Doctoral Thesis DIS-2008-01

BibliographyWacker, Arno Rüdiger: Key Distribution Schemes for Resource-Constrained Devices in Wireless Sensor Networks.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Doctoral Thesis (2008).
171 pages, english.
CR-SchemaD.4.4 (Operating Systems Communications Management)
D.2.12 (Software Engineering Interoperability)
C.2.4 (Distributed Systems)
C.2.1 (Network Architecture and Design)
KeywordsSchlüsselaustausch , Drahtlose Sensornetze , Sicherheit , Ressourcenbeschränkung, Kryptographie, pervasive computing, key exchange, wireless sensor networks, ressource-constrained, key distribution, cryptography
Abstract

Key Distribution Schemes for Resource-Constrained Devices in Wireless Sensor Networks Wireless sensor networks based on highly resource-constrained devices require symmetric cryptography in order to make them secure. Integral to this is the exchange of unique symmetric keys between two devices. In this dissertation, we propose three novel decentralized key distribution schemes that guarantee the confidentiality of a key exchange even if an attacker has compromised some of the devices in the network.

Our first key distribution scheme - the basic key distribution scheme - guarantees the confidentiality of any new established key in case there are only eavesdropping attacker and no device failures present. Our second scheme - the fault-tolerant key distribution scheme - extends the basic scheme so that also more powerful attackers and device failures can be handled. Our third proposed key distribution scheme - the extended key distribution scheme - is also based on the basic scheme but further optimized in terms of memory consumption and network traffic.

A central objective of all key distribution scheme designs was to minimize resource consumption on the individual devices. We evaluate the resource requirements of our schemes in terms of attacker resilience, memory requirements, and network traffic both through theoretical analysis and through simulations.

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ContactKontakt: arno.wacker@uni-due.de
Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems
Entry dateApril 15, 2008
   Publ. Computer Science