Dynamic solution for detecting Denial of Service attacks in wireless sensor networks

In this paper, we propose a novel dynamic approach for detecting Denial of Service (DoS) attacks in cluster-based sensor networks. Our method is based on the election of controller nodes called cNodes which observe and report DoS attack activities. Each cluster contains cNodes and normal sensor nodes. The role of a cNode is to analyze traffic and to send back a warning to the cluster head if any abnormal traffic is detected. The election of these cNodes is dynamic, and done periodically and based on a Multiplicative Linear-Congruential Generator (MLCG). The proposed dynamic solution can improve the network lifetime by minimizing the energy consumption for each sensor node and can improve security by preventing attacks.