A new differential privacy preserving crowdsensing scheme based on the Owen value
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[1] Jian Lin,et al. BidGuard: A framework for privacy-preserving crowdsensing incentive mechanisms , 2016, 2016 IEEE Conference on Communications and Network Security (CNS).
[2] Gustavo Bergantiños,et al. An implementation of the Owen value , 2003, Games Econ. Behav..
[3] Javier Bustos-Jiménez,et al. A three-layer approach for protecting smart-citizens privacy in crowdsensing projects , 2015, 2015 34th International Conference of the Chilean Computer Science Society (SCCC).
[4] Jong Kim,et al. Differential Privacy in Practice , 2013, J. Comput. Sci. Eng..
[5] Dingqi Yang,et al. Differential Location Privacy for Sparse Mobile Crowdsensing , 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).
[6] Luigi Atzori,et al. A SIoT-aware approach to the resource management issue in mobile crowdsensing , 2017, 2017 20th Conference on Innovations in Clouds, Internet and Networks (ICIN).
[7] Moo Wan Kim,et al. Adaptive QoS Mechanism for Wireless Mobile Network , 2010, J. Comput. Sci. Eng..
[8] Athanasios V. Vasilakos,et al. A Survey of Security and Privacy Challenges in Cloud Computing: Solutions and Future Directions , 2015, J. Comput. Sci. Eng..
[9] Dzmitry Kliazovich,et al. Sociability-Driven User Recruitment in Mobile Crowdsensing Internet of Things Platforms , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).
[10] Quan-Lin Li,et al. The Owen Value of Stochastic Cooperative Game , 2014, TheScientificWorldJournal.
[11] Guisheng Yin,et al. Practical Incentive Mechanisms for IoT-Based Mobile Crowdsensing Systems , 2017, IEEE Access.
[12] Akihiko Ohsuga,et al. Differential Private Data Collection and Analysis Based on Randomized Multiple Dummies for Untrusted Mobile Crowdsensing , 2017, IEEE Transactions on Information Forensics and Security.
[13] Mikhail Belkin,et al. Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices , 2015, 2015 IEEE 35th International Conference on Distributed Computing Systems.
[14] Dusit Niyato,et al. A Cooperative Game Framework for Bandwidth Allocation in 4G Heterogeneous Wireless Networks , 2006, 2006 IEEE International Conference on Communications.
[15] Sungwook Kim,et al. Game Theory Applications in Network Design , 2014 .
[16] Hyunsoo Yoon,et al. A Survey on Communication Protocols for Wireless Sensor Networks , 2013, J. Comput. Sci. Eng..
[17] Sagar Naik,et al. A new fairness index for radio resource allocation in wireless networks , 2005, IEEE Wireless Communications and Networking Conference, 2005.
[18] Murat Kantarcioglu,et al. Security and privacy trade-offs in CPS by leveraging inherent differential privacy , 2017, 2017 IEEE Conference on Control Technology and Applications (CCTA).
[19] Hai Liu,et al. A Differential Privacy Incentive Compatible Mechanism and Equilibrium Analysis , 2016, 2016 International Conference on Networking and Network Applications (NaNA).
[20] Xiang Li,et al. A Survey of Security Mechanisms with Direct Sequence Spread Spectrum Signals , 2013, J. Comput. Sci. Eng..
[21] Zhu Han,et al. The Accuracy-Privacy Trade-off of Mobile Crowdsensing , 2017, IEEE Communications Magazine.
[22] Dzmitry Kliazovich,et al. Game-Theoretic Recruitment of Sensing Service Providers for Trustworthy Cloud-Centric Internet-of-Things (IoT) Applications , 2016, 2016 IEEE Globecom Workshops (GC Wkshps).
[23] Yahui Yu,et al. The Exponential Diophantine Equation 2x + b y = c z , 2014, TheScientificWorldJournal.
[24] M. Gloria Fiestras-Janeiro,et al. Cooperative Games and Coalition Cohesion Indices: The Choquet–Owen Value , 2016, IEEE Transactions on Fuzzy Systems.
[25] Hai Jin,et al. Differentially Private Online Learning for Cloud-Based Video Recommendation With Multimedia Big Data in Social Networks , 2015, IEEE Transactions on Multimedia.
[26] Silvia Lorenzo-Freire,et al. On new characterizations of the Owen value , 2016, Oper. Res. Lett..
[27] 姚志强,et al. Privacy Protection-oriented Mobile Crowdsensing Analysis Based on Game Theory , 2017 .
[28] Haiying Shen,et al. A Survey of Mobile Crowdsensing Techniques: A Critical Component for the Internet of Things , 2016, ICCCN.
[29] Ran Wolff,et al. Preface for the Special Issue on Privacy-Aspects of Data Mining , 2011 .