Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form
D-Scholarship @ Pitt Banner and Links to Homepage

A novel approach to trust management in unattended wireless sensor networks

Ren, Y and Zadorozhny, VI and Oleshchuk, VA and Li, FY (2014) A novel approach to trust management in unattended wireless sensor networks. IEEE Transactions on Mobile Computing, 13 (7). 1409 - 1423. ISSN 1536-1233

[img] Plain Text (licence)
Available under License : See the attached license file.
Download (1kB)

Abstract

Unattended Wireless Sensor Networks (UWSNs) are characterized by long periods of disconnected operation and fixed or irregular intervals between sink visits. The absence of an online trusted third party implies that existing WSN trust management schemes are not applicable to UWSNs. In this paper, we propose a trust management scheme for UWSNs to provide efficient and robust trust data storage and trust generation. For trust data storage, we employ a geographic hash table to identify storage nodes and to significantly decrease storage cost. We use subjective logic based consensus techniques to mitigate trust fluctuations caused by environmental factors. We exploit a set of trust similarity functions to detect trust outliers and to sustain trust pollution attacks. We demonstrate, through extensive analyses and simulations, that the proposed scheme is efficient, robust and scalable. © 2002-2012 IEEE.

Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Ren, Y
Zadorozhny, VI
Oleshchuk, VA
Li, FY
Date: 1 January 2014
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: IEEE Transactions on Mobile Computing
Volume: 13
Number: 7
Page Range: 1409 - 1423
DOI or Unique Handle: 10.1109/tmc.2013.22
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 1536-1233
Date Deposited: 15 Jul 2013 19:51
Last Modified: 25 Jan 2019 23:55
URI: http://d-scholarship.pitt.edu/id/eprint/19289

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com

Actions (login required)

View Item View Item