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
5How Attackers Can Steal and Manipulate Brainwave Signals
A. Samson Arun Raj1*, Abhishek Singh Rathore2, Juber Mirza3, Ankita Chourasia4 and Abhishek Sharma3
1Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Karunya Nagar, Coimbatore, Tamil Nadu, India
2Department of AI and DS, SVIIT, Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, India
3Department of CSE, Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, India
4Department of CSE, Medicaps University, Indore, India
Abstract
The rising integration of brain–computer interface (BCI) systems in healthcare, entertainment, and neuro-research has opened new attack surfaces, especially for cybercriminals targeting brainwave data. This study explores the risks and methodologies through which attackers can steal and manipulate brainwave signals using advanced signal interception and adversarial manipulation techniques. Utilizing the electroencephalography (EEG) motor movement/imagery dataset (PhysioNet, 2022), we propose an advanced model—NeuroAdversarial Signal Exploitation and Manipulation (NASEM)—that detects vulnerabilities in brainwave transmissions. We implement adaptive EEG signal injection and dynamic frequency tampering techniques for signal manipulation. Our method achieved a signal alteration success rate of 94.8% and a data extraction accuracy of 96.3% with an average stealth score of 0.89 (scale: 0–1) under black-box adversarial conditions. These results indicate a significant ...
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