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August 3, 2026· Research Square
preprint
Open access

Secure User Privacy Enforcement in IoT Through a Blockchain- Powered Identity Management System

Authors:Majid Altuwairiqi *

Abstract

Abstract The exponential growth of IoT networks has made the supply of trustworthy digital IDs more important than ever. Limitations in scalability, transparency, and resilience to single points of failure are some of the inherent issues with modern centralised identity management systems. These problems are exacerbated in distributed IoT systems since there is no central authority to rely on for communication and trust establishment among the many devices and various parties involved. By introducing SecureChain-ID, a system that uses blockchain technology to provide distributed identity issuance, authentication, and lifecycle management, this article aims to solve the restrictions that now exist. For resource-constrained Internet of Things (IoT) devices, the system's use of elliptic curve cryptography (ECC) provides digital signatures that are both lightweight and efficient. Credentials may be verified with zero-knowledge proofs (ZKPs) as they do not divulge any personally identifiable information. The blockchain's smart contracts streamline the authentication and registration processes, enabling the widespread agreement on the smooth addition of new administrators and devices. The persistent documentation of all identity-related transactions ensures auditability and safeguards against manipulation. This includes updates, revocations, and access events. Unlike conventional approaches, SecureChain-ID establishes network-wide accountability and paves the way for decentralized governance to be aligned with administrative control, enabling flexible permissioning. Many Internet of Things (IoT) systems can benefit greatly from the proposed approach due to its emphasis on data security, low trust assumptions, and interoperability. This research successfully bridges the conceptual gaps between blockchain, identity, and Internet of Things (IoT) systems by introducing an efficient design that improves future cyber-physical systems' secure identification infrastructure.

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