SIGN UP WALLET A BLOCK CHAIN BASED PERSONALLY IDENTIFIABLE INFORMATION (PII) MASKING USING LOOKUP SUBSTITUTION

Digital identity is akin to a digital version of a physical ID, such as a passport or driver’s license, containingvarious attributes that represent a user online. Currently, centralized and federated identity management systems,such as those enabling logins via Google or Facebook, dominate the digital landscape. While these systemssimplify access, they pose significant risks. Centralized systems are vulnerable to large-scale data breaches, andfederated models often allow companies to track user data without consent. Existing identity managementapproaches either rely on centralized servers or entrust identity providers with user authentication, oftencompromising data privacy and hindering the portability of identity information. To address these challenges, amore secure and reliable system is necessary—one that empowers users to manage their digital identitiesindependently and securely. This need has driven the development of the Sign Up Wallet, a Self-SovereignIdentity (SSI) model utilizing blockchain and machine learning to safeguard digital identities. Blockchaintechnology supports decentralized identity management, removing the need for third-party identity providers,while machine learning identifies trusted service providers. Users store their digital identity within the Sign UpWallet using cryptographic keys. When interacting with a service provider, they submit a Unique PersonalIdentifier (UPI) for direct credential verification. To assess the trustworthiness of websites, Logistic Regressionis employed. If a service provider is deemed untrustworthy, a masked credential is generated using a LookupSubstitution Algorithm, ensuring privacy during the verification process. This approach allows for secureverification without exposing sensitive data, granting individuals greater control over their digital identities andreducing reliance on centralized authorities, thus minimizing the risks of data breaches and privacyinfringements.