Blockchain-Assisted Cross-Domain Data Governance for Social Computing

被引:0
作者
Zeng, Shulei [1 ,2 ]
Sun, Yao [3 ]
Peng, Mugen [1 ,2 ]
机构
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
[2] Sci & Technol Commun Networks Lab, Beijing, Peoples R China
[3] Univ Glasgow, Sch James Watt, Sch Engn, Glasgow, Lanark, Scotland
来源
2024 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS, ICNC | 2024年
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Blockchain; social computing; data governance; data privacy; zero-knowledge proof; PROOFS; MODEL;
D O I
10.1109/CNC59896.2024.10555961
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the vigorous development of the social network, massive data have generated by large amount of users. To utilize these data, social computing is widely used. However, due to the conflict between proprietary data and the use of data, it is a challenge to fully obtain data value in an efficient and legal way. Moreover, how to manage, govern and schedule data, a technical and feasible approach is still a major problem. To this end, as an emerging distributed ledger technology, blockchain is considered a promising technology for data security and privacy and is introduced for cross-domain data governance. In this paper, we propose a blockchain-assisted cross-domain data sharing scheme for social computing data governance. Specifically, permissioned blockchain is introduced to construct trust among different parties. A zero-knowledge proof scheme is designed to verify data ownership confidentially and anonymously. The security of the zero-knowledge proof scheme is also analyzed. The extensive simulations and experiments have proven the effectiveness and efficiency of the mechanism.
引用
收藏
页码:915 / 920
页数:6
相关论文
共 23 条
[1]   Data governance: A conceptual framework, structured review, and research agenda [J].
Abraham, Rene ;
Schneider, Johannes ;
vom Brocke, Jan .
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2019, 49 :424-438
[2]   EdgeMediChain: A Hybrid Edge Blockchain-Based Framework for Health Data Exchange [J].
Akkaoui, Raifa ;
Hei, Xiaojun ;
Cheng, Wenqing .
IEEE ACCESS, 2020, 8 :113467-113486
[3]   Critical Success Factors for Data Governance: A Theory Building Approach [J].
Alhassan, Ibrahim ;
Sammon, David ;
Daly, Mary .
INFORMATION SYSTEMS MANAGEMENT, 2019, 36 (02) :98-110
[4]   GA-DCTSP: An Intelligent Active Data Processing Scheme for UAV-Enabled Edge Computing [J].
Bai, Jing ;
Huang, Guosheng ;
Zhang, Shaobo ;
Zeng, Zhiwen ;
Liu, Anfeng .
IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (06) :4891-4906
[5]  
Ben-Sasson E, 2013, LECT NOTES COMPUT SC, V8043, P90, DOI 10.1007/978-3-642-40084-1_6
[6]   Data Governance as a Collective Action Problem [J].
Benfeldt, Olivia ;
Persson, John Stouby ;
Madsen, Sabine .
INFORMATION SYSTEMS FRONTIERS, 2020, 22 (02) :299-313
[7]   MINIMUM DISCLOSURE PROOFS OF KNOWLEDGE [J].
BRASSARD, G ;
CHAUM, D ;
CREPEAU, C .
JOURNAL OF COMPUTER AND SYSTEM SCIENCES, 1988, 37 (02) :156-189
[8]   Bulletproofs: Short Proofs for Confidential Transactions and More [J].
Bunz, Benedikt ;
Bootle, Jonathan ;
Boneh, Dan ;
Poelstra, Andrew ;
Wuille, Pieter ;
Maxwell, Greg .
2018 IEEE SYMPOSIUM ON SECURITY AND PRIVACY (SP), 2018, :315-334
[9]   Blockchain Systems, Technologies, and Applications: A Methodology Perspective [J].
Cao, Bin ;
Wang, Zixin ;
Zhang, Long ;
Feng, Daquan ;
Peng, Mugen ;
Zhang, Lei ;
Han, Zhu .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2023, 25 (01) :353-385
[10]   Practical byzantine fault tolerance and proactive recovery [J].
Castro, M ;
Liskov, B .
ACM TRANSACTIONS ON COMPUTER SYSTEMS, 2002, 20 (04) :398-461