ID 原文 译文
25225 仿真结果表明分析结论正确，所提方法可行有效。 Simulation results show that the conclusion is correct and the proposed method works effectively．
25226 随着移动目标防御技术研究的不断深入，移动目标防御策略选取问题成为当前研究的热点问题之一，本文提出一种基于多阶段 Markov 信号博弈模型的移动目标防御最优策略选取方法。 With the development of the research on moving target defense (MTD) technique, how to effectively select the optimal strategy of moving target defense has become an urgent issue in the current research. To solve this problem, we propose a MTD optimal strategy selection method based on multi-stage Markov signaling game model．
25227 首先，结合攻防实际，提出实施攻击所需构建的攻击链模型。 Firstly, combined with the actual attack-defense process, we construct an attack chain model that attackers need to build to carry out the attack．
25228 其次，在考虑状态随机跳变的基础上，将多阶段信号博弈模型与 Markov 决策过程相结合，构建基于多阶段 Markov 信号博弈的移动目标防御模型。 Secondly, due to the random jump between states, we combine multi-stage signaling with markov decision process (MDP) to construct the corresponding MTD model．
25229 同时，引入 Logistic 映射刻画攻防博弈系统中可能造成概率更新过程失真的随机干扰因素。 Meanwhile, we adopt Logistic mapping to characterize the stochastic interference factors that may cause the distortion of the probability updating in the attack-defense process．
25230 在形式化建模的基础上，设计折扣收益目标函数，并提出均衡求解算法，给出最优防御策略选取算法。 Additionally, on the basis of formally modeling, we design an objective function with discounted total payoff. Besides, we give a solution method for multi-stage signaling game equilibrium and design an optimal defense strategy selection algorithm for MTD．
25231 最后，通过仿真实验验证模型和方法的有效性。 Finally, the simulation demonstrates the effectiveness and feasibility of the proposed model and method．
25232 为解决云计算环境下工作流多目标难于优化的问题，本文提出了一种花朵差分授粉工作流多目标调度优化算法。 In order to solve the problem that the multi-objective workflow scheduling is difficult to optimize in the cloud computing environment， this paper proposes a differential flower pollination algorithm for the multi-objective workflow scheduling．
25233 该算法将工作流中任务和虚拟机建模成花粉，将完整的调度序列建模成花朵。 The algorithm models the tasks and virtual machines in the workflow into pollen and models the complete scheduling sequence into flowers．
25234 依据任务的偏序关系进行离散花朵授粉过程。 Then it adopts a discrete flower pollination process according to the partial order relationship of the task．