Cognitive Cyber Crimes in the Era of Artificial Intelligence

15Analyzing Neural Forensics Data in Criminal Investigations

Priya Matta¹*, Minit Arora², Sopan Talekar³, Priyanka Rastogi⁴ and Gagan Dangwal⁵

¹Department of Computer Applications, Tula’s Institute, Dehradun, Uttarakhand, India

²School of Engineering and Technology, SGRR University, Dehradun, Uttarakhand, India

³MVPS Karmaveer Adv. Baburao Ganpatrao Thakare College of Engineering, Nashik, India

⁴Dept of Computer Science and Engineering, School of Engineering, Manav Rachna International Institute of Research & Studies, Faridabad, India

⁵Graphic Era University, Dehradun, India

Abstract

The integration of neural forensics in criminal investigations offers a revolutionary approach to understanding cognitive behaviors associated with criminal intent. This study explores the application of advanced brain–computer interface analytics to decode and interpret neural data as forensic evidence. Using the EEG Motor Movement/Imagery Dataset, which includes recordings from 109 subjects performing specific motor and imagery tasks, this research deploys the spatiotemporal graph convolutional network with attention mechanism (ST-GCN-AM) for analysis. Our method focuses on extracting cognitive biomarkers associated with deception and intent recognition. The model achieved a classification accuracy of 96.74%, with a precision of 94.91%, recall of 95.38%, and an F1 score of 95.14%, outperforming baseline models. The findings highlight neural forensic potential in identifying patterns of memory ...