Cooperation among sensor nodes and the unreliability of acoustic channels are the significant challenges in underwater acoustic sensor networks (UASNs). In UASNs, the unreliability may results in high packet loss due to the high bit-error-rate and packets being dropped due to network congestion. High packet loss decreases the transmission rate in a network. An effective secure transmission mechanism is very much essential among the nodes in UASNs. In this paper, a trust strategy-based dynamic Bayesian game (TSDBG) model is proposed to resolve these problems. In TSDBG, a secure suite is created among the nodes in the network. Trust and Payoff are calculated for each node to evaluate the particular node involved in the packet-dropping and misbehaving activities that occurred during the transmission. Each node updates its trust value using Bayes' rule. Regular nodes are continuously monitored to analyze their neighbor nodes based on trust value. The simulation results reveal that the proposed scheme significantly reduces the packet-dropping attack, misbehaving activities of malicious nodes, propagation delay, and thereby enhancing secure transmission.

传感器节点之间的协作以及声通道的不可靠性是水下声传感器网络（UASN）的重大挑战。在UASN中，由于高误码率和网络拥塞导致数据包丢失，不可靠性可能导致高数据包丢失。高丢包率会降低网络的传输速率。有效的安全传输机制在UASN中的节点之间非常重要。本文提出了一种基于信任策略的动态贝叶斯博弈模型（TSDBG）来解决这些问题。在TSDBG中，在网络中的节点之间创建了一个安全套件。为每个节点计算“信任”和“支付”，以评估在传输过程中发生的丢包和行为异常活动中涉及的特定节点。每个节点使用贝叶斯算法更新其信任值 规则。定期监视常规节点，以基于信任值分析其邻居节点。仿真结果表明，该方案显着降低了丢包攻击，恶意节点行为不当，传播延迟，从而增强了安全传输。