Abstract
In order to solve privacy protection excavation algorithm data protection degree is not high at present, the business database’s regular loss factor is big and so on questions, this paper uses the PPARM algorithm and based on moves term the privacy protection algorithm (IMBA) which unifies strategy, proposed one kind based on connection rule privacy protection algorithm- SWTA algorithm. And through the experimental verification based on the SWTA algorithm’s privacy protection algorithm had a better confidentiality and the validity compared to the original algorithm in the data protection degree.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Zhou, S., Li, F., Tao, Y.: study of privacy protect faces to a data application. Journal of Computer 32(5), 847–861 (2009)
Agrawal, R., Imielinski, T., Swami, A.: Mining association rules between sets of items in large databases, pp. 50–65 (2005)
Agrawal, R., Srikant, R.: Privacy-preserving data mining. In: Proceedings of the ACM SIGMOD Conference on Management of Data, pp. 439–450. ACM Press, New York (2003)
Vassilios, V.S., Gkoulalas-Divani, A.: A Survey of Association Rule Hiding Methods for Privacy (2007)
Verykios, V.S., Gkoulalas-Divanis, A.: A Survey of Association Rule Hiding Methods for Privacy. In: Workshops Proceedings of the 6th IEEE International Conference on Data Mining, ICDM 2006, pp. 502–506 (2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, Y. (2012). Study of Privacy Protection Based on SWTA Algorithm. In: Jin, D., Lin, S. (eds) Advances in Electronic Engineering, Communication and Management Vol.1. Lecture Notes in Electrical Engineering, vol 139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27287-5_57
Download citation
DOI: https://doi.org/10.1007/978-3-642-27287-5_57
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27286-8
Online ISBN: 978-3-642-27287-5
eBook Packages: EngineeringEngineering (R0)