Results 1 to 10 of about 104,369 (254)
Matching Optimization for Automated Negotiation: From a Privacy-Enhanced Data Modeling Perspective
MathematicsAutomated negotiation in multi-agent electronic commerce environments relies heavily on efficient and reliable matching mechanisms to connect negotiation participants.
Ya Zhang, Ruiyang Cao, Jinghua Wu
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Enhanced Location K-anonymity Privacy Protection Scheme Based on Geohash [PDF]
Jisuanji kexueWith the wide application of LBS,location privacy protection is imperative.In recent years,location k-anonymity solution has become a research hotpot which is widely used.However,k-anonymity schemes are vulnerable to background knowledge attacks.Although
LI Yongjun, ZHU Yuefei, BAI Lifang
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Privacy-enhancing technologies and privacy-enhancing cryptography for wearables
In response to escalating privacy concerns and the need for secure digital communication, cryptographic mechanisms have been developed to ensure impervious information exchange. However, traditional cryptographic approaches are inadequate in dynamic and resource-constrained environments, such as wearable devices.
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A deep decentralized privacy-preservation framework for online social networks
Blockchain: Research and ApplicationsThis paper addresses the critical challenge of privacy in Online Social Networks (OSNs), where centralized designs compromise user privacy. We propose a novel privacy-preservation framework that integrates blockchain technology with deep learning to ...
Samuel Akwasi Frimpong +5 more
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An Enhanced Communication Protocol for Location Privacy in WSN
International Journal of Distributed Sensor Networks, 2015 Wireless sensor network (WSN) is built of many sensor nodes. The sensors can sense a phenomenon, which will be represented in a form of data and sent to an aggregator for further processing.
Abdel-Shakour Abuzneid +2 more
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IEEE AccessFederated learning (FL) is a distributed machine learning method where multiple devices collaboratively train a model under the management of a central server without sharing underlying data.
Emre Ardic, Yakup Genc
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Privacy-Preserving Enhanced Collaborative Tagging
IEEE Transactions on Knowledge and Data Engineering, 2014 Collaborative tagging is one of the most popular services available online, and it allows end user to loosely classify either online or offline resources based on their feedback, expressed in the form of free-text labels (i.e., tags). Although tags may not be per se sensitive information, the wide use of collaborative tagging services increases the ...
Parra Arnau, Javier +4 more
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Secure and Privacy Enhanced Gait Authentication on Smart Phone
The Scientific World Journal, 2014 Smart environments established by the development of mobile technology have brought vast benefits to human being. However, authentication mechanisms on portable smart devices, particularly conventional biometric based approaches, still remain security ...
Thang Hoang, Deokjai Choi
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Evaluating the Impact of Mobility on Differentially Private Federated Learning
Applied SciencesThis paper investigates differential privacy in federated learning. This topic has been actively examined in conventional network environments, but few studies have investigated it in the Internet of Vehicles, especially considering various mobility ...
Eun-ji Kim, Eun-Kyu Lee
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International Journal of CommunicationAlgorithm-driven social media platforms are increasingly designed to deliver personalized health content that caters to users’ varied information needs. However, the opaque collection and use of personal data raise significant privacy concerns.
Mengxue Ou +3 more
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