REBIVE: A reliable private data aggregation scheme for wireless sensor networks

Farzana Rahman, Md Endadul Hoque, Sheikh Iqbal Ahamed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An important topic addressed by the wireless sensor networks community over the last several years is the in-net work data aggregation. It is significant as well as a challenging issue to provide reliable data aggregation scheme while preserving data privacy. However, in WSNs, achieving ideal data accuracy is complicated due to collision, heavy network traffic, processing delays and/or several attacks. The problem of gathering accurate integrated data will be further intensified if the environment is adverse. Hence how to attain data privacy and perfect data accuracy are two major challenges for data aggregation in wireless sensor networks. To address this problem, we propose in this paper a new privacy preserving data aggregation scheme. We present REBIVE (REliaBle prIVate data aggregation scheme). In REBIVE the data accuracy maintenance and data privacy protection mechanisms work cooperatively. Different from past research, our proposed solution have the following features: providing privacy preservation technique for individual sensor data and aggregated sensor data; maintaining perfect data accuracy for realistic environments; being highly efficient; and being robust to popular attacks launched in WSNs.

Original languageEnglish (US)
Title of host publication26th Annual ACM Symposium on Applied Computing, SAC 2011
Pages439-444
Number of pages6
DOIs
StatePublished - Jun 23 2011
Externally publishedYes
Event26th Annual ACM Symposium on Applied Computing, SAC 2011 - TaiChung, Taiwan, Province of China
Duration: Mar 21 2011Mar 24 2011

Publication series

NameProceedings of the ACM Symposium on Applied Computing

Other

Other26th Annual ACM Symposium on Applied Computing, SAC 2011
CountryTaiwan, Province of China
CityTaiChung
Period3/21/113/24/11

Keywords

  • data aggregation
  • privacy
  • reliable
  • sensors

ASJC Scopus subject areas

  • Software

Fingerprint Dive into the research topics of 'REBIVE: A reliable private data aggregation scheme for wireless sensor networks'. Together they form a unique fingerprint.

Cite this