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A key management based on multiple regression in hierarchical sensor network

Title
A key management based on multiple regression in hierarchical sensor network
Authors
Kim M.Doh I.Chae K.
Ewha Authors
채기준김미희도인실
SCOPUS Author ID
채기준scopus; 도인실scopus
Issue Date
2007
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN
0302-9743JCR Link
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) vol. 4298 LNCS, pp. 267 - 281
Indexed
SCOPUS scopus
Document Type
Conference Paper
Abstract
To lead a present communication paradigm to ubiquitous world, sensor networking is a core technology. Especially guaranteeing secure communication between sensor nodes is critical in hostile environments, and key management is one of the most fundamental security services to achieve it. However, because the structure of sensor networks can be very various according to their application, there can not exist the best solution for all applications. Thus, we design a key management scheme on hierarchical sensor network, to take advantage of the topology. To support both scalability and resilience against node capture, we apply a multiple regression model to key generation, calculation and extension. The proposed scheme is based on the key pre-distribution, but provides the key re-distribution method for key freshness. To overcome the weakness of centralized management, the role of key management is partially distributed to aggregators as well as a sink. These management nodes need not store keys except them for re-distribution, and can calculate them easily using key information from nodes, as needed. Performance results show that the proposed scheme can be applied efficiently in hierarchical sensor network compared with other key managements. © Springer-Verlag Berlin Heidelberg 2007.
ISBN
9783540710929
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
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