Blockchain based holistic trust management protocol for ubiquitous and pervasive IoT network

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Experimental & Theoretical Artificial Intelligence Pub Date : 2022-02-09 DOI:10.1080/0952813X.2021.1960641
Anup Patnaik, Banitamani Mallik, M. Krishna
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引用次数: 2

Abstract

ABSTRACT The new emerging blockchain (BC) technology integrated with the IoT ecosystem revolutionised the IoT world. Classic BC with bitcoin method was realised as very expensive operations difficult to adopt for smart IoT applications; therefore, we integrated IoT network with overlay BC with distributed ledger capability to provide a secure trust management system, which can address access control issues of devices on resources. Further, the R-LEACH protocol followed by the same group urges additional cluster head requirement to establish trust between nodes is not considered in our proposed approach. The main advantage of this method is utilising ledgers for holding the trust and IoT information ensuring tamper-proof data. The miners of blockchain layer perform the trust value calculations based on trust evidence and achieved fast trust convergence, accuracy, and resilience against adversary attacks. Our proposed approach enhances privacy, reliability, availability, and more importantly, sharing and storage of trust information and also followed the consensus mechanism Proof-of-Authority (PoA) to approve the synthesis trust value of related transactions by the pre-authenticated miners/validators, from which we can take more accurate trust-based decisions. Performance results of our blockchain-based trust management approach outperformed literature review trust mechanisms for protecting trust data manipulation against the malicious nodes.
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泛在物联网网络中基于区块链的整体信任管理协议
与物联网生态系统集成的新兴区块链(BC)技术彻底改变了物联网世界。使用比特币的经典BC方法被认为是非常昂贵的操作,难以用于智能物联网应用;因此,我们将物联网网络与具有分布式账本功能的覆盖BC集成在一起,提供安全的信任管理系统,可以解决设备对资源的访问控制问题。此外,同一组遵循的R-LEACH协议敦促在节点之间建立信任的额外簇头要求在我们提出的方法中没有考虑。这种方法的主要优点是利用分类账来保存信任和物联网信息,确保数据防篡改。区块链层的矿工基于信任证据进行信任值计算,实现了快速的信任收敛、准确性和抵御对手攻击的弹性。我们提出的方法增强了信任信息的私密性、可靠性、可用性,更重要的是增强了信任信息的共享和存储,并遵循共识机制PoA,由预认证的矿工/验证者批准相关交易的综合信任值,从而可以做出更准确的基于信任的决策。我们基于区块链的信任管理方法的性能结果优于文献综述信任机制,以保护信任数据免受恶意节点的操纵。
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来源期刊
CiteScore
6.10
自引率
4.50%
发文量
89
审稿时长
>12 weeks
期刊介绍: Journal of Experimental & Theoretical Artificial Intelligence (JETAI) is a world leading journal dedicated to publishing high quality, rigorously reviewed, original papers in artificial intelligence (AI) research. The journal features work in all subfields of AI research and accepts both theoretical and applied research. Topics covered include, but are not limited to, the following: • cognitive science • games • learning • knowledge representation • memory and neural system modelling • perception • problem-solving
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