A Hybrid Trust Management Scheme for Wireless
V. S. Ananthanarayana
Published online: 14 August 2017
Ó Springer Science+Business Media, LLC 2017
Abstract Wireless sensor network (WSN) consists of wireless small sensor nodes
deployed in the terrain for continuous observation of physical or environmental conditions.
The data collected from the WSN is used for making decisions. The condition for making
critical decision is to assure the trustworthiness of the data generated from sensor nodes.
However, the approaches for scoring the sensed data alone is not enough in WSN since
there is an interdependency between node and data item. If the overall trust score of the
network is based on one trust component, then the network might be misguided. In this
work, we propose the hybrid approach to address the issue by assigning the trust score to
data items and sensor nodes based on data quality and communication trust respectively.
The proposed hybrid trust management scheme (HTMS) detects the data fault with the help
of temporal and spatial correlations. The correlation metric and provenance data are used
to score the sensed data. The data trust score is utilized for making decision. The com-
munication trust and provenance data are used to evaluate the trust score of intermediate
nodes and source node. If the data item is reliable enough to make critical decisions, a
reward is given by means of adding trust score to the intermediate nodes and source node.
A punishment is given by reducing the trust score of the source and intermediate nodes, if
the data item is not reliable enough to make critical decisions. Result shows that the
proposed HTMS detects the malicious, faulty, selﬁsh node and untrustworthy data.
Keywords Data trustworthiness Á Trust management Á Wireless sensor
& N. Karthik
Department of Information Technology, National Institute of Technology Karnataka, Mangalore,
Wireless Pers Commun (2017) 97:5137–5170