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Cited by 1,612

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TinySec: a link layer security architecture for wireless sensor networks

Karlof, Chris, Sastry, Naveen, Wagner, David·2004·Proceedings of the 2nd international conference on Embedded networked sensor systems

Abstract

We introduce TinySec, the first fully-implemented link layer security architecture for wireless sensor networks. In our design, we leverage recent lessons learned from design vulnerabilities in security protocols for other wireless networks such as 802.11b and GSM. Conventional security protocols tend to be conservative in their security guarantees, typically adding 16--32 bytes of overhead. With small memories, weak processors, limited energy, and 30 byte packets, sensor networks cannot afford this luxury. TinySec addresses these extreme resource constraints with careful design; we explore the tradeoffs among different cryptographic primitives and use the inherent sensor network limitations to our advantage when choosing parameters to find a sweet spot for security, packet overhead, and resource requirements. TinySec is portable to a variety of hardware and radio platforms. Our experimental results on a 36 node distributed sensor network application clearly demonstrate that software based link layer protocols are feasible and efficient, adding less than 10% energy, latency, and bandwidth overhead.

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Metadata

Authors
Karlof, C., Sastry, N., & Wagner, D.
Venue
Proceedings of the 2nd international conference on Embedded networked sensor systems
Publisher
ACM
Published
2004-11-03
Pages
162-175
OpenAlex
W2114495437
Cited by
1,612
References
1
FWCI
46.95
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: TinySec: a link layer security architecture for wireless sensor networks. https://app.cochat.ai/papers/10.1145/1031495.1031515
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Karlof, C., Sastry, N., & Wagner, D. (2004). TinySec: a link layer security architecture for wireless sensor networks. Proceedings of the 2nd international conference on Embedded networked sensor systems. https://doi.org/10.1145/1031495.1031515

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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.