Group-based trust management scheme for clustered wireless sensor networks

Tools

Shaikh, Riaz Ahmed ORCID: https://orcid.org/0000-0001-6666-0253, Jameel, Hassan, d'Auriol, Brian J., Lee, Heejo, Lee, Sungyoung and Song, Young Jae (2009) Group-based trust management scheme for clustered wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 20 (11). pp. 1698-1712. ISSN 1045-9219

Full text not available from this repository. (Request a copy)

Abstract

Traditional trust management schemes developed for wired and wireless ad hoc networks are not well suited for sensor networks due to their higher consumption of resources such as memory and power. In this work, we propose a new lightweight Group-based Trust Management Scheme (GTMS) for wireless sensor networks, which employs clustering. Our approach reduces the cost of trust evaluation. Also, theoretical as well as simulation results show that our scheme demands less memory, energy, and communication overheads as compared to the current state-of-the-art trust management schemes and it is more suitable for large-scale sensor networks. Furthermore, GTMS also enables us to detect and prevent malicious, selfish, and faulty nodes.

Item Type:	Article
Additional Information:	Funding Information: This research was supported by the MKE (Ministry of Knowledge Economy), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute of Information Technology Advancement) (IITA-2009-(C1090-0902-0002)) and was supported by the IT R&D program of MKE/KEIT [10032105, Development of Realistic Multiverse Game Engine Technology]. This work also was supported by the Brain Korea 21 projects and Korea Science & Engineering Foundation (KOSEF) grant funded by the Korea government (MOST) (No. 2008-1342). The corresponding author is Sungyoung Lee.
Uncontrolled Keywords:	security,sensor networks,trust evaluation,trust management,trust modeling,signal processing,hardware and architecture,computational theory and mathematics ,/dk/atira/pure/subjectarea/asjc/1700/1711
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	16 Aug 2022 15:31
Last Modified:	07 May 2023 06:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/87335
DOI:	10.1109/TPDS.2008.258

Actions (login required)

View Item