2.793

                    2018影響因子

                    (CJCR)

                    • 中文核心
                    • EI
                    • 中國科技核心
                    • Scopus
                    • CSCD
                    • 英國科學文摘

                    留言板

                    尊敬的讀者、作者、審稿人, 關于本刊的投稿、審稿、編輯和出版的任何問題, 您可以本頁添加留言。我們將盡快給您答復。謝謝您的支持!

                    姓名
                    郵箱
                    手機號碼
                    標題
                    留言內容
                    驗證碼

                    聯邦控制: 面向信息安全和權益保護的分布式控制方法

                    朱靜 王飛躍 王戈 田永林 袁勇 王曉 齊紅威 賈曉豐

                    朱靜, 王飛躍, 王戈, 田永林, 袁勇, 王曉, 齊紅威, 賈曉豐. 聯邦控制: 面向信息安全和權益保護的分布式控制方法. 自動化學報, 2021, 47(8): 1912?1920 doi: 10.16383/j.aas.c210182
                    引用本文: 朱靜, 王飛躍, 王戈, 田永林, 袁勇, 王曉, 齊紅威, 賈曉豐. 聯邦控制: 面向信息安全和權益保護的分布式控制方法. 自動化學報, 2021, 47(8): 1912?1920 doi: 10.16383/j.aas.c210182
                    Zhu Jing, Wang Fei-Yue, Wang Ge, Tian Yong-Lin, Yuan Yong, Wang Xiao, Qi Hong-Wei, Jia Xiao-Feng. Federated control: A distributed control approach towards information security and rights protection. Acta Automatica Sinica, 2021, 47(8): 1912?1920 doi: 10.16383/j.aas.c210182
                    Citation: Zhu Jing, Wang Fei-Yue, Wang Ge, Tian Yong-Lin, Yuan Yong, Wang Xiao, Qi Hong-Wei, Jia Xiao-Feng. Federated control: A distributed control approach towards information security and rights protection. Acta Automatica Sinica, 2021, 47(8): 1912?1920 doi: 10.16383/j.aas.c210182

                    聯邦控制: 面向信息安全和權益保護的分布式控制方法

                    doi: 10.16383/j.aas.c210182
                    基金項目: 中國澳門特別行政區科學技術發展基金(0050/2020/A1)資助
                    詳細信息
                      作者簡介:

                      朱靜:南京航空航天大學自動化學院講師. 2015年獲得中國香港城市大學電子工程專業博士學位. 主要研究方向為控制理論與應用. E-mail: drzhujing@nuaa.edu.cn

                      王飛躍:中國科學院自動化研究所復雜系統管理與控制國家重點實驗室主任, 中國科學院大學中國經濟與社會安全研究中心主任, 青島智能產業技術研究院院長. 主要研究方向為平行系統的方法與應用, 社會計算, 平行智能以及知識自動化. 本文通信作者. E-mail: feiyue.wang@ia.ac.cn

                      王戈:中國澳門科技大學系統工程研究所博士研究生. 主要研究方向為聯邦治理、DAO、平行智能系統

                      田永林:中國科學技術大學與中國科學院自動化研究所聯合培養博士研究生. 主要研究方向為計算機視覺, 智能交通. E-mail: tyldyx@mail.ustc.edu.cn

                      袁勇:中國人民大學數學學院教授, 中國自動化學會區塊鏈專委會主任. 2008年獲得山東科技大學計算機軟件與理論專業博士學位. 主要研究方向為區塊鏈與計算經濟學. E-mail: yong.yuan@ruc.edu.cn

                      王曉:中國科學院自動化研究所復雜系統管理與控制國家重點實驗室副研究員. 2016 年獲得中國科學院大學社會計算博士學位. 主要研究方向為社會交通, 社會計算, 動態網群組織, 人工智能和社交網絡分析. E-mail: x.wang@ia.ac.cn

                      齊紅威:數據堂(北京)科技股份有限公司董事長, 高級工程師. 2004年獲得中國科學院自動化研究所博士學位. 主要研究方向為人工智能數據采集, 處理, 以及聯邦數據. E-mail: Henry@datatang.com

                      賈曉豐:北京市大數據中心數據管理部負責人, 高級工程師. 2015年獲得中國科學院大學博士學位. 主要研究方向為大數據, 區塊鏈, 隱私計算等領域的研究和工程實踐. E-mail: jiaxf@jxj.beijing.gov.cn

                    Federated Control: A Distributed Control Approach Towards Information Security and Rights Protection

                    Funds: Supported by The Science and Technology Development Fund, Macau SAR, China (0050/2020/A1)
                    More Information
                      Author Bio:

                      ZHU Jing Lecturer at the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics. She received her Ph. D. degree in electrical engineering from City University of Hong Kong. China in 2015. Her research interest covers control theories and applications

                      WANG Fei-Yue State specially appointed expert and director of the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences. Director of China Economic and Social Security Research Center in University of Chinese Academy of Sciences. President of Qingdao Academy of Intelligent Industries. His research interest covers methods and applications for parallel systems, social computing, parallel intelligence, and knowledge automation. Corresponding author of this paper

                      WANG Ge Ph. D. candidate at the Institute of Systems Engineering, Macau University of Science and Technology, China. His research interest covers federated governance, smart contracts, DAO, parallel intelligence

                      TIAN Yong-Lin Ph. D. candidate in the Department of Automation, University of Science and Technology of China and the Institute of Automation, Chinese Academy of Sciences. His research interest covers computer vision and intelligent transportation system

                      YUAN Yong Professor at the School of Mathematics, Renmin University of China. He is also the director of Technical Committee on Blockchain, Chinese Association of Automation. He received his Ph. D. degree in computer software and theory from Shandong University of Science and Technology in 2008. His research interest covers blockchain and computational economics

                      WANG Xiao Associate professor at the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences. She received her Ph. D. degree in social computing from the University of Chinese Academy of Sciences in 2016. Her research interest covers social computing, cybermovement organizations, artificial intelligence and social network analysis

                      QI Hong-Wei Chairman at Datatang (Beijing) Technology Co., Ltd., senior engineer. He received his Ph. D. degree from Institute of Automation, Chinese Academy of Sciences in 2004. His research interst covers artificial intelligence data acquisition, processing, federal data

                      JIA Xiao-Feng Director at the Data Management Department, Beijing Big Data Centre, senior engineer. He received his Ph. D. degree from University of Chinese Academy of Sciences in 2015. His research interest covers the research and practice of big data, block chain, and privacy computing

                    • 摘要: 本文提出一種基于聯邦智能的分布式控制方法—聯邦控制. 作為聯邦生態的核心環節, 聯邦控制從聯邦智能的需求響應出發, 以聯邦數據的信息安全和權益保護為目標, 以區塊鏈、平行系統為技術支撐, 為大型復雜系統提供高效、安全、可靠的控制與管理.
                    • 圖  1  聯邦控制搜索結果(2021-02-28)

                      Fig.  1  Search results on federated control (2021-02-28)

                      圖  2  平行系統理論框圖

                      Fig.  2  Framework of the parallel system theory

                      圖  3  聯邦控制的層級架構

                      Fig.  3  Hierarchical framework of federated control

                      圖  4  聯邦控制基本流程

                      Fig.  4  Flow chart of federated control

                      圖  5  聯邦控制的研究框架

                      Fig.  5  Research framework of federated control

                      圖  6  基于區塊鏈的聯邦鏈式網絡

                      Fig.  6  Blockchain based federated-chain network

                      圖  7  車聯網聯邦控制框架

                      Fig.  7  Framework of federated control in internet of vehicles

                      圖  8  旅游市場聯邦控制模型

                      Fig.  8  Federated control model of tourist marketing systems

                      360彩票
                    • [1] 王飛躍. 平行哲學與智能科學:從萊布尼茨的Monad 到區塊鏈之DAO. 模式識別與人工智能, 2020, 33(12): 1055-1065.

                      Wang F Y. Parallel philosophy and intelligent science: from Leibniz’s Monad to blockchain’s DAO. Pattern Recognition and Artificial Intelligence, 2020, 33(12): 1055-1065.
                      [2] 王飛躍.平行哲學:智能產業與智慧經濟的本源及其目標.中國科學院院刊, 2021, 36(3):308-318.

                      Wang F Y. Parallel philosophy: origin and goal of intelligent industries and smart economics. Bulletin of Chinese Academy of Sciences, 2021, 36(3):308-318.
                      [3] 鄭南寧. 人工智能面臨的挑戰. 自動化學報, 2016, 42(5):641-642.

                      Zheng Nan-Ning. On challenges in artificial intelligence. Acta Automatica Sinica, 2016, 42(5): 641-642
                      [4] Balkin J M. Information fiduciaries and the first amendment. UC Davis Law Review, 2016, 49(4): 1183-1234.
                      [5] Richards N, Hartzog W. Trusting big data research. DePaul Law Review, 2017, 66: 579-590.
                      [6] Khan L M, Pozen D E. A skeptical view of information fiduciaries. Harvard Law Review, 2019, 133: 497-541.
                      [7] Barrett L. Confiding in Con Men: US privacy law, the GDPR, and information fiduciaries. Seattle University Law Review, 2018, 42(3): 1057.
                      [8] 王飛躍, 王艷芬, 陳薏竹等. 聯邦生態:從聯邦數據到聯邦智能. 智能科學與技術學報, 2020, 2(4): 305-313.

                      Wang F Y, Wang Y F, Chen Y Z. Federated ecology: from federated data to federated intelligence. Chinese Journal of Intelligent Science and Technology, 2020, 2(4): 305-313.
                      [9] 王飛躍. 復雜系統與智能科學的研究方向和發展策略. 實驗室研究與探索, 2004, 23(5): 74-76. doi: 10.3969/j.issn.1006-7167.2004.05.028

                      Wang F Y. Direction and strategy for research and development of the complex systems and intelligence science. Research and Exploration in Laboratory, 2004, 23(5):74-76. doi: 10.3969/j.issn.1006-7167.2004.05.028
                      [10] 王飛躍. 關于復雜系統研究的計算理論與方法. 中國基礎科學, 2004, 6(5): 3-10. doi: 10.3969/j.issn.1009-2412.2004.05.001

                      Wang F Y. Computational theory and method on complex system. China Basic Science, 2004, 6(5): 3-10. doi: 10.3969/j.issn.1009-2412.2004.05.001
                      [11] 王飛躍, 王成紅. 基于網絡控制的若干基本問題的思考和分析. 自動化學報, 2002, 28(OS1):171-176.

                      Wang F Y, Wang C H. On some basic issues in network-based direct control systems. Acta Automatica Sinica, 2002. 28(OS1):171-176.
                      [12] 夏元清. 云控制系統及其面臨的挑戰. 自動化學報, 2016, 42(1):1-12.

                      Xia Y Q. Cloud control systems and their challenges. Acta Automatica Sinica, 2016, 42(1):1-12.
                      [13] Lian F L, Moyne J, Tilbury D. Network design consideration for distributed control systems. IEEE Transactions on Control Systems Technology, 2002, 10(2):297-307. doi: 10.1109/87.987076
                      [14] Wang F Y, Wang C H. Agent-based control systems for operation and management of intelligent network-enabled devices. In: Proceedings of IEEE International Conference on Systems, Man and Cybernetics, Washington D.C., USA, 2003. 5028?5033
                      [15] 王飛躍. 平行系統方法與復雜系統的管理和控制. 控制與決策, 2004, 19(5): 485-489. doi: 10.3321/j.issn:1001-0920.2004.05.002

                      Wang F Y. Parallel system methods for management and control of complex systems. Control and Decision, 2004, 19(5): 485-489. doi: 10.3321/j.issn:1001-0920.2004.05.002
                      [16] 王飛躍, 史帝夫·蘭森. 從人工生命到人工社會-復雜社會系統研究的現狀與展望. 復雜系統與復雜科學, 2004, 1(1): 33-41.

                      Wang F Y, Lansing J S. From artificial life to artificial societies-new methods for studies of complex social systems. Complex Systems and Complexity Science, 2004, 1(1):33-41.
                      [17] 王飛躍. 平行控制: 數據驅動的計算控制方法. 自動化學報, 2013, 39(4): 293-302

                      Wang F Y. Parallel control: a method for data-driven and computational control. Acta Automatica Sinica, 2013, 39(4): 293-302.
                      [18] Wang F Y. Parallel Ecology for Intelligent and Smart Cyber–Physical–Social Systems. IEEE Transactions on Computational Social Systems, 2020, 7(6):1318-1323. doi: 10.1109/TCSS.2020.3044129
                      [19] Wang F Y. aDCS: Agent-based distributed control systems. PARCS Technical Report, University of Arizona, 1999.
                      [20] Wang F Y, Liu D. Networked Control Systems: Theory and Applications. Springer, Berlin, Heidelberg, 2010.
                      [21] Yang Q, Liu Y, Chen T, et al. Federated machine learning: concept and applications. ACM Transactions on Intelligent Systems and Technology, 2019, 10(2):1-19.
                      [22] 陳兵, 成翔, 張佳樂等. 聯邦學習安全與隱私保護綜述. 南京航空航天大學學報, 2020, 52(5): 675-684.

                      Chen B, Cheng X, Zhang J L, et al. Survey of security and privacy in federated learning. Journal of Nanjing University of Aeronautics & Astronautics, 2020, 52(5): 675-684.
                      [23] 王飛躍. 從牛頓系統到默頓系統—系統工程的過去, 現在和未來: 系統工程與管理變革: 從牛頓到默頓的升華. 管理學家: 實踐版, 2013, (10): 10−19
                      [24] 王飛躍. 軟件定義的系統與知識自動化: 從牛頓到默頓的平行升華.自動化學報, 2015, 41(1): 1-8.

                      Wang F Y. Software-defined systems and knowledge automation: a parallel paradigm shift from Newton to Merton. Acta Automatica Sinica, 2015, 41(1): 1-8.
                      [25] 王飛躍. 人工社會、計算實驗、平行系統| 關于復雜社會經濟系統計算研究的討論. 復雜系統與復雜性科學, 2004, 1(4): 25-35. doi: 10.3969/j.issn.1672-3813.2004.04.002

                      Wang F Y. Artificial societies, computational experiments, and parallel systems: a discussion on computational theory of complex social-economic systems. Complex Systems and Complexity Science, 2004, 1(4): 25-35. doi: 10.3969/j.issn.1672-3813.2004.04.002
                      [26] 袁勇, 王飛躍. 區塊鏈技術發展現狀與展望. 自動化學報, 2016, 42(4): 481-494.

                      Yuan Y, Wang F Y. Blockchain: the state of the art and future trends. Acta Automatica Sinica, 2016, 42(4): 481-494.
                      [27] Gamal T E. A public key cryptosystem and a signature scheme based on discrete logarithms. IEEE Transactions on Information Theory. 1984, 31 (4): 469–472.
                      [28] Bhaskar R, Bhowmick A, Goyal V, et al. Noiseless database pivacy, International Conference on the Theory and Application of Cryptology and Information Security. Springer, Berlin, Heidelberg, 2011.
                      [29] Aono Y, Hayashi T, Wang L, et al. Privacy-preserving deep learning via additively homomorphic encryption. IEEE Transactions on Information Forensics and Security, 2017, 13(5):1333-1345.
                      [30] 袁勇, 倪曉春, 曾帥, 王飛躍. 區塊鏈共識算法的發展現狀與展望. 自動化學報, 2018, 44(11): 2011-2022.

                      Yuan Y, Ni X C, Zeng S, Wang F Y. Blockchain consensus algorithms: the state of the art and future trends. Acta Automatica Sinica, 2018, 44(11): 2011-2022.
                      [31] 歐陽麗煒, 王帥, 袁勇, 倪曉春, 王飛躍. 智能合約: 架構及進展. 自動化學報, 2019, 45(3): 445-457.

                      Ouyang L W, Wang S, Yuan Y, Ni X C, Wang F Y. Smart contracts: architecture and research progresses. Acta Automatica Sinica, 2019c 45(3): 445-457.
                      [32] 李芳,李卓然,趙赫. 區塊鏈跨鏈技術進展研究. 軟件學報, 2019, 30(6):1649-1660.

                      Li F, Li Z R, Zhao H. Research on the progress in cross-chain technology of blockchains. Journal of Software, 2019, 30(6):1649-1660.
                      [33] 王飛躍, 袁勇, 王帥, 李娟娟, 秦蕊. 軍事區塊鏈: 從不對稱的戰爭到對稱的和平. 指揮與控制學報, 2018, 4(3): 175-182. doi: 10.3969/j.issn.2096-0204.2018.03.0175

                      Wang F Y, Yuan Y, Wang S, Li J J, Qin R. Military blockchain: from asymmetric warfare to symmetric peace. Journal of Command and Control, 2018, 4(3): 175-182. doi: 10.3969/j.issn.2096-0204.2018.03.0175
                      [34] Li L, Huang W L, Liu Y H, Zheng N N, Wang F Y. Intelligence testing for autonomous vehicles: a new approach. IEEE Transactions on Intelligent Vehicles, 2016, 1(2): 158-166 doi: 10.1109/TIV.2016.2608003
                      [35] 王曉, 要婷婷, 韓雙雙, 曹東璞, 王飛躍. 平行車聯網: 基于ACP 的智能車輛網聯管理與控制. 自動化學報, 2018, 44(8): 1391-1404.

                      Wang X, Yao T T, Han S S, Cao D P, Wang F Y. Parallel internet of vehicles: the ACP-based networked management and control for intelligent vehicles. Acta Automatica Sinica, 2018, 44(8): 1391-1404.
                      [36] Lev-Ari K, Bortnikov E, Keidar I. Modular Composition of Coordination Services. In: Proceedings of the 2016 USENIX Annual Technical Conference, Denver, USA, 2016. 251?264
                    • 加載中
                    圖(8)
                    計量
                    • 文章訪問數:  153
                    • HTML全文瀏覽量:  108
                    • PDF下載量:  81
                    • 被引次數: 0
                    出版歷程
                    • 收稿日期:  2021-03-08
                    • 網絡出版日期:  2021-06-15
                    • 刊出日期:  2021-08-20

                    目錄

                      /

                      返回文章
                      返回