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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
Abdul Majeed, Sungchang Lee
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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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Data Anonymization: K-anonymity Sensitivity Analysis [PDF]
2020 15th Iberian Conference on Information Systems and Technologies (CISTI), 2020 These days the digitization process is everywhere, spreading also across central governments and local authorities. It is hoped that, using open government data for scientific research purposes, the public good and social justice might be enhanced. Taking into account the European General Data Protection Regulation recently adopted, the big challenge ...
Santos, Wilson +3 more
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Finding the Sweet Spot for Data Anonymization: A Mechanism Design Perspective
IEEE Access, 2022 Data sharing between different organizations is an essential process in today’s connected world. However, recently there were many concerns about data sharing as sharing sensitive information can jeopardize users’ privacy.
Abdelrahman Eldosouky +3 more
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Spectral Anonymization of Data [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2010 The goal of data anonymization is to allow the release of scientifically useful data in a form that protects the privacy of its subjects. This requires more than simply removing personal identifiers from the data, because an attacker can still use auxiliary information to infer sensitive individual information.
Thomas A, Lasko, Staal A, Vinterbo
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Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic [PDF]
, 2020 This work proposes and analyzes the use of keystroke biometrics for content de-anonymization. Fake news have become a powerful tool to manipulate public opinion, especially during major events.
Acien, Alejandro +6 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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Statistical biases due to anonymization evaluated in an open clinical dataset from COVID-19 patients
Scientific Data, 2022 Anonymization has the potential to foster the sharing of medical data. State-of-the-art methods use mathematical models to modify data to reduce privacy risks.
Carolin E. M. Koll +26 more
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Data anonymization patent landscape
Croatian Operational Research Review, 2017 The omnipresent, unstoppable increase in digital data has led to a greater understanding of the importance of data privacy. Different approaches are used to implement data privacy.
Mirjana Pejić Bach +2 more
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Going Beyond Obscurity: Organizational Approaches to Data Anonymization [PDF]
, 2018 Anonymization is viewed as a solution to over-exposure of personal information in a data-driven society. Yet how organizations apply anonymization techniques to data for regulatory, ethical or commercial reasons remains underexplored.
Hargitai, Viktor +2 more
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