Cognitive Cyber Crimes in the Era of Artificial Intelligence

13AI-Powered Mind-Reading and Neural Exploitation Techniques

Hitesh Rawat¹*, Anjali Rawat¹, Romil Rawat² and Anand Rajavat³

¹Computer Science Department, Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, India

²Department of Computer Science and Engineering, SVVV, Indore, India

³Department of Computer Science Engineering, Shri Vaishnav Institute of Information Technology, Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, India

Abstract

This research explores the convergence of artificial intelligence (AI) and neural signal processing in the domain of mind-reading and neural exploitation, a critical frontier in neurocybersecurity. Using the TUH EEG Corpus Dataset, this study uses a novel NeuroInferNet technique—an advanced transformer-based neural decoder integrated with attention-weighted graph convolutional networks—to decode cognitive states and exploit neural vulnerabilities. NeuroInferNet demonstrates its efficacy in identifying and interpreting complex electroencephalography signals associated with visual imagery and internal dialogue with an accuracy of 98.72%, precision of 98.10%, and a neural exploitation rate metric of 0.91. Results are benchmarked across cognitive categories including memory recall, abstract reasoning, and perceptual processing. This work highlights the dual potential of such models for both therapeutic decoding and cybercriminal misuse, offering insights into secure brain–computer interface designs and ethical AI governance.

Keywords: EEG decoding, ...