Results 11 to 20 of about 18,594 (262)
Finding the Sweet Spot for Data Anonymization: A Mechanism Design Perspective
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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Statistical biases due to anonymization evaluated in an open clinical dataset from COVID-19 patients
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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Facial Feature Removal for Anonymization of Neurological Image Data
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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Data Anonymization for Pervasive Health Care: Systematic Literature Mapping Study
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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Data anonymization patent landscape
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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Anonym: A tool for anonymization of the Internet traffic [PDF]
Collecting network traffic traces from deployed networks is one of the basic steps in understanding communication networks. Traffic traces are used for network management, traffic engineering, packet classification, and analyzing user behavior to ensure adequate quality of service.
Tanjila Farah, Ljiljana Trajkovic
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We introduce the notion of parameterised anonymity, to formalize the anonymity property of protocols with an arbitrary number of participants. This definition is an extension of the well known CSP anonymity formalization of Schneider and Sidiropoulos [18]. Using recently developed invariant techniques for solving parameterised boolean equation systems,
Jan Friso Groote, Simona Orzan
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Understanding structure-based social network de-anonymization techniques via empirical analysis
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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TRAFFIC AUTHENTICITY ANALYSIS BASED ON DIGITAL FINGERPRINT DATA OF NETWORK PROTOCOL IMPLEMENTATIONS [PDF]
Subject of Research. The problem of traffic authenticity determination based on digital fingerprint data of network protocol implementations is considered.
Sergei M. Ishkuvatov, Igor I. Komarov
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Anonymization-based privacy protection ensures that data cannot be traced back to individuals. Researchers working in this area have proposed a wide variety of anonymization algorithms, many of which require a considerable number of database accesses. This is a problem of efficiency, especially when the released data is subject to visualization or when
Nergiz, Mehmet +2 more
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