DocumentCode
1540614
Title
Matrix-based memory efficient symmetric key generation and pre-distribution scheme for wireless sensor networks
Author
Khan, Eraj ; Gabidulin, Ernst ; Honary, Bahram ; Ahmed, Hameeza
Author_Institution
Sch. of Comput. & Commun., Lancaster Univ., Lancaster, UK
Volume
2
Issue
2
fYear
2012
fDate
6/1/2012 12:00:00 AM
Firstpage
108
Lastpage
114
Abstract
As wireless sensor networks (WSN) have gained popularity due to their broader applications areas, so does the need for effective security mechanisms. Encryption can be used to protect data communication, but severe resource constraints in WSN make necessary key distribution very difficult. This study addresses the problem of key establishment in WSN using a key pre-distribution scheme. In this study, the authors have proposed a symmetric key generation and pre-distribution scheme, using a symmetric matrix and generator matrix of maximum rank distance (MRD) codes. Sensor nodes are divided into groups and some information is stored at each node to enable it to generate link keys. This node division substantially improves the memory required at each node, which is approximately equal to the group size. The proposed scheme also reduces the communication overhead to setup a link key. It requires only two messages to setup a link key between any two nodes. Furthermore this scheme also provides the highest level of network connectivity and scalability. Any two nodes in the network can establish a link key and new nodes can be added at any time without changing any information on previously deployed nodes.
Keywords
cryptography; data communication; matrix algebra; wireless sensor networks; WSN; data communication; encryption; generator matrix; key pre-distribution scheme; matrix-based memory efficient symmetric key generation; maximum rank distance codes; sensor nodes; symmetric matrix; wireless sensor networks;
fLanguage
English
Journal_Title
Wireless Sensor Systems, IET
Publisher
iet
ISSN
2043-6386
Type
jour
DOI
10.1049/iet-wss.2011.0097
Filename
6217964
Link To Document