A novel Trust-Based Cross-Layer Model for Wireless Sensor Networks

Abstract

Wireless Sensor Networks (WSNs) are vulnerable to attacks (selfish or malicious i.e. misbehaving nodes) due to the nature of the wireless media, restricted resource and the natural co-operations of sensors. Therefore, the security issue is very critical in WSN. The decision making in a WSN is essential for carrying out certain tasks as it aids sensors establish collaborations. In order to assist this process, trust management models could play a relevant role. Up to our knowledge, there is no one used the cross-layer concept in computing and updating the trust values. So, this paper presents new model for trust in WSN, called A Trust-Based Cross-Layer Model, which use cross-layer concept (ACKs from data link layer and TCP layer) to design trust'based model for sensor networks that guarantee the trust route from source to sink and isolate the malicious node. The simulation results and analysis show that our model is scalable and its display high performance even if the percent of malicious nodes is high.