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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
- 채기준; 김미희; 도인실
- SCOPUS Author ID
- 채기준; 도인실
- Issue Date
- 2007
- Journal Title
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
- ISSN
- 0302-9743
- 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
- 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:
- 인공지능대학 > 컴퓨터공학과 > Journal papers
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