Privacy preservation techniques in big data analytics: a survey
Incredible amounts of data is being generated by various organizations like hospitals,
banks, e-commerce, retail and supply chain, etc. by virtue of digital technology. Not only …
banks, e-commerce, retail and supply chain, etc. by virtue of digital technology. Not only …
Survey on privacy-preserving techniques for microdata publication
The exponential growth of collected, processed, and shared microdata has given rise to
concerns about individuals' privacy. As a result, laws and regulations have emerged to …
concerns about individuals' privacy. As a result, laws and regulations have emerged to …
t-closeness: Privacy beyond k-anonymity and l-diversity
The k-anonymity privacy requirement for publishing microdata requires that each
equivalence class (ie, a set of records that are indistinguishable from each other with respect …
equivalence class (ie, a set of records that are indistinguishable from each other with respect …
System and method for protecting user privacy using social inference protection techniques
SG Motahari, Q Jones - US Patent 8,504,481, 2013 - Google Patents
US8504481B2 - System and method for protecting user privacy using social inference protection
techniques - Google Patents US8504481B2 - System and method for protecting user privacy …
techniques - Google Patents US8504481B2 - System and method for protecting user privacy …
Ordinal, Continuous and Heterogeneous k-Anonymity Through Microaggregation
J Domingo-Ferrer, V Torra - Data Mining and Knowledge Discovery, 2005 - Springer
Abstract k-Anonymity is a useful concept to solve the tension between data utility and
respondent privacy in individual data (microdata) protection. However, the generalization …
respondent privacy in individual data (microdata) protection. However, the generalization …
The anonymisation decision-making framework
This book has been developed to address a need for a practical guide to anonymisation that
gives more operational advice than the ICO'sAnonymisation Code of Practice, whilst being …
gives more operational advice than the ICO'sAnonymisation Code of Practice, whilst being …
A framework for evaluating the utility of data altered to protect confidentiality
AF Karr, CN Kohnen, A Oganian, JP Reiter… - The American …, 2006 - Taylor & Francis
When releasing data to the public, statistical agencies and survey organizations typically
alter data values in order to protect the confidentiality of survey respondents' identities and …
alter data values in order to protect the confidentiality of survey respondents' identities and …
Disclosure risk vs. data utility: The RU confidentiality map as applied to topcoding
GT Duncan, SL Stokes - Chance, 2004 - Taylor & Francis
Americans are urged to be more savvyabout preventing their personal information from
falling into strangers' hands. We are advised to shred documents containing our Social …
falling into strangers' hands. We are advised to shred documents containing our Social …
[HTML][HTML] Data anonymization for pervasive health care: systematic literature mapping study
Background Data science offers an unparalleled opportunity to identify new insights into
many aspects of human life with recent advances in health care. Using data science in …
many aspects of human life with recent advances in health care. Using data science in …
[图书][B] Database anonymization: privacy models, data utility, and microaggregation-based inter-model connections
The current social and economic context increasingly demands open data to improve
scientific research and decision making. However, when published data refer to individual …
scientific research and decision making. However, when published data refer to individual …