Abstract
In recent years, wireless sensor networks (WSNs) have become a useful tool for environmental monitoring and information collection due to their strong sensory ability. Whereas WSNs utilize wireless communication and is usually deployed in an outdoors environment, which make them vulnerable to be attacked and then lead to the privacy disclosure of the monitored environment. SUM, as one common query among the queries of WSNs, is important to acquire a high-level understanding of the monitored environment and establish the basis for other advanced queries. In this paper, we present a secure hash-based privacy preservation mechanism called HP2M, which not only preserves the privacy of the monitored environment during SUM aggregation query, but also could achieve exact SUM aggregation. Furthermore, an integrity verification mechanism is proposed to verify the integrity of SUM aggregation result, which could alarm the system once data packets transmitted through the networks are modified. One main characteristic of HP2M and the proposed integrity verification mechanism is that they are lightweight with a small bandwidth consumption. Finally, some numerical experiments are performed to demonstrate the efficiency of our proposed approach.
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Acknowledgment
This work is supported by National Science Foundation of China (No. 61532021, 61772537, 61772536, 61702522), and National Key R & D program of China (No. 2016YFB1000702).
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Liu, Y. et al. (2018). Secure Data Aggregation with Integrity Verification in Wireless Sensor Networks. In: Pei, J., Manolopoulos, Y., Sadiq, S., Li, J. (eds) Database Systems for Advanced Applications. DASFAA 2018. Lecture Notes in Computer Science(), vol 10827. Springer, Cham. https://doi.org/10.1007/978-3-319-91452-7_46
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DOI: https://doi.org/10.1007/978-3-319-91452-7_46
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