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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支持物联网的自我管理可读区块链双重审计和可撤销性

物联网（IoT）是支持智能生活方式的重要工具。作为物联网的重要应用，全球冷链物流系统中交易处理的速度和安全性受到了广泛关注。针对这两个问题，本文引入了具有双重可审计性和可撤销性的自我管理变色龙哈希（SCHDR）。我们的可读区块链方案基于这个变色龙哈希函数。我们利用基于双线性配对的随机值交换技术实现了一种自我管理机制，并结合双长期活板门钥匙和标签绑定技术实现了双重审计机制。我们还有效地纠正了恶意重写行为，并撤销了恶意修改的权限。该方案的安全性基于双线性Diffie-Hellman （BDH）假设，实验证明该方案具有较高的有效性。此外，我们的建议也可以适用于其他具有类似安全需求的物联网应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.