Privacy-Aware Data Trading

The growing threat of personal data breach in trading pinpoints an urgent need to develop countermeasures for preserving individual privacy. state-of-the-art work either endows the collector with responsibility privacy or reports only a privacy-preserving version data. basic assumption former approach that is trustworthy does not always hold true reality, whereas latter reduces value In this paper, we investigate leakage issue from root source. Specifically, take fresh look reverse inferior position provider by making her dominate game solve dilemma trading. To aim, propose noisy-sequentially zero-determinant (NSZD) strategies tailoring classical strategies, originally designed simultaneous-move game, adapt noisy sequential game. NSZD can empower unilaterally set expected payoff enforce positive relationship between and collector's payoffs. Both stimulate rational behave honestly, boosting healthy market. Numerical simulations are used examine impacts key parameters feasible region where be player. Finally, prove cannot employ further market deteriorating leakage.