Abstract
Wireless Sensor Networks (WSNs) have been substituting
for human senses to make human lives better by monitoring the environment and providing intelligence. Collected sensor data are used to make
decisions as a human does. Therefore, providing trustworthy sensor data
is crucial to make correct decisions. However, faulty sensors can give in-
correct information. In addition, since sensors are usually deployed in
unattended areas and can be compromised, cryptographic approaches
are insucient. To address this problem, we propose a distance-based
trustworthiness assessment scheme. In our scheme, a centralized trust
assessment module outputs an absolute trust score of each sensed value
and the trust score of each sensor. The trust scores of sensed values are
calculated based on the differences of sensed values provided by a sensor
and its neighbors and the physical distances from the neighbors. Our
simulation results show that our scheme outputs practical and accurate
trust scores in a realistic environment where the sensed values of interest
gradually change over the monitored areas.
