PRIVACY-CENTRIC SELF-SOVEREIGN IDENTITY FRAMEWORK DESIGN FOR PUBLIC BLOCKCHAINS

Abstract

Identity management has evolved over time, yet centralized and federated models remain vulnerable to large-scale data breaches and privacy concern. This paper presented a privacy- centric Self-Sovereign Identity (SSI) framework for public blockchains that incorporates advanced cryptographic method, such as ephemeral Decentralized Identifiers (DIDs), BBS+ selective disclosure signatures, and accumulator-based revocation. The framework was designed and evaluated using a Design Science Research (DSR) methodology, it encompassing architectural design, prototype implementation, and performance testing on the Ethereum testnet. With a slight performance overhead of 10–15% in latency and throughput, experimental results show an 80% reduction in linkability risk when compared to baseline SSI models. These results demonstrate that blockchain-based identity systems can successfully balance privacy, scalability, and usability. The study contributes a deployable, empirically validated architecture that advances privacy-by- design principles for next-generation digital identity infrastructures.