Cognitive Cyber Crimes in the Era of Artificial Intelligence
by Rajesh Kumar Chakrawarti, Romil Rawat, Kriti Bhaswar Singh, A. Samson Arun Raj, Abhishek Singh, Hitesh Rawat, Anjali Rawat
23Cognitive Cyber Crimes in the AI Era: Unraveling Digital Deception through Intelligent Data Analytics
Ashish Dibouliya
Department of Computer Science and Applications, Rabindranath Tagore University, Bhopal (M.P.), India
Abstract
The rapid evolution of artificial intelligence has amplified the scale and sophistication of cognitive cybercrimes, where psychological manipulation and digital deception converge to exploit human vulnerabilities. This study presents an intelligent data analytics framework for detecting and classifying cognitive cyberthreats using the CSAW–Misinformation and Deception Dataset (CSAW-MDD), containing 1.2 million labeled text, audio, and image instances spanning phishing, deepfake propaganda, and artificial intelligence (AI)–generated misinformation. The proposed approach, Neuro-Semantic Graph Fusion Network (NSGFN), integrates semantic embeddings with graph-based behavioral profiling to capture both linguistic deception patterns and relational attack structures. Experimental evaluation demonstrates that NSGFN achieves an accuracy of 97.84%, macro-F1 score of 96.92%, and a Deceptive Context Retention Index of 94.13%, outperforming state-of-the-art baselines by up to 5.7% in misinformation detection and 6.2% in phishing classification. Additionally, a novel Cognitive Manipulation Susceptibility Score (CMSS) metric is introduced to quantify the psychological impact potential of malicious content, yielding a mean CMSS deviation of only ±2.1 from expert ...
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