Supporting Self-Management Redactable Blockchain With Double-Auditability and Revocability for IoT

IF 6.7 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

IEEE Transactions on Network Science and Engineering Pub Date : 2025-01-16 DOI:10.1109/TNSE.2025.3529030

Xiuhua Lu;Yuhao Hou;Jiazheng Zou;Jing Liu;Xijie Lu

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引用次数: 0

Abstract

The Internet of Things (IoT) serves as a crucial tool supporting smart lifestyles. As a significant application of IoT, the speed and security of transaction processing in a global cold chain logistics system have garnered considerable attention. Addressing these two issues, this paper introduces the self-management chameleon hash with double-auditability and revocability (SCHDR). Our redactable blockchain scheme is based on this chameleon hash function. We implement a self-management mechanism with a random value switching technique based on bilinear pairing and combine dual long-term trapdoor keys and label-binding technologies to achieve a double-auditability mechanism. We also effectively correct malicious rewriting behaviors and revoke the permissions for malicious modifications. The security of our scheme is based on the Bilinear Diffie-Hellman (BDH) assumption, and experiments demonstrate that our scheme possesses high efficiency. Furthermore, our proposal can also be applicable to other IoT applications with similar security requirements.

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来源期刊

IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering

CiteScore

12.60

自引率

9.10%

发文量

393

期刊介绍： The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.