Results 21 to 30 of about 48,494 (276)
z-anonymity: Zero-Delay Anonymization for Data Streams [PDF]
2020 IEEE International Conference on Big Data (Big Data), 2020 With the advent of big data and the birth of the data markets that sell personal information, individuals' privacy is of utmost importance. The classical response is anonymization, i.e., sanitizing the information that can directly or indirectly allow users' re-identification. The most popular solution in the literature is the k-anonymity.
Jha, Nikhil +4 more
openaire +3 more sources
Practical anonymization for data streams: z-anonymity and relation with k-anonymity
Performance Evaluation, 2023 With the advent of big data and the emergence of data markets, preserving individuals’ privacy has become of utmost importance. The classical response to this need is anonymization, i.e., sanitizing the information that, directly or indirectly, can allow users’ re-identification.
Nikhil Jha +4 more
openaire +3 more sources
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
doaj +1 more source
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
core +1 more source
Privacy Preservation by Disassociation [PDF]
, 2012 In this work, we focus on protection against identity disclosure in the publication of sparse multidimensional data. Existing multidimensional anonymization techniquesa) protect the privacy of users either by altering the set of quasi-identifiers of the ...
Liagouris, John +3 more
core +2 more sources
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
doaj +1 more source
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
doaj +1 more source
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks
, 2020 The unprecedented increase in the usage of computer vision technology in society goes hand in hand with an increased concern in data privacy. In many real-world scenarios like people tracking or action recognition, it is important to be able to process ...
Elezi, Ismail +2 more
core +1 more source
An Automated Social Graph De-anonymization Technique [PDF]
, 2014 We present a generic and automated approach to re-identifying nodes in anonymized social networks which enables novel anonymization techniques to be quickly evaluated.
Criminisi A. +3 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
doaj +3 more sources