Dynamic and adaptive detection method for flooding in wireless sensor networks

Abstract

Summary In recent years, wireless sensor networks (WSNs) have attracted an increasing attention in several fields. However, WSNs must be treated with significant challenges in their design due to their special characteristics such as limited energy, processing power, and data storage that make the energy consumption saving a real challenge. Also, regarding their distributed deployment in open radio frequency and lack of physical security, these networks are vulnerable and exposed to several attacks: passive eavesdropping, active attacks, and identity theft. In this paper, we propose a new method called accordion method to detect and apprehend denial of service attacks in WSNs. This approach is a dynamic and an adaptive method based on using clustering method which allows electing control nodes that analyze the traffic inside a cluster and send warnings to the cluster head whenever an abnormal behavior is suspected or detected. The proposed method relies on the analysis of the evolution of the threshold messages (alerts) sent in the cluster. The proposed method has been evaluated, and the obtained numerical results show its benefit compared with other detection methods.

Attacks classification and security mechanisms in Wireless Sensor Networks

“…Indeed, one or several malicious nodes propagate many connection requests and carry out a regular massive sending to a strong emission power until exhausting the resources required the connection or reaching a maximum limit in order to saturate the network and prevent legitimate nodes from establishing communications which exhaust the resources (memory and energy) and reduce availability. One proposed solution to this attack is to demonstrate the commitment to this connection or to put a limit on the number of connections from a particular node [74] [75].…”