Federated Control: A Trustable Control Framework for Large-Scale Cyber-Physical Systems

被引:2
|
作者
Zhu, Jing [1 ,2 ]
Yuan, Yong [5 ]
Wang, Fei-Yue [3 ,4 ]
Wang, Ge [2 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Peoples R China
[2] Macau Univ Sci & Technol, Inst Syst Engn, Macau 999078, Peoples R China
[3] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100023, Peoples R China
[4] Macau Univ Sci & Technol, Inst Syst Engn, Macau 999078, Peoples R China
[5] Renmin Univ China, Sch Math, Beijing 100872, Peoples R China
关键词
Blockchains; Control systems; Encryption; Data privacy; Data models; Process control; Topology; Cosmos; cyber-physical system (CPS); distributed control; federated ecology; multiblockchain structure; BLOCKCHAIN; SECURITY;
D O I
10.1109/TII.2024.3363092
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To break the dilemma of data island, a distributed framework for trustable control is proposed toward information security and data privacy in large-scale cyber-physical systems. The federated control system consists of distinct blockchains, as such information security and data privacy are technologically guaranteed. Moreover, data are divided into private and nonprivate data. Only nonprivate data can be exchanged for a better global system performance, where the interblockchain communication is ensured by cross-blockchain technologies. Federated control framework establishes a trustable environment where each subsystem is willing to share data for optimal performance. The architecture, structure, and implementation process of federated control are discussed, together with the potential applications to smart buildings.
引用
收藏
页码:7986 / 7994
页数:9
相关论文
共 50 条
  • [31] Data quality challenges in large-scale cyber-physical systems: A systematic review
    Alwan, Ahmed Abdulhasan
    Ciupala, Mihaela Anca
    Brimicombe, Allan J.
    Ghorashi, Seyed Ali
    Baravalle, Andres
    Falcarin, Paolo
    INFORMATION SYSTEMS, 2022, 105
  • [32] HADES: a Hybrid Anomaly Detection System for Large-Scale Cyber-Physical Systems
    Alwan, Ahmed Abdulhasan
    Ciupala, Mihaela Anca
    Baravalle, Andres
    Falcarin, Paolo
    2020 FIFTH INTERNATIONAL CONFERENCE ON FOG AND MOBILE EDGE COMPUTING (FMEC), 2020, : 136 - 142
  • [33] Adaptive Periodic Communication over MQTT for Large-Scale Cyber-Physical Systems
    Jo, Hyun-Chul
    Jin, Hyun-Wook
    2015 IEEE 3RD INTERNATIONAL CONFERENCE ON CYBER-PHYSICAL SYSTEMS, NETWORKS, AND APPLICATIONS CPSNA 2015, 2015, : 66 - 69
  • [34] Elastic Infrastructure to Support Computing Clouds for Large-scale Cyber-Physical Systems
    Schmidt, Douglas C.
    White, Jules
    Gill, Christopher D.
    2014 IEEE 17TH INTERNATIONAL SYMPOSIUM ON OBJECT/COMPONENT/SERVICE-ORIENTED REAL-TIME DISTRIBUTED COMPUTING (ISORC), 2014, : 56 - 63
  • [35] Generating Large-Scale Synthetic Communication Topologies for Cyber-Physical Power Systems
    Liu, Yigu
    Stefanov, Alexandru
    Palensky, Peter
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 20 (11) : 13463 - 13472
  • [36] Cyber-Physical Control
    Galambos, Peter
    Rudas, Imre J.
    Zhang, Lixian
    Su, Shun-Feng
    COMPLEXITY, 2018,
  • [37] Improved control of cyber-physical systems subject to cyber and physical attacks
    Mahmoud M.S.
    Hamdan M.M.
    Cyber-Physical Systems, 2019, 5 (03) : 173 - 190
  • [38] Control and resource allocation of cyber-physical systems
    Wen, Shixi
    Guo, Ge
    IET CONTROL THEORY AND APPLICATIONS, 2016, 10 (16): : 2038 - 2048
  • [39] Visualisation of Control Software for Cyber-Physical Systems
    Melatti, Igor
    Mari, Federico
    Salvo, Ivano
    Tronci, Enrico
    INFORMATION, 2021, 12 (05)
  • [40] Control Protocols Design for Cyber-Physical Systems
    Cai, Yi
    Qi, Deyu
    2015 IEEE ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2015, : 668 - 671