Privacy preserving electronic data gathering

Most organizations, from private business to scientific institutes, own large information databases. Analysis of these databases can be very beneficial to the owner organizations, as it contributes to knowledge discovery. To extract broader and more accurate conclusions, knowledge discovery techniqu...

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Bibliographic Details
Published in:Mathematical and computer modelling 2005-10, Vol.42 (7), p.739-746
Main Authors: Laskari, E.C., Meletiou, G.C., Tasoulis, D.K., Vrahatis, M.N.
Format: Article
Language:English
Subjects:
Applied sciences
Computer science
control theory
systems
Discrete logarithm
E-voting protocols
Electronic data gathering
Exact sciences and technology
Information systems. Data bases
Mathematics
Memory and file management (including protection and security)
Memory organisation. Data processing
Methods of scientific computing (including symbolic computation, algebraic computation)
Numerical analysis. Scientific computation
Privacy
Sciences and techniques of general use
Software
Citations: Items that this one cites
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Summary:Most organizations, from private business to scientific institutes, own large information databases. Analysis of these databases can be very beneficial to the owner organizations, as it contributes to knowledge discovery. To extract broader and more accurate conclusions, knowledge discovery techniques need to be applied on a collection of databases of different organizations involved in the same field. This paper addresses two issues associated with electronic data gathering: confidentiality of the organization that supplies a particular database, and authentication of the provided data.
ISSN:0895-7177
1872-9479
DOI:10.1016/j.mcm.2005.09.003