Abstract:
Abstract— Sensor networks are used for monitoring purposes in
different environments. One of the biggest issues is to keep the
network alive as long as possible. Another concern is to keep it
safe from attacks. The limitations of sensor nodes make them
particularly vulnerable to attacks from adversaries. The most
damaging type of attack is Denial of Service (DoS) attack where
parts of the network are overloaded with a flood of requests
forcing them to deplete their power and die early. In this paper,
we introduce a set of metrics by which intruders are identified
among the other nodes. This approach is characterized by the
fact that identification of intruders is based on the intrinsic
behavior that is either harmful or not beneficial to the network.
At the same time our approach saves the network power by
taking advantage of network redundancy, and query minimum
number of nodes without affecting the accuracy of the results.
We tested different intruder detection metrics to see if we can
accurately find intruders in the sensor network and how early to
save the network from damage. Our results show the
effectiveness of these metrics in detecting intruders with 100%
accuracy and 0 error rate from some of them.
