A Decentralized Identity (DID) Architecture for Secure IoT Sensing in Agricultural Supply Chains

Abstract

With the quick expansion of IoT technologies, it has become easy to monitor the condition of crops in real time, automate irrigation, and logistics. Nevertheless, conventional centralized identity systems pose serious security risks such as single point failures, data manipulation, identity impersonation, and access without authorization. In this work, an innovative Decentralized Identity (DID) framework is introduced, which is designed for secure IoT sensing in agricultural supply chains. This architecture incorporates Decentralized Identifiers (DIDs) of W3C consortium, verifiable credentials, permissioned blockchains and smart contracts in order to ensure that there is no reliance on any central authorities. A hybrid on-chain/off-chain storage approach is applied, in which hashes remain immutable on chain while all heavy telemetry is stored off-chain in order to ensure scalability. Experiments prove that the suggested system is highly precise in authentication, provides close to zero false positive rates, reliable resilience to cyber-attacks like spoofing and replay, and full data integrity checks at every stage.