Earticle

초록

영어

Because a sensor node has limited resources, such as battery capacity, data aggregation techniques have been proposed for wireless sensor networks (WSNs). On the other hand, the provision of efficient data aggregation for preserving data privacy is challenging issue in WSNs. Existing data aggregation methods for preserving data privacy are CPDA, SMART, Twin-Key based method, and GP2S. However, they have a main limitation that communication cost for network construction is considerably high. To resolve the problem, we propose a privacy preserving data aggregation scheme based on Hilbert curve for WSNs. For data aggregation, we utilize a tree-based network structure which minimizes communication among sibling sensor nodes for network construction. Moreover, we adapt a Hilbert curve technique to preserve data privacy. Because the sending data is encrypted by using a unique Hilbert value, it is very difficult to trace a real value even though attackers overhear the sending data. Through our performance analysis, we show that our data aggregation scheme outperforms the existing methods in terms of energy efficiency and privacy preservation

목차

Abstract
 1. Introduction
 2. Related Work
 3. Privacy Preserving Schemes to Enforce Data Privacy
  3.1. Design Consideration
  3.2. Hilbert Curve based Privacy Preserving Scheme
 4. Performance Analysis
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Min Yoon [ Dept. of Computer Engineering, Chonbuk National University ]
• Yong-Ki Kim [ Korea Institute of Science and Technology Information ]
• Jae-Woo Chang [ Dept. of Computer Engineering, Chonbuk National University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605