水利遥感数据多层次安全计算卸载系统设计与优化

Design and optimization of a multi-level secure computation offloading system for water conservancy remote sensing data

摘要:

针对水利遥感数据海量增长导致的计算效率低下、实时处理要求高，以及传输过程中的数据安全隐患增加等问题，提出一种基于云-边-端协同的多层次安全计算卸载系统。构建涵盖卸载决策、传输功率提升与计算资源分配的联合优化模型，建立数据安全分级机制，将不同保密等级水利数据的安全需求转化为硬性卸载约束，旨在满足在最大容忍时延前提下最小化系统能耗与时延的加权总成本。鉴于该联合优化模型属于典型的非确定性多项式难度问题，提出一种改进遗传算法，引入自适应动态调整交叉变异概率策略和局部搜索机制，增强算法全局寻优能力。仿真实验结果表明，改进遗传算法能有效克服传统算法易陷入局部最优的缺陷，在严格保证涉密数据安全约束的同时，显著降低系统计算成本并提升处理效率。研究成果可实现水利数据处理性能与安全性的最佳折衷，为洪水监测、水资源调查等水利业务提供高效安全的技术支撑。

Abstract:

To address computational inefficiency, high real-time processing demands, and elevated data security risks arising from the massive growth of water conservancy remote sensing data, this study proposed a multi-level secure computation offloading system based on cloud-edge-device collaboration. A joint optimization model encompassing offloading decisions, transmission power improvement, and computational resource allocation was constructed. A data security classification mechanism translated the security requirements of water conservancy data at different confidentiality levels into hard offloading constraints, aiming to minimize the weighted total cost of system energy consumption and latency while respecting maximum tolerable delay. Given that this joint optimization model was an NP-hard problem, an improved genetic algorithm was introduced, incorporating adaptive dynamic adjustment of crossover and mutation probabilities and a local search mechanism to enhance global optimization capability. Simulation results indicated that the improved genetic algorithm effectively overcame the tendency of traditional algorithms to be trapped in local optima, strictly ensured security constraints for classified data, and significantly reduced computational costs while improving processing efficiency. The proposed system achieves an optimal trade-off between performance and security, providing efficient and secure technical support for water management applications such as flood monitoring and water resource surveys.