Paper Info
Title
Solving Data Trading Dilemma With Asymmetric Incomplete Information Using Zero-Determinant Strategy
Abstract
Trading data between user and service provider is a promising and efficient method to promote information exchange, service quality improvement, and development of emerging applications, benefiting individual and society. Meanwhile, data resale (i.e., data secondary use) is one of the most critical privacy issues hindering the ongoing process of data trading, which, unfortunately, is ignored in many of the existing privacy-preserving schemes. In this paper, we tackle the issue of data resale from a special angle, i.e., promoting cooperation between user and service provider to prevent data secondary use. For this purpose, we design a novel game-theoretical algorithm, in which user can unilaterally persuade service provider to cooperate in data trading, achieving a "win-win" situation. Besides, we validate our proposed algorithm performance through in-depth theoretical analysis and comprehensive simulations.
Year
DOI
Venue
2018
10.1007/978-3-319-94268-1_35
WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS (WASA 2018)
Field
DocType
Volume
Service quality,Computer security,Computer science,Information exchange,Computer network,Service provider,Dilemma,Complete information
Conference
10874
ISSN
Citations 
PageRank 
0302-9743
1
0.36
References 
Authors
7
6
Name
Order
Citations
PageRank
Korn Sooksatra110.70
Wei Li210.70
Bo Mei310.70
Arwa Alrawais412410.08
Shengling Wang531237.32
Jiguo Yu6688108.74