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Classification utility aware data stream anonymization

Applied Soft Computing Journal, 2021
Data streams are continuous, infinite and ordered sequences of data. In comparison to static dataset anonymization, data stream anonymization confront with a number of constraints and difficulties due to the dynamic nature of data flow.
Osman Abul, Uğur Sopaoglu
exaly   +2 more sources

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Distributed Data Anonymization

2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 2019
Data generalization is a widely-used privacy technique, in which an accurate value of sensitive information is replaced with a more general representation. The problem of data generalization becomes challenging when data is distributed among several agents, who are interested in releasing their table of data to shape a data mining algorithm on the ...
Martinelli, Fabio, Sheikhalishahi, Mina
openaire   +3 more sources

Anonymization of Statistical Data

it - Information Technology, 2011
Abstract In the modern digital society, personal information about individuals can be collected, stored, shared and disseminated much more easily and freely. Such data can be released in “macrodata” form, reporting aggregated information, or in “microdata” form, reporting specific information on individual respondents.
S. De Capitani di Vimercati, S. Foresti, G. Livraga, P. Samarati   +3 more
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k-Anonymous data collection

Information Sciences, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sheng Zhong 0002, Zhiqiang Yang, Tingting Chen 0001   +2 more
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Checking Anonymity Levels for Anonymized Data

2011
Privacy Preserving Publication has become one of the most prominent research topics in the recent years. Several techniques like kanonymity, l-diversity and (α, k) anonymity were proposed to preserve privacy. Most of the published work focuses on anonymizing the microdata for preserving privacy and now the focus towards the verification of the ...
V. Valli Kumari, N. Sandeep Varma, A. Sri Krishna, K. Venkata Ramana, K. V. S. V. N. Raju   +4 more
openaire   +1 more source

Anonymity and data mining

Comput. Syst. Sci. Eng., 2005
Improving trust in the knowledge society is a key requirement for its development. Privacy-awareness, if addressed at a technical level and acknowledged by regulations and social norms, may foster social acceptance and dissemination of new emerging knowledge-based applications.
ATZORI, MAURIZIO, BONCHI F, GIANNOTTI F, PEDRESCHI D.   +3 more
openaire   +5 more sources

Select-Organize-Anonymize: A Framework for Trajectory Data Anonymization

2013 IEEE 13th International Conference on Data Mining Workshops, 2013
Advances in positioning technologies together with the wide adoption of GPS-enabled smartphones enable accurate and low-cost tracking of user location. This allows the collection of large amounts of person-specific mobility data that offer remarkable opportunities for data analysis. Yet, the sharing of such data poses significant privacy risks.
Giorgos Poulis, Spiros Skiadopoulos, Grigorios Loukides, Aris Gkoulalas-Divanis   +3 more
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