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TIGER: A trust-based intelligent geographical energy-aware routing for smart grid communication networks

Citation

Xiang, M and Liu, W and Bai, Q, TIGER: A trust-based intelligent geographical energy-aware routing for smart grid communication networks, Proceedings of the 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 16-18 July 2013, Melbourne, Australia, pp. 65-72. ISBN 9780769550220 (2013) [Refereed Conference Paper]

Copyright Statement

Copyright 2013 IEEE

DOI: doi:10.1109/TrustCom.2013.12

Abstract

Smart Grid introduces modern information technologies such as the two-way digital communication networks, the automation control techniques and smart metering into the traditional power grid to provide efficient and intelligent electricity supply services to customers. The wireless mesh network (WMN) technology is a promising infrastructure to underpin and support these smart functionalities flexibly and scalably, and also provide redundant routes to enhance the network availability. However, WMN is vulnerable to some cyber-attacks. The importance of the underlie communication networks in Smart Grid can be analogized as the same criticality as the central nervous system such as brain and the spinal cord in human body, thus these security concerns become most critical and need to be addressed before WMN based Smart Grid becomes a reality. In this paper, we propose a new trust-based routing scheme, named as Trust-based Intelligent Geographical Energy-aware Routing (TIGER), to integrate trust, geographical information, and energy consumption considerations into a novel metric for making routing decision. The extensive simulation studies have confirmed that TIGER algorithms show promises for synthesizing trust, distance and energy factors to effectively detect and avoid malicious attacks in WMN based Smart Grid environment.

Item Details

Item Type:Refereed Conference Paper
Keywords:trust-based routing, energy efficient, smart grid, vulnerability and attacks, wireless mesh network
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Intelligent robotics
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Application software packages
UTAS Author:Bai, Q (Dr Quan Bai)
ID Code:140714
Year Published:2013
Web of Science® Times Cited:2
Deposited By:Information and Communication Technology
Deposited On:2020-09-02
Last Modified:2020-12-18
Downloads:0

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