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IEEE Transactions on Network Science and Engineering, 2021
With the evolution of the Internet of Things (IoT), smart cities have become the mainstream of urbanization. IoT networks allow distributed smart devices to collect and process data within smart city infrastructure using an open channel, the Internet ...
P. Kumar+6 more
semanticscholar +1 more source
With the evolution of the Internet of Things (IoT), smart cities have become the mainstream of urbanization. IoT networks allow distributed smart devices to collect and process data within smart city infrastructure using an open channel, the Internet ...
P. Kumar+6 more
semanticscholar +1 more source
On Privacy-Preserving Cloud Auction
2016 IEEE 35th Symposium on Reliable Distributed Systems (SRDS), 2016Due to perceived fairness and allocation efficiency, cloud auctions for resource allocation and pricing have recently attracted significant attention. As an important economic property, truthfulness makes bidders reveal their true valuations for cloud resources to maximize their utilities.
Chen, Zhili+3 more
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A Federated Learning Based Privacy-Preserving Smart Healthcare System
IEEE Transactions on Industrial Informatics, 2021The rapid development of the smart healthcare system makes the early-stage detection of dementia disease more user-friendly and affordable. However, the main concern is the potential serious privacy leakage of the system.
Jiachun Li+6 more
semanticscholar +1 more source
Privacy-Preserving Outsourced Profiling
2010 IEEE 12th Conference on Commerce and Enterprise Computing, 2010Personalized services attract high-value customers. Knowing the preferences and habits of an individual customer, it is possible to offer to that customer well customized and adapted services, matching his needs and desires. This is advantageous for the entity offering the service (e.g., a retailer) as well, as it helps in creating additional sales or ...
Biswas D., Haller S., Kerschbaum F.
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Privacy-Preserving Trust Negotiations
2005Trust negotiation is a promising approach for establishing trust in open systems, where sensitive interactions may often occur between entities with no prior knowledge of each other. Although several proposals today exist of systems for the management of trust negotiations none of them addresses in a comprehensive way the problem of privacy ...
ELISA BERTINO+2 more
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PACE: Privacy-Preserving and Quality-Aware Incentive Mechanism for Mobile Crowdsensing
IEEE Transactions on Mobile Computing, 2021Providing appropriate monetary rewards is an efficient way for mobile crowdsensing to motivate the participation of task participants. However, a monetary incentive mechanism is generally challenging to prevent malicious task participants and a dishonest
Bowen Zhao+3 more
semanticscholar +1 more source
IEEE Transactions on Neural Networks and Learning Systems, 2021
The privacy-preserving federated learning for vertically partitioned (VP) data has shown promising results as the solution of the emerging multiparty joint modeling application, in which the data holders (such as government branches, private finance, and
Bin Gu+4 more
semanticscholar +1 more source
The privacy-preserving federated learning for vertically partitioned (VP) data has shown promising results as the solution of the emerging multiparty joint modeling application, in which the data holders (such as government branches, private finance, and
Bin Gu+4 more
semanticscholar +1 more source
Privacy-Preserving Task Recommendation Services for Crowdsourcing
IEEE Transactions on Services Computing, 2021Crowdsourcing is a distributed computing paradigm that utilizes human intelligence or resources from a crowd of workers. Existing solutions of task recommendation in crowdsourcing may leak private and sensitive information about both tasks and workers ...
Jiangang Shu, X. Jia, Kan Yang, Hua Wang
semanticscholar +1 more source
The goals of learning from user data and preserving user privacy are often considered to be in conflict. This presentation will demonstrate that there are contexts when provable privacy guarantees can be an enabler for better web search and data mining (WSDM), and can empower researchers hoping to change the world by mining sensitive user data.
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Proceedings of the 9th Symposium on Identity and Trust on the Internet, 2010
This paper describes and contrasts two families of schemes that enable a user to purchase digital content without revealing to anyone what item he has purchased. One of the basic schemes is based on anonymous cash, and the other on blind decryption.
Charlie Kaufman+2 more
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This paper describes and contrasts two families of schemes that enable a user to purchase digital content without revealing to anyone what item he has purchased. One of the basic schemes is based on anonymous cash, and the other on blind decryption.
Charlie Kaufman+2 more
openaire +2 more sources