A unified cyber-physical security architecture for BCI and IoT based controlling system for next-gen EVs

This research focuses on creating a unified security architecture for future electric vehicles (EVs) that use Brain-Computer Interface (BCI) and Internet of Things (IoT) technologies for control. The study aims to make communication between the human brain, sensors, and the vehicle safer and more reliable. It introduces a multi-layered system where data from brain signals and vehicle sensors are processed securely through edge devices before being sent to the main control unit. The model uses encryption, biometric verification, and intelligent data processing to protect against hacking, data manipulation, and unauthorized access. By combining existing open-source technologies and datasets, this research provides a strong foundation for building safer and smarter next-generation vehicles that connect human intention directly with machine control in a secure way.