Cognitive Cyber Crimes in the Era of Artificial Intelligence

12Role of AI-Enhanced Cryptographic Techniques in Protecting Cognition

Vivek Bhardwaj¹*, Balwinder Kaur Dhaliwal², Jeyaganesh Viswanathan³ and Davinder Singh Gill⁴

¹Amity School of Engineering & Technology, Amity University Punjab, Mohali, Punjab, India

²School of Computer Science and Engineering, Lovely Professional University, Phagwara, India

³Zoetis, New Jersey, USA

⁴Department of Computer Application, Chandigarh School of Business, Chandigarh Group of Colleges Jhanjeri, Mohali, Punjab, India

Abstract

Cognitive data, including neural signals and brainwave patterns, are increasingly vulnerable to cyberattacks, especially with the rise of brain–computer interfaces. This research explores the integration of artificial intelligence–enhanced cryptographic techniques to secure cognitive data against unauthorized access and manipulation. Utilizing the EEG-Security-2023 dataset, which includes over 1000 sessions of anonymized electroencephalographic signals collected under diverse conditions (resting, stimulus response, and motor imagery tasks), we implemented a hybrid cryptographic framework combining homomorphic encryption (HE) with a transformer-based anomaly detection model (NeuroShield). Our approach demonstrated a 92.6% accuracy in real-time threat detection and a 17.4% improvement in encryption-decryption speed over traditional RSA-based systems, while maintaining data fidelity with a signal reconstruction loss of 0.034. The framework provides robust, scalable, and privacy-preserving ...