A key management based on multiple regression in hierarchical sensor network

Mihui Kim, Inshil Doh, Kijoon Chae

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publicationInformation Security Applications - 7th International Workshop, WISA 2006 Revised Selected Papers
PublisherSpringer Verlag
Number of pages15
ISBN (Print)9783540710929
StatePublished - 2007
Event7th International Workshop on Information Security Applications, WISA 2006 - Jeju Island, Korea, Republic of
Duration: 28 Aug 200630 Aug 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4298 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference7th International Workshop on Information Security Applications, WISA 2006
Country/TerritoryKorea, Republic of
CityJeju Island


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