基于改进NSGA2算法的空间网络安全与性能优化

Security and Performance Optimization of Space Networks Based on Improved NSGA2

在空间网络不断发展以及攻击威胁日益增加的背景下,其安全问题得到了研究人员的密切关注。但同时,其性能开销也会增大。为解决空间网络通信安全性、服务性能间的联合优化问题,选取机密性、完整性、可认证性作为安全程度的量化指标,选择时延作为性能指标,建立了网络安全与通信性能间的多目标优化模型。提出了一种ISN-NSGA2算法和纳什议价博弈的多目标优化决策方案。算法利用自适应锦标赛选择算子,促进种群较快收敛;运用基于拥挤熵的个体动态排挤机制代替拥挤距离一次性排挤,维持种群分布性;在得到一组非支配解后,使用合作博弈纳什议价模型进行折中决策。在6个基准多目标测试函数上对算法进行了性能测试,实验结果表明解的均匀性和收敛度均得到了很好的提升。采用该方案对模型求解,能够在适应网络安全和性能需求的情况下,从Pareto解集中选出使网络整体收益最大的最终决策解,有效实现两者的折中优化。

In the context of the continuous development of space networks and the increasing threat of attacks,the security of space networks has received close attention from researchers.At the same time,its performance overhead will also increase.Aiming at the joint optimization problem between communication security and service performance of space networks,a multi-objective optimization model is constructed by selecting confidentiality,integrity,and authenticity as quantitative indicators of security degree and time delay as a measure of performance.An ISN-NSGA2 algorithm combined with Nash bargaining game is proposed for multi-objective optimization decision.The algorithm utilizes an adaptive tournament selection operator to promote faster population convergence,uses an individual dynamic crowding mechanism based on crowding entropy instead of one-time crowding at crowding distance to maintain population distribution,and uses a cooperative game Nash bargaining model for compromise decision making after obtaining a set of non-dominated solutions.The performance of the proposed algorithm is tested on six standard multi-objective test functions,and the experimental results show that the uniformity and convergence of the solution are well improved.Finally,using such scheme to solve the model,the decision solution that maximizes the overall network benefit can be selected from the Pareto solution set while adapting to the network security and performance requirements,effectively achieving the compromise optimization of both.