Results 11 to 20 of about 115,587 (210)

Privacy-enhanced Federated Learning Algorithm Against Inference Attack [PDF]

Jisuanji kexue, 2023
In federated learning,each distributed client does not need to transmit local training data,the central server jointly trains the global model by gradient collection,it has good performance and privacy protection advantages.However,it has been ...
ZHAO Yuhao, CHEN Siguang, SU Jian
doaj   +1 more source

An Enhanced Location Scattering Based Privacy Protection Scheme

IEEE Access, 2022
Consumer privacy-preserving is a major concern in location-based services (LBSs). The paramount problem in LBSs is the disclosure of a user’s actual location while interacting with the location-based service provider (LSP).
Nisha Nisha, Iynkaran Natgunanathan, Yong Xiang   +2 more
doaj   +1 more source

An Efficient Dummy-Based Location Privacy-Preserving Scheme for Internet of Things Services

Information, 2019
With the rapid development of GPS-equipped smart mobile devices and mobile computing, location-based services (LBS) are increasing in popularity in the Internet of Things (IoT).
Yongwen Du, Gang Cai, Xuejun Zhang, Ting Liu, Jinghua Jiang   +4 more
doaj   +1 more source

Acoustic assessment of speech privacy curtains in two nursing units

Noise and Health, 2016
Hospitals have complex soundscapes that create challenges to patient care. Extraneous noise and high reverberation rates impair speech intelligibility, which leads to raised voices.
Diana S Pope, Erik T Miller-Klein
doaj   +1 more source

Internet Users’ Valuation of Enhanced Data Protection on Social Media: Which Aspects of Privacy Are Worth the Most?

Frontiers in Psychology, 2018
As the development of the Internet and social media has led to pervasive data collection and usage practices, consumers’ privacy concerns have increasingly grown stronger.
Jasmin Mahmoodi, Jitka Čurdová, Christoph Henking, Marvin Kunz, Karla Matić, Peter Mohr, Maja Vovko   +6 more
doaj   +1 more source

Data analysis with performance and privacy enhanced classification

Journal of Intelligent Systems, 2023
Privacy is the main concern in cyberspace because, every single click of a user on Internet is recognized and analyzed for different purposes like credit card purchase records, healthcare records, business, personalized shopping store experience to the ...
Tajanpure Rupali, Muddana Akkalakshmi
doaj   +1 more source

E-DPNCT: an enhanced attack resilient differential privacy model for smart grids using split noise cancellation

Scientific Reports, 2023
High frequency reporting of energy consumption data in smart grids can be used to infer sensitive information regarding the consumer’s life style and poses serious security and privacy threats.
Khadija Hafeez, Donna O’Shea, Thomas Newe, Mubashir Husain Rehmani   +3 more
doaj   +1 more source

Privacy-Enhanced Federated Learning for Non-IID Data

Mathematics, 2023
Federated learning (FL) allows the collaborative training of a collective model by a vast number of decentralized clients while ensuring that these clients’ data remain private and are not shared. In practical situations, the training data utilized in FL
Qingjie Tan, Shuhui Wu, Yuanhong Tao
doaj   +1 more source

Comprehensive location privacy enhanced model

iScience
Summary: With the increasing popularity of location-based services (LBSs), safeguarding location privacy has become critically important. Traditional methods often struggle to balance the intensity of privacy protection with service quality.
Haohua Qing, Roliana Ibrahim, Hui Wen Nies   +2 more
doaj   +1 more source

Survey of big-data-analysis-resistant privacy protection

网络与信息安全学报, 2016
Privacy protection plays a significant role in big data era for data sharing and analysis.Traditional privacy protection approaches may not apply well for big data scenarios,because there may exist deep associations which can also cause privacy leakages ...
Wei TONG,AOYun-long M,Qing-jun CEHN,Bin-ru WANG,Bao-jia ZHANG,Sheng ZHONG
doaj   +3 more sources