Download Data Security and Security Data: 27th British National by Ken Barker (auth.), Lachlan M. MacKinnon (eds.) PDF

By Ken Barker (auth.), Lachlan M. MacKinnon (eds.)

This e-book constitutes the completely refereed post-conference complaints of the twenty seventh British nationwide convention on Databases, BNCOD 27, held in Dundee, united kingdom, in June 2010. the ten revised complete papers and six brief papers, offered including three invited papers, 1 most sensible paper of the linked occasion on instructing, studying and evaluation of Databases (TLAD), and a couple of PhD discussion board most sensible papers have been rigorously reviewed and chosen from forty two submissions. specific concentration of the convention has been "Data defense and safety facts" and so the papers disguise quite a lot of themes corresponding to facts safety, privateness and belief, safety facts, info integration and interoperability, information administration for ubiquitous and cellular computing, info mining and knowledge extraction, info modelling and architectures, facts provenance, dataspaces, information streaming, databases and the grid, dispensed info platforms, digital trade, firm platforms, heterogeneous databases, business purposes, infrastructures and structures, intermittently hooked up info, dossier entry tools and index constructions, coping with legacy information, new purposes and tactics, parallel and disbursed databases, peer-to-peer info administration, functionality modelling of ubiquitous information use, own information administration, question and manipulation languages, question processing and optimisation, medical purposes, semantic net and ontologies, semi-structured facts, metadata and xml, person interfaces and information visualisation, internet facts administration and deep internet, net providers, and workflow aid systems.

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Extra resources for Data Security and Security Data: 27th British National Conference on Databases, BNCOD 27, Dundee, UK, June 29 - July 1, 2010. Revised Selected Papers

Sample text

The randomization methods [8, 17] are simple techniques which can be easily implemeted while collecting the data. It is possible because the noise being added to a record is independent of the other records' values. In addition, these methods serve well at preserving data utility, especially patterns and association rules. But, their advantages give rise to their main downsides. Provided there are other sources of information with publicly available records intersecting with the data to be masked, privacy can be violated with a great possibility [18].

We can always do that by changing vital values of different records according to the received quantities. It is obvious that picking different vital and parameter attributes, or even different WRMs, doesn't restrict the possibility of applying the method under review to providing group anonymity. 5 Conclusion and Future Research In the paper, we attracted attention to the problem of providing group anonymity while preparing microdata. In response to this new challenge, we introduced a totally novel wavelet-based method for providing group anonymity in collective data.

0129 Providing Group Anonymity Using Wavelet Transform 35 Though the resultant data completely differ from the initial ones, we preserved both mean value and wavelet decomposition details. It is important to note that rounding the quantities may lead to some changes in wavelet decomposition details. Though, in most cases they are not very significant. All that is left to fulfil is to construct a new microfile. We can always do that by changing vital values of different records according to the received quantities.

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