Efficient monitoring for intrusion detection in wireless sensor networks

In wireless sensor networks (WSN), Intrusion Detection through sensor monitoring enables the detection of intricate security attacks such as denial of service and routing attacks. However, the monitoring process, which observes sensor behaviour, can induce a large amount of energy and bandwidth overhead, thus reducing the system lifetime. Furthermore, monitors can be attacked and their observations corrupted, which breaks the system security. Therefore, our goal is the design of a reliable and energy-efficient monitoring system that resists internal security attacks. We present DAMS (Distributed and Adaptable Monitoring System) that extends LEACH protocol with a trust-based and energy-efficient clustering protocols for both cluster heads and monitors election. Compared to other LEACH extensions, the obtained topology reduces monitoring energy overhead, improves the system lifetime, and increases the packet delivery ratio.