Results 21 to 30 of about 23,626,077 (284)
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
Mohammad Malekzadeh +3 more
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Privacy-Preserving Trajectory Data Publishing by Dynamic Anonymization with Bounded Distortion
, 2021 Publication of trajectory data that contain rich information of vehicles in the dimensions of time and space (location) enables online monitoring and supervision of vehicles in motion and offline traffic analysis for various management tasks. However, it
Hong Shen +7 more
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Proceedings of the 2009 ACM SIGMOD International Conference on Management of data, 2009 Data anonymization techniques have been the subject of intense investigation in recent years, for many kinds of structured data, including tabular, graph and item set data. They enable publication of detailed information, which permits ad hoc queries and analyses, while guaranteeing the privacy of sensitive information in the data against a variety of ...
Graham Cormode, Divesh Srivastava
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Facial Feature Removal for Anonymization of Neurological Image Data
Current Directions in Biomedical Engineering, 2021 Interdisciplinary exchange of medical datasets between clinicians and engineers is essential for clinical research. Due to the Data Protection Act, which preserves the rights of patients, full anonymization is necessary before any exchange can take place.
Gießler Fina +4 more
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, 2022 The Media Data Space Governance Workshop aims at co-designing a governance structure of a data space for the media industry, together with the media ecosystem.
Media Data Space Consortium
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Understanding structure-based social network de-anonymization techniques via empirical analysis
EURASIP Journal on Wireless Communications and Networking, 2018 The rapid development of wellness smart devices and apps, such as Fitbit Coach and FitnessGenes, has triggered a wave of interaction on social networks. People communicate with and follow each other based on their wellness activities.
Jian Mao +5 more
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An Anonymization Tool for Open Data Publication of Legal Documents [PDF]
, 2022 The EU General Data Protection Regulation (GDPR) requires anonymization of documents containing personal data, such as court decisions, for public use.
Kokkonen, Matti +7 more
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De-anonymiation method for networks based on DeepLink
网络与信息安全学报, 2020 Existing de-anonymization technologies are mainly based on the network structure. To learn and express network structure is the key step of de-anonymization.
WANG Pei, JIA Yan, LI Aiping, JIANG Qianyue
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Inferring the Meaning of Non-personal, Anonymized, and Anonymous Data [PDF]
, 2021 On the awareness of the dynamism pertaining to data and its processing, this paper investigates the problem of having two mutually exclusive definitions of personal and non-personal data in the legal framework in force. The taxonomic analysis of key terms and their context of application highlights the risk to crystalize the whole system upon which the
Podda, Emanuela, Palmirani, Monica
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McGill Data Anonymization Workshop Series - 1. Reducing risk: An introduction to data anonymization
, 2023 <p>This presentation is a part of the McGill Data Anonymization Workshop Series organized by the <a href="www.mcgill.ca/drs">McGill Digital Research Services.</a> You may access the workshop recordings (in English & French) and ...
Thompson, Kristi
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