Optimized secure data aggregation in wireless sensor networks

Scott A. Thompson, Bharath Kumar Samanthula

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

Abstract

With continuing developments in miniaturization and battery design, wireless sensor networks (WSNs) are poised to become common technology in our daily lives. Low cost and flexibility of deployment make WSNs well suited for a wide variety of military, environmental, healthcare, and commercial applications. Some WSN applications, such as monitoring patients in hospitals or weapons targeting in battlefront require endto- end data confidentiality. However, since WSNs are made up of many resource limited sensor nodes, they are typically unable to sustain the high volumes of data transmissions. Using innetwork data aggregation, sensor data from multiple nodes can be combined before being forwarded to neighboring nodes; and thus, energy consumption can be reduced significantly. But in situations where sensor nodes privacy is non-negotiable, data aggregation cannot be implemented at the cost of security. Therefore, there is a strong need for secure data aggregation (SDA) protocols designed to fit the unique properties and considerable constraints of WSNs. Existing end-to-end solutions are either insecure or impractical. In this paper, we propose a novel solution for the secure aggregation of data in WSNs based on probabilistic homomorphic encryption. By combining with a unique encoding function, our solution guarantees the privacy of sensor data, while also greatly reducing communication costs.

Original languageEnglish
Title of host publicationProceedings - 2017 15th Annual Conference on Privacy, Security and Trust, PST 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages394-396
Number of pages3
ISBN (Electronic)9781538624876
DOIs
StatePublished - 28 Sep 2018
Event15th Annual Conference on Privacy, Security and Trust, PST 2017 - Calgary, Canada
Duration: 27 Aug 201729 Aug 2017

Other

Other15th Annual Conference on Privacy, Security and Trust, PST 2017
CountryCanada
CityCalgary
Period27/08/1729/08/17

Fingerprint

Wireless sensor networks
Agglomeration
Sensor nodes
Patient monitoring
Sensors
Data communication systems
Cryptography
Data aggregation
Costs
Energy utilization
Network protocols
Node
Sensor
Communication
Privacy

Keywords

  • Data Aggregation
  • Homomorphic Encryption
  • Wireless Sensor Networks

Cite this

Thompson, S. A., & Samanthula, B. K. (2018). Optimized secure data aggregation in wireless sensor networks. In Proceedings - 2017 15th Annual Conference on Privacy, Security and Trust, PST 2017 (pp. 394-396). [8476961] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PST.2017.00055
Thompson, Scott A. ; Samanthula, Bharath Kumar. / Optimized secure data aggregation in wireless sensor networks. Proceedings - 2017 15th Annual Conference on Privacy, Security and Trust, PST 2017. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 394-396
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Thompson, SA & Samanthula, BK 2018, Optimized secure data aggregation in wireless sensor networks. in Proceedings - 2017 15th Annual Conference on Privacy, Security and Trust, PST 2017., 8476961, Institute of Electrical and Electronics Engineers Inc., pp. 394-396, 15th Annual Conference on Privacy, Security and Trust, PST 2017, Calgary, Canada, 27/08/17. https://doi.org/10.1109/PST.2017.00055

Optimized secure data aggregation in wireless sensor networks. / Thompson, Scott A.; Samanthula, Bharath Kumar.

Proceedings - 2017 15th Annual Conference on Privacy, Security and Trust, PST 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 394-396 8476961.

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

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Thompson SA, Samanthula BK. Optimized secure data aggregation in wireless sensor networks. In Proceedings - 2017 15th Annual Conference on Privacy, Security and Trust, PST 2017. Institute of Electrical and Electronics Engineers Inc. 2018. p. 394-396. 8476961 https://doi.org/10.1109/PST.2017.00055