Next-Generation Defense Security: Blockchain, IoT, Digital Twin, and Face Recognition-Based Smart Monitoring System
Year: 2024
Type: conference-paper
Abstract: Authentication plays a critical role in safeguarding the defense industry's sensitive information, personnel, and assets from unauthorized access and security breaches. Strong authentication procedures are necessary to guarantee the integrity and security of military systems, networks, and facilities as defense activities grow more digitally oriented. The rapid advancements in technology and the increasing complexity of defense operations necessitate the development of secure and efficient monitoring systems. This project presents an Internet of things based digital twin technology integrated with AI-powered facial recognition technology with block chain technology to address the unique security challenges faced by the defense industry. The proposed system leverages blockchain's inherent advantages, such as decentralization, immutability, and enhanced security, to create a robust platform for monitoring personnel, assets, and critical infrastructure. By utilizing facial recognition for real-time identification and verification of personnel, the system automates access control, allowing only authorized individuals into restricted areas or to sensitive resources. The biometric data of authorized personnel is securely stored on the blockchain, preventing tampering and ensuring data privacy. Every access attempt-whether successful or unauthorized-is recorded in the decentralized ledger, providing an immutable audit trail for accountability and compliance. Smart contracts embedded within the blockchain facilitate automated responses to security incidents, such as notifying authorities, triggering alarms, or locking down areas when unauthorized individuals are detected. The framework's decentralized nature eliminates single points of failure, enhancing resilience against potential cyberattacks and ensuring continuity of operations.
Authors: Geetha M, Mohith S, Raja S, Venkatramani R, Vignesh S
Institution: M. Kumarasamy College of Engineering
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4407477578