TIGER: A Trust-based Intelligent Geographical Energy-aware Routing for Smart Grid Communication Networks

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.

[1]  Nei Kato,et al.  A survey of routing attacks in mobile ad hoc networks , 2007, IEEE Wireless Communications.

[2]  William Stallings,et al.  THE ADVANCED ENCRYPTION STANDARD , 2002, Cryptologia.

[3]  Audun Jøsang,et al.  The right type of trust for distributed systems , 1996, NSPW '96.

[4]  Ahmed Helmy,et al.  Location-centric isolation of misbehavior and trust routing in energy-constrained sensor networks , 2004, IEEE International Conference on Performance, Computing, and Communications, 2004.

[5]  K. J. Ray Liu,et al.  A scalable multicast key management scheme for heterogeneous wireless networks , 2004, IEEE/ACM Transactions on Networking.

[6]  Mohsen Guizani,et al.  Cognitive radio based hierarchical communications infrastructure for smart grid , 2011, IEEE Network.

[7]  Inhyuk Kim,et al.  NeoMAN: Negotiation Management Method for IKE Protocol Based on X.509 , 2008, 2008 International Conference on Advanced Language Processing and Web Information Technology.

[8]  Todd Baumeister,et al.  Literature Review on Smart Grid Cyber Security , 2010 .

[9]  P. Georgiadis,et al.  Performance evaluation of a self-evolving trust building framework , 2005, Workshop of the 1st International Conference on Security and Privacy for Emerging Areas in Communication Networks, 2005..

[10]  Hamid Sharif,et al.  A Survey on Smart Grid Communication Infrastructures: Motivations, Requirements and Challenges , 2013, IEEE Communications Surveys & Tutorials.

[11]  Robert C. Green,et al.  A multi-level communication architecture of smart grid based on congestion aware wireless mesh network , 2011, 2011 North American Power Symposium.

[12]  Antonio Liotta,et al.  A wireless mesh communication protocol for smart-metering , 2012, 2012 International Conference on Computing, Networking and Communications (ICNC).

[13]  Mohd Anwar,et al.  Trust-Based Approaches to Solve Routing Issues in Ad-Hoc Wireless Networks: A Survey , 2011, 2011IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications.

[14]  Blerim Rexha,et al.  Increasing user privacy in online transactions with X.509 v3 certificate private extensions and smartcards , 2005, Seventh IEEE International Conference on E-Commerce Technology (CEC'05).

[15]  Adi Shamir,et al.  A method for obtaining digital signatures and public-key cryptosystems , 1978, CACM.

[16]  Warwick Ford,et al.  Internet X.509 Public Key Infrastructure Certificate Policy and Certification Practices Framework , 2003, RFC.