Privacy-Preserving Identity-Based Undeniable Signatures from Lattices with Controlled Verifiability for IoT Networks
The Internet of Things (IoT) network plays an important role in production and people’s daily life. IoT networks generally face security problems of privacy leakage and message denial. To protect the privacy of IoT data and users, this paper first introduces a controlled verification model for IoT networks and then proposes an identity-based undeniable signature (ID-US) scheme. This controlled verification model establishes a secure IoT data-sharing channel with blockchain technology, which reduces data tampering and inconsistency. This ID-US scheme is constructed with lattice cryptography, which can provide strong resistance to quantum attacks. Meanwhile, the undeniable and identity mechanisms ensure that the signed message cannot be denied. Next, the security proof in the random oracle model shows that this ID-US can achieve soundness and unforgeability. The Scyther test results show that there are no attacks by verifying 11 points of attacks from the perspectives of the KGC, signer, and verifier. Moreover, the efficiency analysis and performance analysis of the key size, time consumption, energy consumption, and transaction latency have been performed, and the results show that the ID-US scheme is more efficient than similar schemes in the recently published literature, and the controlled verification model can protect IoT data privacy and support secure IoT data sharing with the undeniable property.
Authors
- Jing Cheng (ORCID: https://orcid.org/0000-0002-9167-0805)
- Shujun Liang (ORCID: https://orcid.org/0009-0000-5419-4312)
- Chaoyang Li (ORCID: https://orcid.org/0000-0003-1455-2714)
- Rui Lu
- Haseeb Ahmad
Institutions
- Zhengzhou University of Light Industry (CN)
- National Textile University (PK)
Publication Details
- Journal
- Sensors
- Published
- 2026-09-30
- DOI
- https://doi.org/10.3390/s26196205
- Primary Topic
- Blockchain Technology Applications and Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00