Privacy Preserving Attribute-Focused Anonymization Scheme for Healthcare Data Publishing
IEEE Access, 2022 Advancements in Industry 4.0 brought tremendous improvements in the healthcare sector, such as better quality of treatment, enhanced communication, remote monitoring, and reduced cost.
J. Andrew Onesimu +4 more
doaj +2 more sources
Privacy-Preserving Continuous Event Data Publishing [PDF]
arXiv, 2021 Process mining enables organizations to discover and analyze their actual processes using event data. Event data can be extracted from any information system supporting operational processes, e.g., SAP. Whereas the data inside such systems is protected using access control mechanisms, the extracted event data contain sensitive information that needs to
Majid Rafiei, Wil M.P. van der Aalst
arxiv +2 more sources
Liberating links between datasets using lightweight data publishing: an example using plant names and the taxonomic literature [PDF]
Biodiversity Data Journal, 2018 Constructing a biodiversity knowledge graph will require making millions of cross links between diversity entities in different datasets. Researchers trying to bootstrap the growth of the biodiversity knowledge graph by constructing databases of links ...
Roderic Page
doaj +4 more sources
Towards mainstreaming of biodiversity data publishing: recommendations of the GBIF Data Publishing Framework Task Group [PDF]
BMC Bioinformatics, 2011 Background Data are the evidentiary basis for scientific hypotheses, analyses and publication, for policy formation and for decision-making. They are essential to the evaluation and testing of results by peer scientists both present and future.
Moritz Tom +7 more
doaj +2 more sources
Improved Generalization for Secure Data Publishing
IEEE Access, 2018 In data publishing, privacy and utility are essential for data owners and users respectively, which cannot coexist well. This incompatibility puts the data privacy researchers under an obligation to find newer and reliable privacy preserving tradeoff ...
Saba Yaseen +8 more
doaj +2 more sources
Anonymization Techniques for Privacy Preserving Data Publishing: A Comprehensive Survey
IEEE Access, 2021 Anonymization is a practical solution for preserving user’s privacy in data publishing. Data owners such as hospitals, banks, social network (SN) service providers, and insurance companies anonymize their user’s data before publishing it to protect the ...
Abdul Majeed, Sungchang Lee
semanticscholar +1 more source
IEEE Access, 2022 The publication of a patient’s dataset is essential for various medical investigations and decision-making. Currently, significant focus has been established to protect privacy during data publishing.
J. J +4 more
semanticscholar +1 more source
FPDP: Flexible Privacy-Preserving Data Publishing Scheme for Smart Agriculture
IEEE Sensors Journal, 2021 The development of the Internet of Things (IoT) and 5th generation wireless network (5G) is set to push the smart agriculture to the next level since the massive and real-time data can be collected to monitor the status of crops and livestock, logistics ...
Jingcheng Song +5 more
semanticscholar +1 more source
A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing
IEEE Transactions on Knowledge and Data Engineering, 2021 Trajectory data has become ubiquitous nowadays, which can benefit various real-world applications such as traffic management and location-based services.
Fengmei Jin +5 more
semanticscholar +1 more source
Publishing without Publishers: a Decentralized Approach to Dissemination, Retrieval, and Archiving of Data [PDF]
arXiv, 2014 Making available and archiving scientific results is for the most part still considered the task of classical publishing companies, despite the fact that classical forms of publishing centered around printed narrative articles no longer seem well-suited in the digital age.
Tobias Kuhn +3 more
openalex +3 more sources