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Privacy Preserving Data Processing
2015 IEEE 29th International Conference on Advanced Information Networking and Applications, 2015A data processing functions are expected as a key-issue of knowledge-intensive service functions in the Cloud computing environment. Cloud computing is a technology that evolved from technologies of the field of virtual machine and distributed computing.
Hiroshi Yamaguchi +3 more
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Privacy preservation for data cubes
Proceedings. 20th International Conference on Data Engineering, 2004Data privacy refers to the issue of how to preserve the confidential information in individual data cells while still being able to provide an accurate estimation of the original summation values for range queries. There are three major goals in data privacy:l)Security - the data must be protected from being revealed; 2)Accuracy - results of analysis ...
Sam Yuan Sung, Yao Liu 0002, Peter A. Ng
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Privacy-Preserving Data Imputation
Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006In this paper, we investigate privacy-preserving data imputation on distributed databases. We present a privacy-preserving protocol for filling in missing values using a lazy decision tree imputation algorithm for data that is horizontally partitioned between two parties.
Geetha Jagannathan, Rebecca N. Wright
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Privacy-Preserving Data Publishing
Foundations and Trends in Databases, 2009Privacy is an important issue when one wants to make use of data that involves individuals’ sensitive information. Research on protecting the privacy of individuals and the confidentiality of data has received contributions from many fields, including computer science, statistics, economics, and social science. In this paper, we survey research work in
Bee-Chung Chen +3 more
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Privacy-preserving data publishing
2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010), 2010Data publishing has generated much concern on individual privacy. Recent work has focused on different background knowledge and their various threats to the privacy of published data. However, there still exist a few types of adversary knowledge waiting to be investigated. In this paper, I explain my research on privacy-preserving data publishing (PPDP)
Ruilin Liu, Wendy Hui Wang
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Privacy preservation for data cubes
Knowledge and Information Systems, 2005A range query finds the aggregated values over all selected cells of an online analytical processing (OLAP) data cube where the selection is specified by the ranges of contiguous values for each dimension. An important issue in reality is how to preserve the confidential information in individual data cells while still providing an accurate estimation ...
Sung, S.Y., Liu, Y., Xiong, H., Ng, P.A.
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Anonymity-preserving data collection
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, 2005Protection of privacy has become an important problem in data mining. In particular, individuals have become increasingly unwilling to share their data, frequently resulting in individuals either refusing to share their data or providing incorrect data.
Zhiqiang Yang +2 more
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Digital Preservation of Scientific Data
2008Digital preservation aims at maintaining digital objects and data accessible over long periods of time. We propose the use of dedicated or surplus storage resources of data grids to build frameworks of digital preservation. In this paper we focus on the problem of digital preservation in two scenarios: a national digital library and a repository of ...
José Barateiro +4 more
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Visualization of data preserving monotonicity
Applied Mathematics and Computation, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Malik Zawwar Hussain, Maria Hussain
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Lightweight privacy-Preserving data classification
Computers & Security, 2020Abstract Internal attacks are of a huge concern, because they are usually delicately masqueraded under harmless-looking activities, which are very difficult to detect. Machine learning techniques have been successfully applied to identify insider threats.
Ngoc Hong Tran +2 more
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