Query Privacy Preserving for Data Aggregation in Wireless Sensor Networks
Joint Authors
Liu, X.
Zhang, X.
Fu, C.
Yu, Jiguo
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-24
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Wireless Sensor Networks (WSNs) are increasingly involved in many applications.
However, communication overhead and energy efficiency of sensor nodes are the major concerns in WSNs.
In addition, the broadcast communication mode of WSNs makes the network vulnerable to privacy disclosure when the sensor nodes are subject to malicious behaviours.
Based on the abovementioned issues, we present a Queries Privacy Preserving mechanism for Data Aggregation (QPPDA) which may reduce energy consumption by allowing multiple queries to be aggregated into a single packet and preserve data privacy effectively by employing a privacy homomorphic encryption scheme.
The performance evaluations obtained from the theoretical analysis and the experimental simulation show that our mechanism can reduce the communication overhead of the network and protect the private data from being compromised.
American Psychological Association (APA)
Liu, X.& Zhang, X.& Yu, Jiguo& Fu, C.. 2020. Query Privacy Preserving for Data Aggregation in Wireless Sensor Networks. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1214985
Modern Language Association (MLA)
Liu, X.…[et al.]. Query Privacy Preserving for Data Aggregation in Wireless Sensor Networks. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1214985
American Medical Association (AMA)
Liu, X.& Zhang, X.& Yu, Jiguo& Fu, C.. Query Privacy Preserving for Data Aggregation in Wireless Sensor Networks. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1214985
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214985