Extensive Form Game Analysis Based on Context Privacy Preservation for Smart Phone Applications

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• 关键词：Context ; aware ; Privacy protection ; Mobile application ; Game theory
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9798
• 期：1
• 页码：389-400
• 全文大小：698 KB
• 参考文献：1.Duan, Z., Yan, M., Cai, Z., Wang, X., Han, M., Li, Y.: Truthful incentive mechanisms for social cost minimization in mobile crowdsourcing systems. Sensors 16(4), 481 (2016)CrossRef
  2.Götz, M., Nath, S., Gehrke, J.: MaskIt: privately releasing user context streams for personalized mobile applications. In: Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data, pp. 289–300. ACM (2012)
  3.Groat, M.M., He, W., Forrest, S.: KIPDA: k-indistinguishable privacy-preserving data aggregation in wireless sensor networks. In: INFOCOM, 2011 Proceedings IEEE, pp. 2024–2032. IEEE (2011)
  4.Hu, W., Chunqiang, L., Huang, S.: Message in a concealed bottle: achieving query content privacy with accurate location-based services. In: Privacy Enhancing Technologies Symposium (2016, submitted)
  5.Narayanan, A., Thiagarajan, N., Lakhani, M., Hamburg, M., Boneh, D.: Location privacy via private proximity testing. In: NDSS (2011)
  6.Shin, M., Cornelius, C., Peebles, D., Kapadia, A., Kotz, D., Triandopoulos, N.: Anonysense: a system for anonymous opportunistic sensing. Pervasive Mob. Comput. 7(1), 16–30 (2011)CrossRef
  7.Vu, K., Zheng, R., Gao, L.: Efficient algorithms for k-anonymous location privacy in participatory sensing. In: INFOCOM, 2012 Proceedings IEEE, pp. 2399–2407. IEEE (2012)
  8.Wang, W., Zhang, Q.: A stochastic game for privacy preserving context sensing on mobile phone. In: INFOCOM, 2014 Proceedings IEEE, pp. 2328–2336. IEEE (2014)
  9.Wang, Y., Cai, Z., Yin, G., Gao, Y., Tong, X., Wu, G.: An incentive mechanism with privacy protection in mobile crowdsourcing systems. Comput. Netw. 102, 157–171 (2016)CrossRef
  10.Westhoff, D., Girao, J., Acharya, M.: Concealed data aggregation for reverse multicast traffic in sensor networks: encryption, key distribution, and routing adaptation. IEEE Trans. Mob. Comput. 5(10), 1417–1431 (2006)CrossRef
  11.Yang, P., Cao, Z., Dong, X., Zia, T.A.: An efficient privacy preserving data aggregation scheme with constant communication overheads for wireless sensor networks. Commun. Lett. IEEE 15(11), 1205–1207 (2011)CrossRef
  12.Zhang, L., Cai, Z., Wang, X.: Fakemask: a novel privacy preserving approach for smartphones
  
• 作者单位：Luyun Li (16)
  Shengling Wang (16)
  Junqi Guo (16)
  Rongfang Bie (16)
  Kai Lin (17)
  
  16. College of Information Science and Technology, Beijing Normal University, Beijing, China
  17. Telecommunications Engineering with Management, International School, Beijing University of Posts and Telecommunications, Beijing, China
  
• 丛书名：Wireless Algorithms, Systems, and Applications
• ISBN：978-3-319-42836-9
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9798

文摘

The sensing capabilities of the smart phones gave birth to context-aware applications, which can provide personalized services based on users’ contexts. Since context-aware applications may sell contexts to some malicious third-parties, the exposure of contexts will handicap the development of context-aware applications in large scale. Nevertheless, it is challenging to solve the context privacy issue, because the users of the context-aware applications should trade off between service quality and privacy exposure. Nowadays, most privacy protection techniques for mobile applications neglect the context preservation. Meanwhile, limited work on context privacy doesn’t consider the applications’ strategies, which are key factors on user’s context privacy preservation. In this paper, we make a tradeoff analysis on behaviours of the user, the application and the adversary, and then we use extensive form game to formulate the decision-marking process of these three parties. After constructing payoff functions for them, we solve and analyse their Nash equilibriums. Our study shows that the key of context privacy preservation is to establish a sound reputation mechanism for context-aware applications, through which the issue of context privacy can be eliminated utterly. As a consequence, a trust between users and mobile applications can be built.