Développement d'un mécanisme de détection d'intrusion dans les réseaux de capteurs corporels sans fil (WBANs).

Abstract

In this work, we chose the IEEE 802.15.4 standard as an enabling technology for wireless body area networks. To secure these networks, we examined the beacon mode of the standard from a security perspective to find threats that target network availability. As a result, we have introduced a new attack that exploits the behavior of the standard in the case of periodic traffic to disturb it using as few resources as possible. To complete our work’s objective, we have proposed a countermeasure whose goal is to reduce the damage of this attack and to take back the majority of network resources in the case of a simple attacker. Moreover, we have proposed an algorithm that estimates the natural packet error ratio to detect anomalies in the periodic traffic of IEEE 802.15.4 based networks. To achieve this goal, we had to transform the periods of the nodes in order to capture the seasonality in the traffic. The algorithm did well in terms of false positive and detection ratios.