Abstract With the development of electric vehicles, charging stations have garnered significant attention and progress. As a result, various charging platforms have emerged. However, due to the lack of shared charging information, issues such as low utilization of charging stations during peak hours and insufficient station availability have negatively impacted user experience. Inspired by the concept of an aggregation platform, we propose an aggregated charging platform for electric vehicles (EVs). However, challenges related to trust, such as single-point failures and the difficulty of achieving unified identity management, hinder the implementation of the aggregation model. To address these issues, we propose a blockchain-based EV aggregation charging platform model and a cross-platform identity authentication scheme. Leveraging the decentralized and highly secure characteristics of blockchain, we construct a decentralized aggregation platform and enhance the credibility and reliability of cross-platform authentication through smart contracts. Furthermore, we design a batch authentication scheme to efficiently handle a large number of authentication requests. Simulation results demonstrate that, compared to other schemes, our proposed approach improves authentication efficiency by 50–66.6%.

In the Industrial Internet of Things (IIoT), the identification resolution system enhances communication and overall efficiency between isolated work islands, ensuring the trustworthiness and effectiveness of secure resource sharing across domains through cross-domain authentication. However, traditional identity authentication methods fail to empower users with control over their identity information and face challenges such as difficulty in tracking anonymous users, high computational overhead, and insufficient cross-domain trust. To address these issues, this paper proposes a cross-domain identity authentication scheme based on self-sovereign identity. The scheme leverages aggregate signature technology to enhance authentication efficiency, integrates blockchain technology and smart contracts to achieve cross-domain trust, and designs a mechanism for threshold identity tracking and revocation, as well as an attribute credential update mechanism to enable secure and efficient cross-domain authentication in the identification resolution system. The paper provides formal security definitions and proofs and evaluates the computational and storage efficiency of the scheme through theoretical analysis and experimental simulations. The results demonstrate that the proposed scheme offers significant advantages in resource-constrained scenarios within the IIoT.

In modern industrial enterprises, the application of identity resolution systems contributes to improving efficiency and simplifying production management. With the development of the Industrial Internet of Things (IIoT), integrating identity resolution and Prognostics and Health Management (PHM) has become a new trend. However, ensuring the confidentiality and integrity of enterprise identity data has become challenging due to flaws in identifier encoding design and the semi-trusted nature of identity resolution platforms. To address these issues, we propose a fine-grained access control scheme for the identity resolution system. Our scheme utilizes a novel identifier encoding method and attribute-based encryption algorithm, enabling flexible data classification and permission management for industry enterprises. Moreover, to combat potential malicious behaviors by users, such as unauthorized access or identity abuse, we leverage Blockchain technology to trace malicious users while safeguarding user privacy. The security of our scheme is formally proven under the Decisional Bilinear Diffie-Hellman (DBDH) assumption. Comparative experiments demonstrate the advantages of our proposal in terms of time costs and storage overhead over alternative schemes.