Results 21 to 30 of about 2,322,677 (316)
International Journal of Population Data Science, 2022 Objectives The UK Longitudinal Linkage Collaboration (UK LLC) is a new, unprecedented infrastructure enabling research into the COVID-19 pandemic.
Robin Flaig +7 more
doaj +1 more source
IoT Access Control Model Based on Blockchain and Trusted Execution Environment
Processes, 2023 With the application and popularization of the Internet of Things (IoT), while the IoT devices bring us intelligence and convenience, the privacy protection issue has gradually attracted people’s attention.
Weijin Jiang +4 more
semanticscholar +1 more source
Data & Policy, 2023 This work explores the use of Trusted Research Environments for the secure analysis of sensitive, record-level data on local coronavirus disease-2019 (COVID-19) inequalities and economic vulnerabilities. The Local Data Spaces (LDS) project was a targeted
Jacob L. Macdonald +5 more
doaj +1 more source
Privacy-Preserving Genotype Imputation in a Trusted Execution Environment
bioRxiv, 2021 Genotype imputation is an essential tool in genetics research, whereby missing genotypes are inferred based on a panel of reference genomes to enhance the power of downstream analyses.
Natnatee Dokmai +5 more
semanticscholar +1 more source
International Journal of Population Data Science, 2022 Objectives The COVID-19 Longitudinal Health and Wellbeing National Core Study utilises data from Longitudinal Population Studies (LPS) and whole-population NHS databases: yet no resource existed linking multiple LPS to COVID-19 records.
Andy Boyd +7 more
doaj +1 more source
Environmental pre-requisites and social interchange : the participation experience of adolescents with autism spectrum disorder in Zurich [PDF]
, 2020 Aim: Participation of adolescents with autism spectrum disorder hardly occurs in settings outside of home and school. Little is known about how their participation is influenced by environmental factors.
Beurskens, Anna +4 more
core +1 more source
Machine learning models in trusted research environments -- understanding operational risks
International Journal of Population Data Science, 2023 IntroductionTrusted research environments (TREs) provide secure access to very sensitive data for research. All TREs operate manual checks on outputs to ensure there is no residual disclosure risk. Machine learning (ML) models require very large amount of data; if this data is personal, the TRE is a well-established data management solution.
Felix Ritchie +7 more
openaire +4 more sources
Trust Model Research in Cloud Computing Environment [PDF]
Advances in Computer Science Research, 2015 The trust evaluation research in cloud computing has been involved in the node security communication, security storage, resource allocation and many other aspects.As an effective replacement oftraditional networksecurity,trust mechanismhas effectively solved the security problems of distributed computing, such as grid computing, pervasive computing ...
Changqing Gong, Xiguang Li, Haiyang Ding
openaire +1 more source
Exploiting code mobility for dynamic binary obfuscation [PDF]
, 2011 Software protection aims at protecting the integrity of software applications deployed on un-trusted hosts and being subject to illegal analysis. Within an un-trusted environment a possibly malicious user has complete access to system resources and tools
Barberis, Davide +4 more
core +2 more sources
Research on Embedded Dual Operating System Architecture Based on Trusted Execution Environment [PDF]
Jisuanji gongcheng, 2019 To address the requirements of the embedded systems for functionality and real-time performance,this paper presents a dual operating system architecture.Based on the trusted execution environment provided by ARM TrustZone,the dual operating system ...
MENG Ziqi,ZHANG Qianying,SHI Zhiping,GUAN Yong
doaj +1 more source