Implementing Aadhar-Linked Biometric Re-authentication Can Prevent Terrorist Misuse of India’s Mobile Networks

In India, the escalating misuse of mobile SIM cards by terrorist groups poses a significant threat to national security. Although Aadhaar-based Know Your Customer (KYC) protocols are in place, identity verification is conducted only during the activation of the SIM card. This results in a particular vulnerability, as SIM cards can be transferred to different users without any further verification. To address this concern, this paper proposes a dynamic Aadhaar-linked biometric re-authentication framework that enables continuous verification of SIM ownership through facial recognition technology. The study details the design concepts and technical architecture of the proposed system, which combines Aadhaar’s facial authentication APIs with sophisticated facial recognition models and mobile telecom networks. This framework enables regular identity verification via mobile devices, offering fallback methods like OTP verification and in-person checks for users facing biometric issues or those with limited digital access. Additionally, it incorporates adaptive verification triggers informed by user behaviour and location, striving to minimise unauthorised SIM usage in high-risk or remote regions. Implementation models based on scenarios showcase the system’s adaptability in urban, rural, and border areas, reflecting the diverse connectivity and device access landscape in India. Additionally, the paper assesses the system’s scalability, operational feasibility, cost considerations, and its potential for future integration with 6G infrastructure and AI-driven edge computing. Legal and ethical factors are managed by aligning with the Aadhaar Act, data protection laws, and privacy-by-design principles. The study analyses potential biases and accessibility issues, incorporating technical improvements like federated learning and liveness detection to enhance system robustness. The phased deployment strategy highlights risk-sensitive implementation and demographic inclusivity. This framework seeks to bolster India’s telecom security system by shifting from static to continuous identity assurance. It enhances national security while upholding user rights and ensuring service accessibility.

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Publication Details

Journal
American Journal of Information Science and Technology
Published
2025-06-06
DOI
https://doi.org/10.11648/j.ajist.20250902.16
Primary Topic
Biometric Identification and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Implementing Aadhar-Linked Biometric Re-authentication Can Prevent Terrorist Misuse of India’s Mobile Networks

P. K. Majumdar
American Journal of Information Science and Technology
Biometric Identification and Security
article

Implementing Aadhar-Linked Biometric Re-authentication Can Prevent Terrorist Misuse of India’s Mobile Networks

P. K. Majumdar
article en

Abstract

In India, the escalating misuse of mobile SIM cards by terrorist groups poses a significant threat to national security. Although Aadhaar-based Know Your Customer (KYC) protocols are in place, identity verification is conducted only during the activation of the SIM card. This results in a particular vulnerability, as SIM cards can be transferred to different users without any further verification. To address this concern, this paper proposes a dynamic Aadhaar-linked biometric re-authentication framework that enables continuous verification of SIM ownership through facial recognition technology. The study details the design concepts and technical architecture of the proposed system, which combines Aadhaar’s facial authentication APIs with sophisticated facial recognition models and mobile telecom networks. This framework enables regular identity verification via mobile devices, offering fallback methods like OTP verification and in-person checks for users facing biometric issues or those with limited digital access. Additionally, it incorporates adaptive verification triggers informed by user behaviour and location, striving to minimise unauthorised SIM usage in high-risk or remote regions. Implementation models based on scenarios showcase the system’s adaptability in urban, rural, and border areas, reflecting the diverse connectivity and device access landscape in India. Additionally, the paper assesses the system’s scalability, operational feasibility, cost considerations, and its potential for future integration with 6G infrastructure and AI-driven edge computing. Legal and ethical factors are managed by aligning with the Aadhaar Act, data protection laws, and privacy-by-design principles. The study analyses potential biases and accessibility issues, incorporating technical improvements like federated learning and liveness detection to enhance system robustness. The phased deployment strategy highlights risk-sensitive implementation and demographic inclusivity. This framework seeks to bolster India’s telecom security system by shifting from static to continuous identity assurance. It enhances national security while upholding user rights and ensuring service accessibility.

American Journal of Information Science and TechnologyVol. 9(2)
Kalinga University (IN)
Openalex Percentile: Top 82%
Biometric Identification and Security
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