzalis
Format: Artikel
Sprache:English
Veröffentlicht: IEEE 2024-01-01
Schriftenreihe:IEEE Access
Schlagworte:
Corpus
cybersecurity
deep learning
natural language processing
social engineering
Online Zugang:https://ieeexplore.ieee.org/document/10415158/

Online

https://ieeexplore.ieee.org/document/10415158/

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