International Research Journal of Education and Technology

Digital identity serves as an individual's online identification, akin to physical documents like passports or driver’s licenses. It encompasses unique characteristics or attributes specific to each person. In the digital realm, organizations typically rely on centralized or federated identity management systems. However, centralized systems pose risks by making user data susceptible to large-scale breaches. Conversely, federated models enable data tracking by companies. Current identity management systems often center around centralized authentication servers, proving inadequate in safeguarding user privacy and facilitating seamless identity data portability. A dependable system is necessary for secure digital interactions. These challenges led to the development of Sign-Up Wallet, a blockchain and machine learning-based solution for managing digital identities. Blockchain technology enables self-sovereign identity management, eliminating the need for trusted third parties. Machine learning aids in identifying trusted service providers. In this proposed system, users store their digital identities in Sign-Up Wallet with cryptographic keys. When registering with a trusted service provider, a Unique Personal Identifier (UPI) Code is used for direct credential verification. Logistic Regression helps predict the trustworthiness of websites. If a service provider is deemed untrustworthy, a masked credential is generated, preserving privacy during verification. This masked credential is then provided to the service provider, maintaining user security without exposing raw data. The primary aim of this project is to empower individuals with greater control over their digital identities, reducing reliance on centralized authorities and mitigating risks associated with data breaches and privacy violations. Keywords—Digital identity, Centralized, Federated, Authentication, Privacy, Blockchain, Self-sovereign identity, Machine learning, Trusted service provider, Privacy-preserving.