The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Efficient and provably secure aggregation of encrypted data in wireless sensor networks
Abstract
Wireless sensor networks (WSNs) are composed of tiny devices with limited computation and battery capacities. For such resource-constrained devices, data transmission is a very energy-consuming operation. To maximize WSN lifetime, it is essential to minimize the number of bits sent and received by each device. One natural approach is to aggregate sensor data along the path from sensors to the sink. Aggregation is especially challenging if end-to-end privacy between sensors and the sink (or aggregate integrity) is required. In this article, we propose a simple and provably secure encryption scheme that allows efficient additive aggregation of encrypted data. Only one modular addition is necessary for ciphertext aggregation. The security of the scheme is based on the indistinguishability property of a pseudorandom function (PRF), a standard cryptographic primitive. We show that aggregation based on this scheme can be used to efficiently compute statistical values, such as mean, variance, and standard deviation of sensed data, while achieving significant bandwidth savings. To protect the integrity of the aggregated data, we construct an end-to-end aggregate authentication scheme that is secure against outsider-only attacks, also based on the indistinguishability property of PRFs.
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Cites
A method for obtaining digital signatures and public-key cryptosystems
Rivest, R. L., Shamir, A., & Adleman, L. (1978) · Communications of the ACM · doi:10.1145/359340.359342 · Cited by 13,462
Cited by
A Lightweight Privacy-Preserving Data Aggregation Scheme for Fog Computing-Enhanced IoT
Lu, R., Heung, K., Lashkari, A. H., & Ghorbani, A. A. (2017) · IEEE Access · doi:10.1109/access.2017.2677520 · Cited by 478
Trust mechanisms in wireless sensor networks: Attack analysis and countermeasures
Yu, Y., Li, K., Zhou, W., & Li, P. (2012) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2011.03.005 · Cited by 353
A privacy-preserving sensory data sharing scheme in Internet of Vehicles
Kong, Q., Lu, R., Ma, M., & Bao, H. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2017.12.003 · Cited by 85
An efficient data aggregation scheme with local differential privacy in smart grid
Gai, N., Xue, K., Zhu, B., Yang, J., Liu, J., & He, D. (2022) · Digital Communications and Networks · doi:10.1016/j.dcan.2022.01.004 · Cited by 78
PADP: Efficient Privacy-Preserving Data Aggregation and Dynamic Pricing for Vehicle-to-Grid Networks
Chen, L., Zhou, J., Chen, Y., Cao, Z., Dong, X., & Choo, K.-K. R. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3041117 · Cited by 44
Metadata
- Authors
- Castelluccia, C., Chan, A. C.-F., Mykletun, E., & Tsudik, G.
- Venue
- ACM Transactions on Sensor Networks
- Published
- 2009-05
- Volume
- 5
- Issue
- 3
- Pages
- 1-36
- ISSN
- 1550-4859 (ISSN-L)
- 1550-4867
- OpenAlex
- W2027423568
- Cited by
- 331
- References
- 1
- FWCI
- 24.83
- Type
- journal article
- Language
- en
- Open access
- closed
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- Castelluccia, C., Chan, A. C.-F., Mykletun, E., & Tsudik, G. (2009). Efficient and provably secure aggregation of encrypted data in wireless sensor networks. ACM Transactions on Sensor Networks. https://doi.org/10.1145/1525856.1525858
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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