User-centric privacy preservation in data-sharing applications

Authors:
Feng Gao;Jingsha He;Shufen Peng
Affiliations:
College of Computer Science and Technology, Beijing University of Technology, Beijing, China;School of Software Engineering, Beijing University of Technology, Beijing, China;College of Computer Science and Technology, Beijing University of Technology, Beijing, China
Venue:
NPC'10 Proceedings of the 2010 IFIP international conference on Network and parallel computing
Year:
2010

Citing 6
Cited 0

Preservation of Privacy in Publishing Social Network Data

ISECS '08 Proceedings of the 2008 International Symposium on Electronic Commerce and Security
Social Network Privacy via Evolving Access Control

WASA '09 Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications
Protecting Data Privacy in Structured P2P Networks

Globe '09 Proceedings of the 2nd International Conference on Data Management in Grid and Peer-to-Peer Systems
A Quantifying Metric for Privacy Protection Based on Information Theory

IITSI '10 Proceedings of the 2010 Third International Symposium on Intelligent Information Technology and Security Informatics
An Approach for Privacy Protection Based-On Ontology

NSWCTC '10 Proceedings of the 2010 Second International Conference on Networks Security, Wireless Communications and Trusted Computing - Volume 02
Contextualized communication of privacy practices and personalization benefits: impacts on users' data sharing and purchase behavior

PET'04 Proceedings of the 4th international conference on Privacy Enhancing Technologies

Quantified Score

Hi-index	0.00

Visualization

Abstract

During data sharing process across people, users do not want the information that contains privacy to be shared with everyone else; some people may only want to share it with someone they are familiar with. To solve this issue of privacy preservation in data-sharing applications, we propose a novel user-centric method. Our main contributions include the followings. (1) Users can select key words or characters for their own privacy information, which is a user-centric way to protect privacy. (2) During the process of data sharing, data substitution can be used to ensure privacy preservation as well as high successful rate of data sharing. (3) Our method can be used in different data-sharing applications in a flexible way. Simulation results show that our method can achieve our privacy preservation goal.