Preserving Differential Privacy for Similarity Measurement in Smart Environments
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-14
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Advances in both sensor technologies and network infrastructures have encouraged the development of smart environments to enhance people’s life and living styles.
However, collecting and storing user’s data in the smart environments pose severe privacy concerns because these data may contain sensitive information about the subject.
Hence, privacy protection is now an emerging issue that we need to consider especially when data sharing is essential for analysis purpose.
In this paper, we consider the case where two agents in the smart environment want to measure the similarity of their collected or stored data.
We use similarity coefficient function F S C as the measurement metric for the comparison with differential privacy model.
Unlike the existing solutions, our protocol can facilitate more than one request to compute F S C without modifying the protocol.
Our solution ensures privacy protection for both the inputs and the computed F S C results.
American Psychological Association (APA)
Wong, Kok-Seng& Kim, Myung Ho. 2014. Preserving Differential Privacy for Similarity Measurement in Smart Environments. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1050184
Modern Language Association (MLA)
Wong, Kok-Seng& Kim, Myung Ho. Preserving Differential Privacy for Similarity Measurement in Smart Environments. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1050184
American Medical Association (AMA)
Wong, Kok-Seng& Kim, Myung Ho. Preserving Differential Privacy for Similarity Measurement in Smart Environments. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1050184
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050184