Data Anonymization for Pervasive Health Care: Systematic Literature Mapping Study
JMIR Medical Informatics, 2021 BackgroundData science offers an unparalleled opportunity to identify new insights into many aspects of human life with recent advances in health care.
Zheming Zuo +5 more
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Design and evaluation of a data anonymization pipeline to promote Open Science on COVID-19 [PDF]
Scientific Data, 2020 The Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS) is a European registry for studying the epidemiology and clinical course of COVID-19.
Carolin E. M. Jakob +4 more
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A distributed computing model for big data anonymization in the networks. [PDF]
PLoS One, 2023 Recently big data and its applications had sharp growth in various fields such as IoT, bioinformatics, eCommerce, and social media. The huge volume of data incurred enormous challenges to the architecture, infrastructure, and computing capacity of IT ...
Ashkouti F, Khamforoosh K.
europepmc +2 more sources
NYU-VPR: Long-Term Visual Place Recognition Benchmark with View Direction and Data Anonymization Influences. [PDF]
Rep U S, 2021 Visual place recognition (VPR) is critical in not only localization and mapping for autonomous driving vehicles, but also assistive navigation for the visually impaired population.
Sheng D +6 more
europepmc +3 more sources
Data Anonymization: An Experimental Evaluation Using Open-Source Tools
Future Internet, 2022 In recent years, the use of personal data in marketing, scientific and medical investigation, and forecasting future trends has really increased. This information is used by the government, companies, and individuals, and should not contain any sensitive
Joana Tomás +2 more
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Lost in Anonymization - A Data Anonymization Reference Classification Merging Legal and Technical Considerations. [PDF]
J Law Med Ethics, 2020 Kerstin N. Vokinger, Daniel J. Stekhoven, and Michael Krauthammer In recent years, advances in technology have enabled research with health data derived from large volumes of electronic health records (EHR) and other health-related data sources to ...
Vokinger KN +2 more
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Mobile sensor data anonymization [PDF]
Proceedings of the International Conference on Internet of Things Design and Implementation, 2019 Motion sensors such as accelerometers and gyroscopes measure the instant acceleration and rotation of a device, in three dimensions. Raw data streams from motion sensors embedded in portable and wearable devices may reveal private information about users without their awareness. For example, motion data might disclose the weight or gender of a user, or
Malekzadeh, M +3 more
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Subtle biases introduced in equity studies through data anonymization. [PDF]
PLoS ONEThis work investigates the trade-off between data anonymization and utility, particularly focusing on the implications for equity-related research in education.
Paulo Fazendeiro +2 more
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An Efficient Big Data Anonymization Algorithm Based on Chaos and Perturbation Techniques. [PDF]
Entropy (Basel), 2018 The topic of big data has attracted increasing interest in recent years. The emergence of big data leads to new difficulties in terms of protection models used for data privacy, which is of necessity for sharing and processing data.
Eyupoglu C +3 more
europepmc +2 more sources
Comparison of Three Anonymization Tools for a Health Fitness Study [PDF]
Scientific DataOne of many challenges to open science is anonymization of personal data so that it may be shared. This paper presents a case study of the anonymization of a dataset containing cardio-respiratory fitness and commuting patterns for Slovenian school ...
Paul Francis +4 more
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