A distributed identity management and cross-domain authentication scheme for the Internet of Things

IF 6.2 2区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

Future Generation Computer Systems-The International Journal of Escience Pub Date : 2025-03-21 DOI:10.1016/j.future.2025.107818

Miaomiao Wang, Ze Wang

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引用次数: 0

Abstract

Reliable identity management and authentication are prerequisites for secure information communication. Traditional centralized schemes rely on the Certificate Authority (CA), and their cross-domain authentication is complex, posing a risk of centralized data leakage. The advancement of blockchain technology has disrupted the traditional model, leading to the emergence of Self-Sovereign Identity (SSI) management and authentication schemes. However, the widespread adoption of SSI still faces some challenges, such as key loss and the inefficiency of MerkleTree verification. Therefore, we propose an improved distributed identity management and cross-domain authentication scheme for the Internet of Things (IoT). In this scheme, a key creation and recovery mechanism is first proposed to prevent identity unavailability caused by key loss. Then, a double one-way accumulator algorithm is designed to improve identity authentication and enhance the authentication efficiency. Our scheme has passed formal and informal security analyses, and has robust performance.

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来源期刊

Future Generation Computer Systems-The International Journal of Escience 工程技术-计算机：理论方法

CiteScore

19.90

自引率

2.70%

发文量

376

审稿时长

10.6 months

期刊介绍： Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.