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PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association Studies [PDF]

open access: yesNature Communications
Genome-wide association studies help uncover genetic influences on complex traits and diseases. Importantly, multi-site data collaborations enhance the statistical power of these studies but pose challenges due to the sensitivity of genomic data ...
Arjhun Swaminathan   +4 more
doaj   +2 more sources

Privacy preserving data visualizations [PDF]

open access: yesEPJ Data Science, 2021
Data visualizations are a valuable tool used during both statistical analysis and the interpretation of results as they graphically reveal useful information about the structure, properties and relationships between variables, which may otherwise be ...
Demetris Avraam   +7 more
doaj   +5 more sources

Privacy-Preserving Data Mining and Analytics in Big Data [PDF]

open access: yesE3S Web of Conferences, 2023
Privacy concerns have gotten more attention as Big Data has spread. The difficulties of striking a balance between the value of data and individual privacy have led to the emergence of privacy-preserving data mining and analytics approaches as a crucial ...
Basha M. John   +6 more
doaj   +1 more source

Privacy Preserving Data Mining Using Random Decision Tree Over Partition Data: Survey [PDF]

open access: yesITM Web of Conferences, 2022
The development of data mining with data protection and data utility can manage distributed data efficiently. This paper revisits the concepts and techniques of privacy-preserving Random Decision Tree (RDT).
Othman Nashwan Adnan   +1 more
doaj   +1 more source

Review of Privacy-preserving Mechanisms in Crowdsensing [PDF]

open access: yesJisuanji kexue, 2022
In recent years,the rapid popularity of intelligent terminals has greatly promoted the development of crowdsensing service paradigm,which integrates data collection,analysis and processing.As a necessary base to ensure the safe operation of services and ...
LI Li, HE Xin, HAN Zhi-jie
doaj   +1 more source

A Privacy-Preserving Scheme for Smart Grid Using Trusted Execution Environment

open access: yesIEEE Access, 2023
The increasing transformation from the legacy power grid to the smart grid brings new opportunities and challenges to power system operations. Bidirectional communications between home-area devices and the distribution system empower smart grid ...
Mete Akgun   +2 more
doaj   +1 more source

Polar Codes for Module-LWE Public Key Encryption: The Case of Kyber

open access: yesCryptography, 2023
In modern society, the Internet is one of the most used means of communication. Thus, secure information transfer is inevitably of major importance.
Iason Papadopoulos, Jiabo Wang
doaj   +1 more source

Efficient Privacy-Preserving K-Means Clustering from Secret-Sharing-Based Secure Three-Party Computation

open access: yesEntropy, 2022
Privacy-preserving machine learning has become an important study at present due to privacy policies. However, the efficiency gap between the plain-text algorithm and its privacy-preserving version still exists.
Weiming Wei, Chunming Tang, Yucheng Chen
doaj   +1 more source

Privacy-Preserving Bin-Packing With Differential Privacy

open access: yesIEEE Open Journal of Signal Processing, 2022
With the emerging of e-commerce, package theft is at a high level: It is reported that 1.7 million packages are stolen or lost every day in the U.S. in 2020, which costs $25 million every day for the lost packages and the service.
Tianyu Li   +2 more
doaj   +1 more source

Privacy-preserving association rule mining via multi-key fully homomorphic encryption

open access: yesJournal of King Saud University: Computer and Information Sciences, 2023
Association rule mining is an efficient method to mine the association relationships between different items from large transaction databases, but is vulnerable to privacy leakage as operates over users’ sensitive data directly.
Peiheng Jia   +4 more
doaj   +1 more source

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