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International Workshop on Design, Modeling, and Evaluation of Cyber Physical Systems

CyPhy 2015: Cyber Physical Systems. Design, Modeling, and Evaluation pp 116–131Cite as

Hybrid Secure Data Aggregation in Wireless Sensor Networks

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9361))

Abstract

Secure data aggregation aims at combining security and data aggregation together to meet the requirements of data-centric networks such as wireless sensor network. Secure data aggregation protocols provide either hop-by-hop security or end-to-end security. However, hop-by-hop secure data aggregation is vulnerable to attackers at intermediate nodes while end-to-end secure data aggregation increases the communication overhead. In this paper, we propose a hybrid secure data aggregation protocol to balance the trade-off between privacy and communication overhead. The proposed protocol uses the symmetric-key based privacy homomorphism to ensure the privacy of sensor readings at intermediate nodes. In addition, the proposed protocol efficiently deals with the key management issues that exist in the state-of-the-art symmetric-key based protocols. The proposed protocol also reduces the communication overhead as compared to the existing end-to-end secure data aggregation protocols. Comprehensive analysis and comparisons validate the viability of the proposed protocol in resource-constrained wireless sensor networks.

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Acknowledgments

This research was a part of the project “A Secure Data Aggregation System and An Intrusion Detection System for Wireless Sensor Networks”. It was supported by the Department of Electronics and Information Technology, Ministry of Communications and Information Technology, Government of India.

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Authors and Affiliations

  1. S.V. National Institute of Technology, Surat, India

    Keyur Parmar & Devesh C. Jinwala

Authors
  1. Keyur Parmar
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  2. Devesh C. Jinwala
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Correspondence to Keyur Parmar .

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Editors and Affiliations

  1. Halmstad University, Halmstad, Sweden

    Mohammad Reza Mousavi

  2. University of Gothenburg, Gothenburg, Sweden

    Christian Berger

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Parmar, K., Jinwala, D.C. (2015). Hybrid Secure Data Aggregation in Wireless Sensor Networks. In: Mousavi, M., Berger, C. (eds) Cyber Physical Systems. Design, Modeling, and Evaluation. CyPhy 2015. Lecture Notes in Computer Science(), vol 9361. Springer, Cham. https://doi.org/10.1007/978-3-319-25141-7_9

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  • DOI: https://doi.org/10.1007/978-3-319-25141-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25140-0

  • Online ISBN: 978-3-319-25141-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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