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Cited by 300

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A dynamic user authentication scheme for wireless sensor networks

K. H. Wong, Yuan Zheng, Jiannong Cao, Shengwei Wang·2006·Sensor Networks, Ubiquitous, and Trustworthy Computing

Abstract

In this paper, we consider user authentication (UA) for wireless sensor networks. UA is a fundamental issue in designing dependable and secure systems. Imagine that a wireless sensor network is deployed in an intelligent building, a hospital, or even a university campus, to allow legitimate users to send queries and retrieve the respective result at any of the sensor nodes. Importantly, the system needs to provide a means of user authentication to verify if the user is valid. We propose a dynamic strong-password based solution to this access control problem and adapt it into a wireless sensor network environment. The proposed strong-password authentication approach imposes very light computational load and requires simple operations, such as one-way hash function and exclusive-OR operations. We present the design of the proposed scheme and discuss how to make use of the security features on MAC sublayer (medium access control) based on the IEEE 802.15.4 specification. Analysis on security and communication costs is presented to evaluate the effectiveness of the proposed scheme.

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Metadata

Authors
Wong, K. H., Zheng, Y., Cao, J., & Wang, S.
Venue
Sensor Networks, Ubiquitous, and Trustworthy Computing
Published
2006-06-05
Volume
1
Pages
244-251
OpenAlex
W2122126819
Cited by
300
References
8
FWCI
5.13
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A dynamic user authentication scheme for wireless sensor networks. https://app.cochat.ai/papers/10.1109/sutc.2006.6
The paper
Wong, K. H., Zheng, Y., Cao, J., & Wang, S. (2006). A dynamic user authentication scheme for wireless sensor networks. Sensor Networks, Ubiquitous, and Trustworthy Computing. https://doi.org/10.1109/sutc.2006.6

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.