A Comparative Analysis of Trust Management Models for Wireless Sensor Networks
Conference
Gangwani, P, Perez-Pons, A, Upadhyay, H. (2023). A Comparative Analysis of Trust Management Models for Wireless Sensor Networks
. 10.1109/IFETC57334.2023.10254921
Gangwani, P, Perez-Pons, A, Upadhyay, H. (2023). A Comparative Analysis of Trust Management Models for Wireless Sensor Networks
. 10.1109/IFETC57334.2023.10254921
Wireless Sensor Networks (WSNs) have diverse applications that are progressively becoming a part of our daily lives. WSNs are currently employed in healthcare, smart homes, traffic monitoring, and aircraft to enhance safety. However, due to the significant number of sensor nodes in WSNs, they are often the target of malicious attacks. Thus, there is a necessity for a trust management model that can function as a security mechanism for WSNs by detecting defective or malicious sensor nodes. Once misbehaving nodes are identified, their neighboring nodes can utilize this information to refrain from cooperating with them in functions such as data forwarding and aggregation. Several trust management models have been proposed in the literature to evaluate the trustworthiness of sensor nodes by utilizing their direct and indirect interactions. However, the implementation and interpretation of the trust evaluation criteria in the literature can be challenging due to the lack of available data and the complexity of the trust evaluation scheme. In this paper, we experimentally evaluate three trust management models from the literature. We analyze and compare the effectiveness of these models using different scenarios and determine their effectiveness. The proposed comparative analysis solution serves as a benchmark for future trust management models.
