Title :
TinyTPM: A Novel Lightweight Key Agreement Scheme for Sensor Networks
Author :
Chen, Tieming ; Yan, Dujuan ; Bai, Sugang
Abstract :
The security of Wireless Sensor Networks (WSN) has been widely concerned due to its special properties. This paper introduces a novel mutual learning neural network model, named Tree Parity Machine, for weight synchronization. Then a lightweight Tree Parity Machine-based key agreement scheme for sensor networks, named TinyTPM, is proposed. Using NesC programming language in TinyOS-based development environment, the design and implementation of a TinyTPM-based key agreement protocol are presented. At final, the run of such TinyTPM-based protocol is simulated with correct results.
Keywords :
neural nets; protocols; telecommunication computing; telecommunication security; wireless sensor networks; NesC programming language; TinyTPM; Tree Parity Machine; learning neural network model; protocols; weight synchronization; wireless sensor network security; Biomedical monitoring; Bismuth; Computer networks; Data security; Machine learning; Mobile communication; Neural networks; Protocols; Sensor systems; Wireless sensor networks; key agreement; mutual learning; nueral network; sensor networks; tree parity machine;
Conference_Titel :
Communications and Mobile Computing, 2009. CMC '09. WRI International Conference on
Conference_Location :
Yunnan
Print_ISBN :
978-0-7695-3501-2
DOI :
10.1109/CMC.2009.104
