Secure blockchain-based reputation system for IIoT-enabled retail industry with resistance to sybil attack

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 : 2025-01-02 DOI:10.1016/j.future.2024.107705
Wenjia Zhao , Xu Yang , Saiyu Qi , Junzhe Wei , Xinpei Dong , Xu Yang , Yong Qi
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Abstract

Leveraging the recent surge in the electronic retail industry, retailer reputation has emerged with increasing significance in shaping consumer purchasing decisions. Despite this, the existing reputation platforms remain largely centralized, thereby enabling retailers to exert total control over reputation services, a reality that compromises the authentic portrayal of retailers. In response, we introduce a secure blockchain-based reputation system, named BlockRep, designed explicitly for the Industrial Internet of Things (IIoT) enabled retail industry. By eliminating dependency on trust inherently foundation in established E-retail platforms, BlockRep effectively resists sybil attack while ensuring review anonymity and authenticity, both critical security requirements of reputation systems. Initially, we champion a hybrid framework designed to enhance user interaction with our system. This approach leverages the centralized E-retail platform to facilitate trade services, whilst unfolding upon a blockchain platform that firmly authenticates the legitimacy of individual reviews. The authentication process is thus anchored to the correctness of cryptographic tokens, which are subsequently deposited on the blockchain. Additionally, we introduce a novel concept, ‘tax-endorsed reviews,’ devised to resist sybil attacks, such as injecting fake positive reviews for itself. Consequently, this necessitates the implementation of a four-party collaboration protocol. Finally, the security analysis complemented with our experimental results, definitively showcase the security and efficiency of BlockRep.
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安全的基于区块链的信誉系统,用于支持iiot的零售行业,具有抵抗黑客攻击的能力
利用最近电子零售行业的激增,零售商的声誉在塑造消费者购买决策方面越来越重要。尽管如此,现有的声誉平台在很大程度上仍然是集中的,从而使零售商能够对声誉服务施加完全的控制,这一现实损害了零售商的真实写照。作为回应,我们引入了一个安全的基于区块链的声誉系统,名为BlockRep,专门为工业物联网(IIoT)支持的零售业设计。通过消除对已建立的电子零售平台固有信任基础的依赖,BlockRep有效地抵御了黑客攻击,同时确保了审查的匿名性和真实性,这两个都是声誉系统的关键安全要求。最初,我们支持一个混合框架,旨在增强用户与系统的交互。这种方法利用集中的电子零售平台来促进交易服务,同时在区块链平台上展开,该平台可以牢固地验证个人评论的合法性。因此,身份验证过程与随后存储在区块链上的加密令牌的正确性绑定在一起。此外,我们引入了一个新颖的概念,“税收支持的评论”,旨在抵御黑客攻击,例如为自己注入虚假的正面评论。因此,这就需要实现四方协作协议。最后,安全性分析与我们的实验结果相结合,明确地展示了BlockRep的安全性和效率。
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来源期刊
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.
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