Publication Details

Smart dust security - key infection revisited

ŠVENDA Petr and CVRČEK Daniel. Smart dust security - key infection revisited. In: STM 2005. ENTCS, vol. 157. Milano, 2005, pp. 11-25. ISSN 1571-0661.
Czech title
Smart dust security - key infection revisited
Type
conference paper
Language
english
Authors
Švenda Petr, Mgr. (FI MUNI)
Cvrček Daniel, doc. Ing., Ph.D. (DITS FIT BUT)
Keywords

Sensor network, key management, key infection, key predistribution, smart dust, amplification, protocol

Abstract

Sensor network is a notion denoting an interesting subset of self-organising wireless networks. These networks are rather dense as each node have typically more than dozen neighbours, and large with tens to hundreds thousands of nodes. Applications of such networks assume distributed environmental sensing performed by each sensor in the network, where data from a particular sensor gain value only when combined with data from a relatively high number of other sensors. One of the open security questions in this specific environment is a possibility to lower requirements on key distribution and key management and thus decrease production costs. One of the possible ways is ``key infection''. The paper recaps a protocol and already published results. It also elaborates the concept of key infection by introducing a new variant of security amplification protocol, and presents some interesting results obtained by simulations.

Published
2005
Pages
11-25
Journal
Electronic Notes in Theoretical Computer Science, vol. 157, no. 3, ISSN 1571-0661
Proceedings
STM 2005
Series
ENTCS
Conference
International Workshop on Security and Trust Management, Milano, IT
Publisher
Elsevier Science
Place
Milano
BibTeX
@INPROCEEDINGS{FITPUB7821,
   author = "Petr \v{S}venda and Daniel Cvr\v{c}ek",
   title = "Smart dust security - key infection revisited",
   pages = "11--25",
   booktitle = "STM 2005",
   series = "ENTCS",
   journal = "Electronic Notes in Theoretical Computer Science",
   volume = 157,
   number = 3,
   year = 2005,
   location = "Milano, ",
   ISSN = "1571-0661",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/7821"
}
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