Intelligent System for Distributed Social Governance Based on Big Data

被引：0
作者：
Lü W.-F. [1 ,2 ,3 ,6 ]
Zheng Z.-M. [1 ,3 ,4 ,5 ,6 ,7 ]
Tong Y.-X. [1 ,2 ,6 ]
Zhang R.-S. [1 ,2 ,6 ]
Wei S.-Y. [1 ,2 ,6 ]
Li W.-H. [1 ,4 ,5 ,7 ]
机构：
[1] State Key Laboratory of Software Development Enviroment, Beihang University, Beijing
[2] School of Computer Science and Engineering, Beihang University, Beijing
[3] Institute of Artficial Intelligence, Beihang University, Beijing
[4] School of Mathematics Sciences, Beihang University, Beijing
[5] Key Laboratory of Mathematics, Informatics and Behavioral Semantics, Beihang University, Ministry of Education, Beijing
[6] Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing
[7] Peng Cheng Laboratory, Shenzhen
来源：
Ruan Jian Xue Bao/Journal of Software | 2022年 / 33卷 / 03期
关键词：
Big data system; Blockchain; Distributed system; Refined intelligence; Social governance;
D O I：
10.13328/j.cnki.jos.006455
中图分类号：
学科分类号：
摘要：
In recent years, promoting the synergy and intelligence of social governance, and improving the social governance system of co-construction, co-governance and sharing are important development directions for the country. As a production factor, data plays an increasingly critical role in social governance. How to realize the secure query, collaborative management, and intelligent analysis of multi-party massive data is the key issue to improve the effectiveness of social governance. In major public events such as the prevention and control of the COVID-19, distributed social governance faces low computing efficiency, poor multi-party credible coordination, and difficult decision-making for complex tasks. In response to the above challenges, this study proposes on big data based distributed social governance intelligent system based on secure multi-party computing, blockchain technology, and precise intelligence theory. The proposed system can support various applications of social governance that provide decision-making support for the improvement of social governance in the new era. © Copyright 2022, Institute of Software, the Chinese Academy of Sciences. All rights reserved.
引用
收藏
页码：931 / 949
页数：18
相关论文
共 42 条
[1]  
Chen S., What new opportunities and challenges are facing social governance in the context of the new round of scientific and technological revolution, Governance, 43, pp. 34-38, (2019)
[2]  
Zhang Y., Take the road of socialist social governance with Chinese characteristics, Qiushi, 6, pp. 57-58, (2018)
[3]  
Yao AC., Protocols for secure computations, Proc. of the 23rd Annual Symp. on Foundations of Computer Science, pp. 160-164, (1982)
[4]  
Beimel A., Secret-sharing schemes: A survey, Proc. of the 2011 Int’l Conf. on Coding and Cryptology, pp. 11-46, (2011)
[5]  
Li FF, Hadjieleftheriou M, Kollios G, Reyzin L., Dynamic authenticated index structures for outsourced databases, Proc. of the 2006 ACM SIGMOD Int’l Conf. on Management of Data, pp. 121-132, (2006)
[6]  
Miller A, Hicks M, Katz J, Shi E., Authenticated data structures, generically, Proc. of the Symp. on Principles of Programming Languages, pp. 411-424, (2014)
[7]  
Yang Y, Papadias D, Papadopoulos S, Kalnis P., Authenticated join processing in outsourced databases, Proc. of the 2009 ACM SIGMOD Int’l Conf. on Management of Data, pp. 5-18, (2009)
[8]  
Yin M, Malkhi D, Reiter MK, Gueta GG, Abraham I., Hotstuff: BFT consensus with linearity and responsiveness, Proc. of the 2019 ACM Symp. on Principles of Distributed Computing, pp. 347-356, (2019)
[9]  
Li W, Tang S, Pei S, Yan S, Jiang S, Teng X, Zheng Z., The rumor diffusion process with emerging independent spreaders in complex networks, Physica A: Statistical Mechanics and Its Applications, 397, pp. 121-128, (2014)
[10]  
Ma K, Li W, Guo Q, Zheng X, Zheng Z, Gao C, Tang S., Information spreading in complex networks with participation of independent spreaders, Physica A: Statistical Mechanics and Its Applications, 492, pp. 21-27, (2018)
12345