Hidden Markov Model based Trust Management Model for Underwater Wireless Sensor Networks
Murshedul Arifeen, Dip Bhakta, Sm Rakibul Hasan Remu, Md. Maynul Islam, Mufti Mahmud, M. Shamim Kaiser · 2020
With the massive improvement in sensing techniques, government agencies and researchers are interested in exploring underwater resources by deploying underwater sensor nodes. The harsh random environment and open acoustic channel are the main two challenges for the researchers. In addition, the network is vulnerable due to faulty and compromised node. This paper presents a trust management model based on Hidden Markov Model (HMM) for measuring the trustworthiness of the sensor nodes to combat malicious or internal attack. In addition, we have also suggested a lightweight stream cipher scheme named ChaCha20 to prevent external attack. Mathematical analysis shows that ChaCha20 performs better in terms of energy efficiency which is suitable for UWSN. The numerical results reveals that the proposed methods are able to prevent attacks in UWSNs.