TOWARDS EFFICIENT CRYPTOGRAPHY FOR PRIVACY PRESERVING DATA MINING IN DISTRIBUTED SYSTEMS

Emmanouil Magkos, Vassilis Chrissikopoulos

2008

Abstract

A common fact for both businesses and physical entities is that sensitive, accurate information would be more easily diffused if adequate measures for protection were in place. This could also lead to higher quality data mining results, in a privacy preserving manner. Recent research has proved that it is possible to provide both privacy and accuracy assurances in a distributed computing scenario, where all participants may be mutually untrusted, without the presence of an unconditionally trusted third party. We believe that valuable knowledge can be borrowed from the vast body of literature on e-auction and e-voting systems, in order to be adapted to privacy preserving data mining systems in a distributed environment. These systems tend to balance well the efficiency and security criteria, because they need to be implementable in medium to large scale environments.

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Paper Citation


in Harvard Style

Magkos E. and Chrissikopoulos V. (2008). TOWARDS EFFICIENT CRYPTOGRAPHY FOR PRIVACY PRESERVING DATA MINING IN DISTRIBUTED SYSTEMS . In Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8111-26-5, pages 301-304. DOI: 10.5220/0001531403010304

in Bibtex Style

@conference{webist08,
author={Emmanouil Magkos and Vassilis Chrissikopoulos},
title={TOWARDS EFFICIENT CRYPTOGRAPHY FOR PRIVACY PRESERVING DATA MINING IN DISTRIBUTED SYSTEMS},
booktitle={Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2008},
pages={301-304},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001531403010304},
isbn={978-989-8111-26-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - TOWARDS EFFICIENT CRYPTOGRAPHY FOR PRIVACY PRESERVING DATA MINING IN DISTRIBUTED SYSTEMS
SN - 978-989-8111-26-5
AU - Magkos E.
AU - Chrissikopoulos V.
PY - 2008
SP - 301
EP - 304
DO - 10.5220/0001531403010304