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IEEE International Conference on Consumer Electronics (ICCE)

作者： Dong-Seong Kim Ikechi Saviour Igboanusi Love Allen Chijioke Ahakonye Goodness Oluchi Anyanwu IT Convergence Engineering Kumoh National Institute of Technology Gumi South Korea ICT Convergence Research Center NSLab Co. Ltd. Gumi South Korea Kumoh National Institute of Technology Gumi South Korea Electrical and Software Engineering University of Calgary Canada

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

Blockchain networks must ensure secure and efficient consensus algorithms in consumer electronics and Internet of Things (IoT) devices. This paper proposes a novel consensus algorithm, “Proof-of-Authority-and-Association (PoA 2 )”, designed specifically for IoT blockchain networks in consumer applications. PoA 2 leverages redundancy-based mechanisms to enhance consensus efficiency and reliability, which is critical for real-time data processing and validation in IoT environments. The algorithm integrates proof of authority and association verification, ensuring network participants are authorized and associated with the transactions they validate. Combining these elements, PoA 2 mitigates common challenges such as latency, scalability, and energy consumption often encountered in traditional consensus algorithms. Through simulations and performance evaluations, we demonstrate PoA 2 's effectiveness in achieving consensus while maintaining high levels of security and reducing computational overhead, making it suitable for resource-constrained IoT devices in consumer electronics applications.

关键词： Performance evaluation Scalability Smart contracts consensus algorithm Real-time systems Blockchains Internet of Things Reliability Security Consumer electronics

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Design and Evaluation of Cross-Cloud Authentication Protocol based on Raft consensus algorithm

Design and Evaluation of Cross-Cloud Authentication Protocol...

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Intelligent Systems and Computational Networks (ICISCN), International Conference on

作者： Yihuan Mao Zijie Liu Department of Information Security Naval University of Engineering Wuhan China Unit 92635 of the People's Liberation Army Qingdao China

ISBN: (数字)9798331529246

ISBN: (纸本)9798331529253

The rapid development of the Internet of Things has brought convenience to people's lives, but it has also reduced the security of personal information, to strengthen the security and privacy of authentication information in the Internet of Things, this paper brings the Raft consensus algorithm into the design of authentication protocol to improve the security of user information. The anti-forgery tenure defence mechanism model is constructed on the basis of Raft consensus algorithm, through which the node forgery tenure behaviour is identified and the corresponding punishment is given. Along with this, four phases of registration, generation of authentication blocks, login, and generation of e-ID and authentication are designed for the authentication protocol. In the evaluation, it is found that the time complexity of the Raft consensus algorithm in this paper under the comparison of the four algorithms is only E, and the average running time is only 0.0063 ms. The Raft consensus algorithm can effectively reduce the network authentication time and improve the overall efficiency. At this time, the two-way authentication not only has untraceable ability and also has perfect expansion ability, in order to ensure the overall security at the same time to ensure the integrity of the data, in the non-cloning conditions, to prevent DOS attacks and counterfeiting attacks, this paper's protocol security is the most ideal. Not only does it improve the privacy of personal information, but it also provides guiding suggestions for future related research.

关键词： Privacy Protocols Voting Authentication consensus algorithm Forgery Mobile handsets Security Internet of Things Time complexity

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ANALYSIS OF LINEAR consensus algorithm ON STRONGLY CONNECTED GRAPH USING EFFECTIVE RESISTANCE

arXiv

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arXiv 2025年

作者： Yonaiyama, Takumi Sato, Kazuhiro Department of Mathematical Informatics Graduate School of Information Science and Technology The University of Tokyo Japan

We study the performance of the linear consensus algorithm on strongly connected graphs using the linear quadratic (LQ) cost as a performance measure. In particular, we derive bounds on the LQ cost by leveraging effective resistance. Our results extend previous analyses—which were limited to reversible cases—to the nonreversible setting. To facilitate this generalization, we introduce novel concepts, termed the back-and-forth path and the pivot node, which serve as effective alternatives to traditional techniques that require reversibility. Moreover, we apply our approach to geometric graphs to estimate the LQ cost without the reversibility assumption. The proposed approach provides a framework that can be adapted to other contexts where reversibility is typically assumed. Copyright © 2025, The Authors. All rights reserved.

关键词： consensus algorithm

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Spectral-Adaptive consensus algorithm for Robust Fault Mitigation in Decentralized Smart Manufacturing Networks

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IEEE TRANSACTIONS ON CYBERNETICS 2025年 PP卷 PP页

作者： Lu, Yang Zhao, Shuai Zang, Yuting Bian, Ziyi Zheng, Yan Northeast Forestry Univ Coll Comp & Control Engn Harbin 150040 Peoples R China Harbin Normal Univ Coll Comp Sci & Informat Engn Harbin 150025 Peoples R China

Decentralized smart manufacturing systems serve as a robust foundation for optimizing production processes and maintaining stringent quality standards in modern industrial environments. However, in such distributed architectures, uncontrolled and rapid fault propagation presents significant challenges, often resulting in widespread operational disruptions and compromised system integrity. To address these issues, we propose the spectral-adaptive consensus fault mitigation algorithm (SAC-FMA), which efficiently detects, contains, and mitigates fault propagation across decentralized manufacturing networks. Our approach uniquely combines spectral graph theory with adaptive consensus mechanisms to synchronize fault detection and isolation while dynamically adjusting operational parameters to preserve system stability and efficiency. Experimental results demonstrate that SAC-FMA outperforms traditional fault management approaches with a 41% improvement in convergence rate, 67% enhancement in fault containment efficiency, 60% reduction in system instability, 95% maintenance of operational performance, and 40% decrease in communication overhead. These findings highlight SAC-FMA's potential for significantly enhancing resilience and reliability in smart manufacturing environments.

关键词： Smart manufacturing Prevention and mitigation Adaptive control Real-time systems consensus algorithm Stability analysis Fault detection Resilience Fault tolerance Convergence decentralized smart manufacturing fault mitigation spectral consensus

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consensus algorithm-Based Approach to Fundamental Modeling of Water Pipe Networks

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AICHE JOURNAL 2017年第9期63卷 3860-3870页

作者： Lee, Shin Je Lee, Jong Min Wu, Jingbo Allgower, Frank Suh, Jung Chul Lee, Gibaek Seoul Natl Univ Inst Chem Proc Sch Chem & Biol Engn Seoul 08826 South Korea Univ Stuttgart Inst Syst Theory & Automat Control D-70569 Stuttgart Germany Samchully Corp Seoul 07328 South Korea Korea Natl Univ Transportat Dept Chem & Biol Engn Chungju Si 27469 Chungbuk South Korea

Modeling the flow dynamics of leaks in water pipe networks is an extremely difficult problem due to the complex entangled network structure and hydraulic phenomenon. A mathematical model for leak dynamics in water pipe networks based on consensus algorithm and water hammer theory is proposed. The resulting model is a simple and linearly interconnected system even though the dynamics of water pipe networks has considerable complexity. The model is then validated using experimental data obtained from real pipe network. A comparative study demonstrates the proposed model can describe the real system with high qualitative and quantitative accuracy and it can be used to develop model-based leak detection and location algorithm based on state estimation. To show applicability of the proposed model, we apply cooperative H-infinity estimation to the developed model. The results demonstrate the consensus-based pipe model can be potentially used for leak detection and location with state estimation. (C) 2017 American Institute of Chemical Engineers

关键词： mathematical modeling water pipe networks consensus algorithm fault diagnosis state estimation

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consensus algorithm for medical data storage and sharing based on master–slave multi-chain of alliance chain

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High-Confidence Computing 2023年第3期3卷 12-21页

作者： Yixian Zhang Feng Zhao School of Information and Communication Guilin University of Electronic TechnologyGuilin 541004China School of Artificial Intelligence and Information Engineering Guangxi Electrical Polytechnic InstituteNanning 530299China

The safe storage and sharing of medical data have promoted the development of the public medical *** the same time,blockchain technology guarantees the safe storage and sharing of medical ***,the consensus algorithm in the current medical blockchain cannot meet the requirements of low delay and high throughput in the large-scale network,and the identity of the primary node is exposed and vulnerable to ***,this paper proposes an efficient consensus algorithm for medical data storage and sharing based on a master–slave multi-chain of alliance chain(ECA_MDSS).Firstly,institutional nodes in the healthcare alliance chain are clustered according to geographical location and medical system structure to form a multi-zones *** system adopts master–slave multi-chain architecture to ensure security,and each zone processes transactions in parallel to improve consensus ***,the aggregation signature is used to improve the practical Byzantine fault-tolerant(PBFT)consensus to reduce the communication interaction of consensus in each ***,an efficient ring signature is used to ensure the anonymity and privacy of the primary node in each zone and to prevent adaptive ***,a trust model is introduced to evaluate the trust degree of the node to reduce the evil done by malicious *** experimental results show that ECA_MDSS can effectively reduce communication overhead and consensus delay,improve transaction throughput,and enhance system scalability.

关键词： Alliance chain Master-slave multi-chain consensus algorithm Aggregation signature Ring signature Trust value

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consensus algorithm based on verifiable randomness

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INFORMATION SCIENCES 2022年 608卷 844-857页

作者： Wang, Ping Chen, Weiqian Sun, Zhiwei Shenzhen Univ Coll Elect & Informat Engn Guangdong Key Lab Intelligent Informat Proc Shenzhen Peoples R China Shenzhen PolyTech Sch Artifcial Intelligence Shenzhen Peoples R China

consensus algorithms are the core of blockchain technology, which can cause nodes to reach consistency or liveness when there are Byzantine nodes in the network. The generation of public randomness in decentralized networks has been significantly demanding and challenging in terms of the consensus mechanism. Previously, the multi-party random number generator (mRNG), which is a mechanism for creating a single value from the contributions of decentralized multiple parties, was mainly designed based on the verifiable random function. In this study, we first construct novel, efficient verifiable mRNG protocols from any one-way function. The protocols can achieve the properties of fairness, no trusted third party, public verifiability, and manipulation resistance. Subsequently, we propose a delegated PoS (DPoS)-based consensus algorithm that adopts the verifiable mRNG. The new algorithm can solve the problem of low fairness caused by the artificial election of master nodes using DPoS, while addressing the issue of manipulating the consensus process owing to the pseudo-random number generated by the traditional RNG, thereby improving the credibility of the consensus algorithm. (c) 2022 Elsevier Inc. All rights reserved.

关键词： Verifiable random function Verifiable random number consensus algorithm Decentralized random number generation Hash chain

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consensus algorithm-Based Distributed Operation of Microgrids During Grid-Connected and Islanded Modes

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IEEE ACCESS 2020年 8卷 78151-78165页

作者： Ali, Haesum Hussain, Akhtar Bui, Van-Hai Kim, Hak-Man Incheon Natl Univ Dept Elect Engn Incheon 406840 South Korea

The existing distributed operation schemes for microgrids lack the ability to determine the power selling to the grid during normal operation mode and are unable to provide service reliability to critical loads, during islanded operation mode. In order to overcome these issues, in this study, we have proposed a distributed operation method for both grid-connected and islanded modes of microgrids. Unlike the existing studies, where the utility grid is considered as a dispatchable generator, the bi-directional flow of power with the grid is considered in this study. Similarly, different load agents are considered for different priority loads to assure the service reliability to the critical loads during islanding. A two-step operation method is proposed for both grid-connected and islanded mode operations. During the first step, each agent in the network shares information with its neighboring agents to determine the total load and available renewable power in the network. Whereas, in the second step, each agent in the network determines the optimal operation points based on the local information received from the neighboring agents. Moreover, a modified cost function for the battery is also proposed in this study, which utilizes the information of market price and load to enhance the battery operation. A comparison is made between the centralized method, conventional distributed method, and the proposed distributed operation method. Simulation results have proved the effectiveness of the proposed method for realizing distributed operation for microgrids in both grid-connected and islanded modes.

关键词： Microgrids Cost function Batteries Generators Reliability Mathematical model State of charge consensus algorithm distributed system microgrid optimal operation welfare function

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consensus algorithm for Fair Power Curtailment of PV Systems in LV Networks

Consensus Algorithm for Fair Power Curtailment of PV Systems...

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IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia)

作者： Haque, A. N. M. M. Xiong, M. Nguyen, P. H. Eindhoven Univ Technol Dept Elect Engn POB 513 NL-5600 MB Eindhoven Netherlands

ISBN: (纸本)9781538674345

Overvoltage problems are emerging as prominent issues all over Europe in low-voltage (LV) networks as they are hosting increasing share of distributed generation (DG) units. Active power curtailment with P-V droop control has been widely applied as a local solution to overvoltage issues. However, the conventional P-V droop control with constant droop parameters depend solely on local measurement and leads to unfair power curtailment among the connected end-users. In this paper, an innovative management scheme is proposed based on consensus algorithm for fair power curtailment. The algorithm focuses on the communication between adjacent nodes, while the control objectives are achieved by stepwise iterative calculations in the local controller. The algorithm has been tested through simulation analyses in three different LV networks. The simulation results indicate promising potential compared to conventional control methods.

关键词： Overvoltage consensus algorithm power curtailment droop control

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consensus algorithm with Censored Data for Distributed Detection with Corrupted Measurements: A Game-Theoretic Approach 7th

Consensus Algorithm with Censored Data for Distributed Detec...

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7th International Conference on Decision and Game Theory for Security (GameSec)

作者： Kallas, Kassem Tondi, Benedetta Lazzeretti, Riccardo Barni, Mauro Univ Siena Dept Informat Engn & Math Via Roma 56 I-53100 Siena Italy

ISBN: (纸本)9783319474137;9783319474120

In distributed detection based on consensus algorithm, all nodes reach the same decision by locally exchanging information with their neighbors. Due to the distributed nature of the consensus algorithm, an attacker can induce a wrong decision by corrupting just a few measurements. As a countermeasure, we propose a modified algorithm wherein the nodes discard the corrupted measurements by comparing them to the expected statistics under the two hypothesis. Although the nodes with corrupted measurements are not considered in the protocol, under proper assumptions on network topology, the convergence of the distributed algorithm can be preserved. On his hand, the attacker may try to corrupt the measurements up to a level which is not detectable to avoid that the corrupted measurements are discarded. We describe the interplay between the nodes and the attacker in a game-theoretic setting and use simulations to derive the equilibrium point of the game and evaluate the performance of the proposed scheme.

关键词： Adversarial signal processing consensus algorithm Distributed detection with corrupted measurements Data fusion in malicious settings Game theory

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