  Recent advances in smart cities applications enforce security threads such as
node replication attacks. Such attack is take place when the attacker plants a
replicated network node within the network. Vehicular Ad hoc networks are
connecting sensors that have limited resources and required the response time
to be as low as possible. In this type networks, traditional detection
algorithms of node replication attacks are not efficient. In this paper, we
propose an initial idea to apply a newly adapted statistical methodology that
can detect node replication attacks with high performance as compared to
state-of-the-art techniques. We provide a sufficient description of this
methodology and a road-map for testing and experiment its performance.
