安全高效的基于区块链的集群mwsn共识方案

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Weiwei Qi , Yu Xia , Pan Zhu , Shushu Zhang , Liucun Zhu , Shanjun Zhang
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引用次数: 0

摘要

区块链已在传感器网络中被证明是一种透明和安全存储的分布式解决方案,这使其能够应用于移动无线传感器网络(MWSN)。共识机制是区块链技术的一个重要方面,必须关注MWSN中传感器节点的高移动性、资源受限性和薄弱的物理防御。为了在集群通信中确保MWSN数据存储的安全,我们设计了一种信息证明(PoI)变体,用于通过环境信息生成的有效数据量进行公平矿工活动,包括动态调整数据量阈值,以检测恶意节点并防止其误报信息。此外,我们通过节点的动态集成信任(DIt)引入了一种过滤机制,该机制结合客观性能集成了对整个网络中对等节点的信任评估,以防止恶意节点渗透到最终的共识组中。多级过滤技术在隔离恶意节点的同时提高了活动的公平性,确保了大规模网络中对复杂度敏感的PBFT算法的效率。仿真结果表明,该方案隔离了90%的恶意节点,筛选了20%的成员,生成了一个较小的最终共识组。进一步分析了考虑网络拓扑和移动性模式对性能的影响,并对相关解决方案进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secure and efficient blockchain-based consensus scheme for MWSNs with clustered architecture

Blockchain has proven in sensor networks as a distributed solution for transparent and secure storage, which allows its application in mobile wireless sensor networks (MWSNs). The consensus mechanism, an essential aspect of blockchain technology, must concern the high mobility, resource-constrained nature, and weak physical defenses of sensor nodes in MWSNs. To secure MWSN data storage in clustered communication, we design a proof-of-information (PoI) variant for fair miner campaigning via the amount of valid data generated from environmental information, including a dynamic adjustment of the data volume threshold to detect malicious nodes and prevent them from misreporting information. Additionally, we introduce a filtering mechanism through the dynamic integrated trust (DIt) of nodes, which integrates the trust evaluation of peer nodes across the network combining objective performance to prevent malicious nodes from infiltrating the final consensus group. The multi-level filtering technique improves the campaign fairness while isolating malicious nodes, ensuring complexity-sensitive PBFT algorithm efficiency in large-scale networks. Simulation results show that the scheme isolates 90% of the malicious nodes and screens 20% of members to produce a smaller final consensus group. Further analysis of impacts on the performance considering network topology and mobility patterns and comparisons of the relevant solutions are presented.

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来源期刊
Pervasive and Mobile Computing
Pervasive and Mobile Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS
CiteScore
7.70
自引率
2.30%
发文量
80
审稿时长
68 days
期刊介绍: As envisioned by Mark Weiser as early as 1991, pervasive computing systems and services have truly become integral parts of our daily lives. Tremendous developments in a multitude of technologies ranging from personalized and embedded smart devices (e.g., smartphones, sensors, wearables, IoTs, etc.) to ubiquitous connectivity, via a variety of wireless mobile communications and cognitive networking infrastructures, to advanced computing techniques (including edge, fog and cloud) and user-friendly middleware services and platforms have significantly contributed to the unprecedented advances in pervasive and mobile computing. Cutting-edge applications and paradigms have evolved, such as cyber-physical systems and smart environments (e.g., smart city, smart energy, smart transportation, smart healthcare, etc.) that also involve human in the loop through social interactions and participatory and/or mobile crowd sensing, for example. The goal of pervasive computing systems is to improve human experience and quality of life, without explicit awareness of the underlying communications and computing technologies. The Pervasive and Mobile Computing Journal (PMC) is a high-impact, peer-reviewed technical journal that publishes high-quality scientific articles spanning theory and practice, and covering all aspects of pervasive and mobile computing and systems.
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