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Secured transmission using trust strategy-based dynamic Bayesian game in underwater acoustic sensor networks

机译:在水下声学传感器网络中使用基于信任策略的动态贝叶斯游戏安全传输

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摘要

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.
机译:传感器节点之间的合作以及声道的不可靠性是水下声学传感器网络(UASN)中的重大挑战。在UASN中,由于网络拥塞而导致的高位差速率和分组,不可靠性可能导致高分性损耗。高数据包损耗降低了网络中的传输速率。 UASN中的节点中的有效安全传输机制非常重要。本文提出了一种基于信任战略的动态贝叶斯游戏(TSDBG)模型来解决这些问题。在TSDBG中,在网络中的节点中创建安全套件。计算每个节点的信任和收益,以评估在传输期间发生的分组丢弃和行为行为的特定节点。每个节点使用贝叶斯规则更新其信任值。持续监控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弃攻击,恶意节点的行为行为,传播延迟,从而提高了安全传输。

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