Results 21 to 30 of about 22,196 (260)
RiPPAS: A Ring-Based Privacy-Preserving Aggregation Scheme in Wireless Sensor Networks
Sensors, 2017 Recently, data privacy in wireless sensor networks (WSNs) has been paid increased attention. The characteristics of WSNs determine that users’ queries are mainly aggregation queries.
Kejia Zhang +3 more
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CoRR, 2018 Ensuring differential privacy of models learned from sensitive user data is an important goal that has been studied extensively in recent years. It is now known that for some basic learning problems, especially those involving high-dimensional data, producing an accurate private model requires much more data than learning without privacy.
Cynthia Dwork, Vitaly Feldman
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Privacy preservation techniques in big data analytics: a survey
Journal of Big Data, 2018 Incredible amounts of data is being generated by various organizations like hospitals, banks, e-commerce, retail and supply chain, etc. by virtue of digital technology.
P. Ram Mohan Rao +2 more
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Privacy Preserving Clustering [PDF]
, 2005 The freedom and transparency of information flow on the Internet has heightened concerns of privacy. Given a set of data items, clustering algorithms group similar items together. Clustering has many applications, such as customerbehavior analysis, targeted marketing, forensics, and bioinformatics. In this paper, we present the design and analysis of a
Somesh Jha +2 more
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Crowdsourced federated learning architecture with personalized privacy preservation
Intelligent and Converged NetworksIn crowdsourced federated learning, differential privacy is commonly used to prevent the aggregation server from recovering training data from the models uploaded by clients to achieve privacy preservation.
Yunfan Xu +3 more
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Preserving Privacy in Production [PDF]
, 2014 In modern manufacturing environments, new technologies are introduced that bring machines, analytics and people closer together. As a consequence, a rise in productivity, flexibility and efficiency is expected. However, these technologies raise new privacy concerns as well.
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Privacy Threats and Privacy Preservation in Multiple Data Releases of High-Dimensional Datasets
ComputersDetermining how to balance data utilities and data privacy when datasets are released to be utilized outside the scope of data-collecting organizations constitutes a major challenge.
Surapon Riyana
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Privacy Preserving Average Consensus [PDF]
IEEE Transactions on Automatic Control, 2014 Average consensus is a widely used algorithm for distributed computing and control, where all the agents in the network constantly communicate and update their states in order to achieve an agreement. This approach could result in an undesirable disclosure of information on the initial state of agent i to the other agents.
Yilin Mo, Richard M. Murray
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World Electric Vehicle JournalElectric vehicle (EV) charging recommendation can significantly improve global planning performance, corresponding to an increasing risk of privacy leakage.
Yiqi Liu, Jiaxin Ju, Zhiyi Li
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Privacy Preserved Cyber-Physical Searching for Information-Centric Intelligent Agriculture
IEEE Open Journal of the Computer Society, 2021 Technological evolution has brought great changes to traditional industries. Nowadays farmers obtain great benefits such as intelligent production and convenient management from intelligent agriculture.
Li Ding +4 more
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