Patent
Anonymisation and filtering data
Adam Gianniotis,Gerald Mcquaid,Stephen Babbage +2 more
- 20 Jul 2012
30
TL;DR: In this article, the authors present a system and method of anonymizing data comprising the steps of reading parameters of an anonymization procedure from a configurable anonymisation procedure resource. And applying one or more transformations to the received data according to the anonymization process.
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Abstract: System and method of anonymising data comprising the steps of reading parameters of an anonymisation procedure from a configurable anonymisation procedure resource Receiving data to be anonymised from a data source, wherein the data source is identified by one or more of the read parameters Applying one or more transformations to the received data according to the anonymisation procedure, wherein the one or more transformations include transforming at least an original portion of the received data into a transformed portion
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Citations
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Computer-implemented privacy engineering system and method
Jason Derek McFall,Cabot Charles Codman,Timothy James Moran,Guinamard Kieron Francois Pascal,Vladimir Michael Eatwell,Benjamin Thomas Pickering,Paul David Mellor,Theresa Stadler,Andrei Petre,Christopher Andrew Smith,Anthony Jason Du Preez,Igor Vujosevic,George Danezis +12 more
- 02 May 2017
TL;DR: In this paper, the identification and protection of sensitive data in a multiple ways, which can be combined for different workflows, data situations or use cases, is discussed, using differentially private algorithms to reduce or prevent the risk of identification or disclosure of sensitive information.
29
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Paul Y. F. Wu,Richard J. Nathan,Harry Leslie Tredennick +2 more
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TL;DR: In this paper, a secret key is used to generate vectors that describe permutation (or repositioning) of characters within a segment length equal to a length of the transposition vector.
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- 28 Sep 2015
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Systems and methods for data anonymization
Hakim Hacid,Laura Maag +1 more
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TL;DR: In this article, a system and method for dynamic anonymization of a dataset includes decomposing, at at least one processor, the dataset into a plurality of subsets and applying an anonymization strategy on each subsets.
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Stefano Braghin,Aris Gkoulalas-Divanis +1 more
- 18 Sep 2015
TL;DR: In this paper, a mechanism for anonymizing sequential and location datasets is provided for the purpose of exposing a set of privacy vulnerabilities and identifying utility constraints, which are then returned to the enterprise.
12
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Robin Heizmann,Toni Farruggia +1 more
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