Solving Data Trading Dilemma with Asymmetric Incomplete Information Using Zero-Determinant Strategy

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...

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Published inWireless Algorithms, Systems, and Applications Vol. 10874; pp. 425 - 437
Main Authors Sooksatra, Korn, Li, Wei, Mei, Bo, Alrawais, Arwa, Wang, Shengling, Yu, Jiguo
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 01.01.2018
Springer International Publishing
SeriesLecture Notes in Computer Science
Online AccessGet full text
ISBN3319942670
9783319942674
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-94268-1_35

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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.
AbstractList 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.
Author Li, Wei
Wang, Shengling
Alrawais, Arwa
Mei, Bo
Yu, Jiguo
Sooksatra, Korn
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Title Solving Data Trading Dilemma with Asymmetric Incomplete Information Using Zero-Determinant Strategy
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