Empowering Self-Sovereign Digital Identities: A Blockchain and AI-Driven Approach for Enhanced Privacy and Security
1st Dr. A. Karunamurthy, 2rd S. Kaushik
1Associate Professor, Department of computer Applications, Sri Manakula Vinayagar Engineering college (Autonomous)Puducherry 605107, India
Karunamurthy26@gmail.com
2Post Graduate student, Department of computer Applications, Sri Manakula Vinayagar Engineering college (Autonomous)Puducherry 605107, India
sakthikaushik082@gmail.com
ABSTRACT:
In today’s hyper-digital landscape, secure and private digital identity management is paramount. With increasing reliance on online platforms for services, transactions, and communications, individuals require robust systems that offer privacy, control, and trust. Traditional centralized and federated identity systems—like those offered by major tech companies—have become inadequate, exposing users to significant risks such as data breaches, identity theft, and surveillance. These systems fail to provide users with autonomy over their personal information, as identities are controlled and stored by third-party providers.
To overcome these limitations, this project proposes an advanced self-sovereign digital identity (SSI) framework that integrates decentralized blockchain architecture with machine learning- driven trust evaluation. By leveraging blockchain’s immutable and tamper-resistant ledger, digital identities are stored securely and directly under user control. A Unique Personal Identifier (UPI) is used to authenticate users, eliminating the need for centralized identity providers. To further enhance security, a Logistic Regression model is utilized to assess the trustworthiness of service providers. In scenarios where trust is not established, the system generates masked credentials using a Lookup Substitution Algorithm, ensuring that user privacy is preserved during verification processes.
This blockchain and AI-powered approach provides a user-centric, transparent, and secure alternative to traditional identity systems—empowering individuals to take ownership of their digital identities while mitigating the risks associated with data misuse and centralized control.
Keywords:
Self-Sovereign Identity, Blockchain Identity Management, Privacy-Preserving Authentication, Trust Prediction, Machine Learning, Logistic Regression, Data Security, Identity Decentralization, Cryptographic Identity, Digital Privacy, Decentralized Access Control, SSI, UPI, Credential Masking, Cybersecurity, Lookup Substitution Algorithm.
