TinyTPM: A Novel Lightweight Key Agreement Scheme for Sensor Networks

Author

Chen, Tieming ; Yan, Dujuan ; Bai, Sugang

Volume

3

fYear

2009

fDate

6-8 Jan. 2009

Firstpage

518

Lastpage

522

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Mobile Computing, 2009. CMC '09. WRI International Conference on

Conference_Location

Yunnan

Print_ISBN

978-0-7695-3501-2

Type

conf

DOI

10.1109/CMC.2009.104

Filename

4797307