Results 31 to 40 of about 48,494 (276)
Towards trajectory anonymization: a generalization-based approach [PDF]
, 2009 Trajectory datasets are becoming popular due to the massive usage of GPS and locationbased services. In this paper, we address privacy issues regarding the identification of individuals in static trajectory datasets.
Atzori, Maurizio +5 more
core +2 more sources
Attribute-Centric and Synthetic Data Based Privacy Preserving Methods: A Systematic Review
Journal of Cybersecurity and Privacy, 2023 Anonymization techniques are widely used to make personal data broadly available for analytics/data-mining purposes while preserving the privacy of the personal information enclosed in it.
Abdul Majeed
doaj +1 more source
Energy efficient privacy preserved data gathering in wireless sensor networks having multiple sinks [PDF]
, 2009 Wireless sensor networks (WSNs) generally have a many-to-one structure so that event information flows from sensors to a unique sink. In recent WSN applications, many-tomany structures are evolved due to need for conveying collected event information to ...
Bahsi, Hayretdin +2 more
core +1 more source
Journal of Function Spaces, 2022 Background. As more data becomes available about how frequently the cloud can be updated, a more comprehensive picture of its safety is emerging. The suggested artworks use a cloud-based gradual clustering device to cluster and refresh a large number of ...
Sindhe Phani Kumar, R. Anandan
doaj +1 more source
Quantification of De-anonymization Risks in Social Networks
, 2017 The risks of publishing privacy-sensitive data have received considerable attention recently. Several de-anonymization attacks have been proposed to re-identify individuals even if data anonymization techniques were applied.
Ji, Shouling +4 more
core +1 more source
Utility-preserving anonymization for health data publishing
BMC Medical Informatics and Decision Making, 2017 Background Publishing raw electronic health records (EHRs) may be considered as a breach of the privacy of individuals because they usually contain sensitive information.
Hyukki Lee +3 more
doaj +1 more source
Algorithms to anonymize structured medical and healthcare data: A systematic review
Frontiers in Bioinformatics, 2022 Introduction: With many anonymization algorithms developed for structured medical health data (SMHD) in the last decade, our systematic review provides a comprehensive bird’s eye view of algorithms for SMHD anonymization.Methods: This systematic review ...
Ali Sepas +6 more
doaj +1 more source
Publishing Microdata with a Robust Privacy Guarantee [PDF]
, 2012 Today, the publication of microdata poses a privacy threat. Vast research has striven to define the privacy condition that microdata should satisfy before it is released, and devise algorithms to anonymize the data so as to achieve this condition.
Cao, Jianneng, Karras, Panagiotis
core +2 more sources
Standardization of guidelines for patient photograph deidentification [PDF]
, 2016 IMPORTANCE: This work was performed to advance patient care by protecting patient anonymity. OBJECTIVES: This study aimed to analyze the current practices used in patient facial photograph deidentification and set forth standardized guidelines for ...
Roberts, Erik +2 more
core +2 more sources
IEEE AccessData anonymization is an essential prerequisite that enables data sharing in a privacy-preserving manner. However, anonymization affects the quality of the data and thus might affect the performance of later conducted data analysis.
Roland Stenger +4 more
doaj +1 more source