Next-Generation Defense Security: Blockchain, IoT, Digital Twin, and Face Recognition-Based Smart Monitoring System

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

Institutions

Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icuis64676.2024.10866097
Citations
1
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Next-Generation Defense Security: Blockchain, IoT, Digital Twin, and Face Recognition-Based Smart Monitoring System

S. Vignesh, M. Geetha, Shameem Raja, R Venkatramani et al.
1 citations
Impact of AI and Big Data on Business and Society
0.49
article

Next-Generation Defense Security: Blockchain, IoT, Digital Twin, and Face Recognition-Based Smart Monitoring System

S. Vignesh, M. Geetha, Shameem Raja, R Venkatramani, S Mohith
article en
1 citations

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.

M. Kumarasamy College of Engineering
Openalex Percentile: Top 27%
Impact of AI and Big Data on Business and Society
0.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.