水下移动传感器网络中多维度动态信任管理机制研究

水下无线传感器网络是实现“智慧海洋”的核心模块。目前，水下无线传感器网络在复杂水环境，尤其在节点移动的场景下还未能充分发挥作用，根本原因在于缺乏有效的方法保证网络安全性和可靠数据传输。本课题将在我们前期研究工作的基础上，深入解析水下移动传感器网络环境中的信任管理机制，主要研究内容包括：1）拟采用卡尔曼滤波等理论，研究水下传感器节点的移动预测模型；2）拟采用复杂网络等基础理论，研究水下移动传感器网络动态网络拓扑建模，探索网络拓扑的动态演化规律；3）拟采用确定性理论，在跨层式信任证据收集的基础上，研究多维度信任计算方法，提高不确定性水环境中节点信任评估精度；4）拟采用云理论，在网络拓扑动态演化规律分析的基础上，进一步研究信任在时间维度和空间维度上的动态更新，实现高精度、低开销、高效率、低成本的信任管理机制。本课题的研究对探索水下移动传感器网络安全技术及应用具有重要的理论价值和实际意义。

Underwater Wireless Sensor Network is the core module for realizing the vision of “Intelligence Ocean”. However, it has not been fully utilized in complex underwater environment, especially in the scene with mobile nodes, due to the lacking of effective methods for ensuring network security and reliable data transmission. Based on our previous research works, this project is to study the trust management mechanism in underwater mobile sensor networks. The main contents include : 1) The theories, e.g., the Kalman Filtering, are adopted to study the movement prediction model of underwater sensor nodes; 2) The Complex Network theory is adopted to model the dynamic network topology of underwater mobile sensor networks, and explore dynamic evolution rules of network topology; 3) Based on the cross-layer trust evidence collection, the Confirmation theory is adopted to study the calculation method of multidimensional trust, to improve the trust evaluation accuracy of sensor nodes in uncertainty underwater environment; 4) Based on the analysis of dynamic network topology evolution rules, the Cloud theory is adopted to further study the trust dynamic update in terms of time and space dimensions, to achieve an accurate and efficient trust management mechanism with low communication and hardware overheads. The project is of great theoretical value and practical significance to the network security technology and its applications in underwater mobile sensor networks.