Research on Clustering Management of Power Distribution Internet of Things Based on Trusted Blockchain

Sun, Yu-E; Chen, Wei; Chen, Leran; Li, Min

doi:10.1088/1742-6596/1748/5/052064

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…Blockchain networks are created between various kinds of nodes to build hybrid blockchain models, which include public chains and local chains. These hybrid approaches Sun et al [15], proposed a clustering security management system of power distribution IoT that depends on trusted blockchain. Data transmission and clustering management for power distribution IoT were carried out using a trustworthy blockchain, which enhanced the data communication security.…”

Section: Literature Reviewmentioning

confidence: 99%

Design of Clustering Enabled Intrusion Detection with Blockchain Technology

Vimal¹,

Nalini²,

Anguraj³

et al. 2022

Intelligent Automation &Amp; Soft Computing

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Recent advancements in hardware and networking technologies have resulted in a large growth in the number of Internet of Things (IoT) devices connected to the Internet, which is likely to continue growing in the coming years. Traditional security solutions are insufficiently suited to the IoT context due to the restrictions and diversity of the resources available to objects. Security techniques such as intrusion detection and authentication are considered to be effective. Additionally, the decentralised and distributed nature of Blockchain technology makes it an excellent solution for overcoming the security issue. This paper proposes a chaotic bird swarm algorithm (CBSA)-based clustering technique based on an optimum deep belief network (ODBN) and Blockchain technology for secure authentication in an IoT setting. The CBSA-ODBN technique creates a clustering algorithm that utilises CBSA to pick cluster heads (CHs). The ODBN model is then utilised to identify the network, and the learning rate of the Deep Belief Network (DBN) model is optimally adjusted using the flower pollination technique (FPA). The suggested concept creates a layered security network paradigm for the Internet of Things using blockchain technology. Numerous simulations are run, with the outcomes analysed using a variety of measures, including detection rate, packet delivery ratio, energy usage, end-to-end latency, and processing cost. A careful comparison of the suggested model's performance to recently developed methodologies demonstrated the proposed model's superior performance.

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Section: Literature Reviewmentioning

confidence: 99%

Design of Clustering Enabled Intrusion Detection with Blockchain Technology

Vimal¹,

Nalini²,

Anguraj³

et al. 2022

Intelligent Automation &Amp; Soft Computing

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“…Liu & Xue (2020) proposed a trusted computing solution based on blockchain, which can effectively solve the problem of data sharing, break the data island, and solve the problem of users’ concern about data privacy disclosure to a certain extent. Sun, Yang & Gong (2020) proposed that trusted computing and blockchain, as an emerging technology in information security protection, can guarantee the safe and reliable operation environment and management mechanism in the distribution Internet of things.…”

Section: Introductionmentioning

confidence: 99%

Video transaction algorithm considering FISCO alliance chain and improved trusted computing

Yang

Chun-xia

2021

PeerJ Computer Science

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With the advent of the era of self media, the demand for video trading is becoming more and more obvious. Alliance blockchain has the characteristics of traceable transaction records, tamper proof transaction records, decentralized transactions and faster transaction speed than public chains. These features make it a trading platform. Trusted computing can solve the problem of non Byzantine attack in the aspect of hardware. This paper proposes a video transaction algorithm considering FISCO alliance chain and improved trusted computing. First, an improved trusted computing algorithm is used to prepare a trusted transaction environment. Second, the video summary information extraction algorithm is used to extract the summary information that can uniquely identify the video. Finally, based on the video transactions algorithm of FISCO alliance chain, the video summary information is traded on the chain. Experimental results show that the proposed algorithm is efficient and robust for video transactions. At the same time, the algorithm has low computational power requirements and algorithm complexity, which can provide technical support for provincial and county financial media centers and relevant media departments.

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