TS-DVM: An Efficient Threshold Signature Scheme With Dual Verification Modes in Industrial IoT
Hongjian Yin, Hailiang Li, Yinfeng Hao, Yan Zhu · IEEE Internet of Things Journal · 2025
The Industrial Internet of Things (IIoT) enables real-time data collection, sharing, and analysis across heterogeneous devices, driving digital transformation in manufacturing, energy, logistics, and beyond. In multi-source and multi-receiver IIoT environments, digital signature technology serves as a critical mechanism to guarantee data integrity, authenticity, and non-repudiation. However, existing schemes typically ignore the varying sensitivity of data when designating verifiers, leading to either over-privileged or insufficient verification. To bridge this gap, we propose TS-DVM, an efficient threshold signature scheme featuring a dual-verification mode. TS-DVM supports two selectable verification policies, an inclusion mode, which authorizes only a specified subset of verifiers for high-sensitivity data, and an exclusion mode, which blocks a small blacklist for general-sensitivity data. A central controller adaptively chooses the mode based on data classification, then instructs an edge server to embed verifier-set information into the combined signature. By integrating Shamir’s secret sharing and Schnorr threshold signature, TS-DVM tolerates up ton−toffline or faulty signers, significantly boosting robustness. We formally prove that TS-DVM achieves partial-signature unforgeability under the Discrete Logarithm assumption and resists collusion between malicious signers and the edge server. Comparative performance analysis shows that TS-DVM outperforms several state-of-the-art threshold signature schemes in terms of efficiency. Experimental results on a JPBC-based implementation confirm that TS-DVM incurs minimal computational costs in both inclusion and exclusion modes, demonstrating its suitability for resource-constrained IIoT deployments.