On Aadhaar Identity Management System
Yash Mehta, Dev Patel, and Manik Lal Das

TL;DR
This paper analyzes privacy concerns in the Aadhaar identification system and proposes a distributed model to enhance privacy, reduce data correlation, and improve authentication efficiency.
Contribution
It introduces a novel distributed Aadhaar model that decentralizes user data to address privacy issues and prevent profiling and collusion by third parties.
Findings
Reduces direct requests to CIDR, enhancing efficiency.
Mitigates data correlation and profiling risks.
Improves authentication process security.
Abstract
A unique identification for citizens can lead to effective governance to manage and provide citizen-centric services. While ensuring this service, privacy of the citizens needs to be preserved. Aadhaar, the identification system by UIDAI has faced some critics regarding its privacy preserving feature. This paper discusses those concerns in Aadhaar system and proposed a new model for the Aadhaar system. The proposed solution is aimed to address the issue of collusion of third party service providers and profiling of Aadhaar users. The proposed solution uses a distributed model capturing the Aadhaar system, in which data of users is decentralized and stored in zonal office's databases as well as the CIDR. The proposed solution provides the functioning of the authentication process of the Aadhaar system more effective, as it reduces the number of requests being handled directly by the CIDR…
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Taxonomy
TopicsInternet Traffic Analysis and Secure E-voting · Privacy-Preserving Technologies in Data · Privacy, Security, and Data Protection
