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Hierarchical Trust Management for Wireless Sensor Networks and its Applications to Trust-Based Routing and Intrusion Detection

Platform : DOT NET

IEEE Projects Years : 2012 - 13

Hierarchical Trust Management for
Wireless Sensor Networks and its Applications to
Trust-Based Routing and Intrusion Detection

Abstract—We propose a highly scalable cluster-based hierarchical
trust management protocol for wireless sensor networks
(WSNs) to effectively deal with selfish or malicious nodes. Unlike
prior work, we consider multidimensional trust attributes derived
from communication and social networks to evaluate the overall
trust of a sensor node. By means of a novel probability model,
we describe a heterogeneous WSN comprising a large number
of sensor nodes with vastly different social and quality of service
(QoS) behaviors with the objective to yield “ground truth” node
status. This serves as a basis for validating our protocol design
by comparing subjective trust generated as a result of protocol
execution at runtime against objective trust obtained from actual
node status. To demonstrate the utility of our hierarchical trust
management protocol, we apply it to trust-based geographic
routing and trust-based intrusion detection. For each application,
we identify the best trust composition and formation to
maximize application performance. Our results indicate that
trust-based geographic routing approaches the ideal performance
level achievable by flooding-based routing in message delivery
ratio and message delay without incurring substantial message
overhead. For trust-based intrusion detection, we discover that
there exists an optimal trust threshold for minimizing false
positives and false negatives. Furthermore, trust-based intrusion
detection outperforms traditional anomaly-based intrusion detection
approaches in both the detection probability and the false
positive probability.


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