New precisely cooperative attacks, such as the coordi- nated cross plane session termination （CXPST） attack, need thou- sands upon thousands machines to attack diverse selected links simultaneously with the given ra...New precisely cooperative attacks, such as the coordi- nated cross plane session termination （CXPST） attack, need thou- sands upon thousands machines to attack diverse selected links simultaneously with the given rate. However, almost all command and control（C＆C） mechanisms only provide publishing one com- mand to the whole once, so-called one-to-all C＆C model, and are not productive to support CXPST-alike attacks. In this paper, we present one-to-any C＆C model on coordination among the unco- operative controlled nodes. As an instance of one-to-any C＆C model, directional command publishing （DCP） mechanism lever- aging on Kademlia is provided with a range-mapping key creating algorithm for commands to compute the publishing range and a statistically stochastic node querying scheme to obtain the com- mands immediately. With theoretical analysis and simulation, it is indicated that one-to-any C＆C model fits for precisely coordi- nated operation on uncooperative controlled nodes with least complexity, better accuracy and efficiency. Furthermore, DCP mechanism can support one-to-all command publishing at the same time. As an example of future C＆C model, studying on one-to-any C＆C model may help to promote the development of more efficient countermeasures.展开更多
为研究信息化条件下指挥控制(command and control,C2)系统在对抗环境下的自适应重构机制,基于复杂网络理论和作战指挥原则,从重构触发机制、边的修复策略、结构重组策略和重构评价机制4方面建立了C2系统的自适应重构模型,其中重点研究...为研究信息化条件下指挥控制(command and control,C2)系统在对抗环境下的自适应重构机制,基于复杂网络理论和作战指挥原则,从重构触发机制、边的修复策略、结构重组策略和重构评价机制4方面建立了C2系统的自适应重构模型,其中重点研究了边的修复策略和结构重组策略。针对边的修复提出了一种自适应修复策略;而针对结构重组,提出了升级重组、越级重组、转隶重组和组合重组4种重组策略。仿真结果表明,在综合考虑重构效果和成本消耗的情况下,与以往研究相比,边的自适应修复策略为相对较优的边重构策略,而与单一重组相比,组合重组策略为较优的结构重组策略;并且该自适应重构模型能在一定程度上比较客观地反映指挥控制系统的遇袭重构演化过程。展开更多
在分析电动汽车充电负荷特性、管理架构的基础上,借鉴复杂自适应系统的核心思想,提出基于多智能体的电动汽车充电管理模式。建立单台电动汽车的充电负荷模型和基于多智能体系统的电动汽车充电优化模型。采用蒙特卡洛方法模拟电动汽车用...在分析电动汽车充电负荷特性、管理架构的基础上,借鉴复杂自适应系统的核心思想,提出基于多智能体的电动汽车充电管理模式。建立单台电动汽车的充电负荷模型和基于多智能体系统的电动汽车充电优化模型。采用蒙特卡洛方法模拟电动汽车用户的充电行为。在考虑电动汽车的充电功率、充电时间以及变压器可用容量等约束条件的前提下,针对35 k V片区配电网中电动汽车接入充电的优化问题,提出基于多智能体协同控制的电动汽车充电优化策略。仿真结果表明多智能体协同控制策略能够有效地实现电动汽车充电负荷的"移峰填谷",减小电网峰谷差。展开更多
基金Supported by the National Natural Science Foundation of China(61402526,61502528)
文摘New precisely cooperative attacks, such as the coordi- nated cross plane session termination （CXPST） attack, need thou- sands upon thousands machines to attack diverse selected links simultaneously with the given rate. However, almost all command and control（C＆C） mechanisms only provide publishing one com- mand to the whole once, so-called one-to-all C＆C model, and are not productive to support CXPST-alike attacks. In this paper, we present one-to-any C＆C model on coordination among the unco- operative controlled nodes. As an instance of one-to-any C＆C model, directional command publishing （DCP） mechanism lever- aging on Kademlia is provided with a range-mapping key creating algorithm for commands to compute the publishing range and a statistically stochastic node querying scheme to obtain the com- mands immediately. With theoretical analysis and simulation, it is indicated that one-to-any C＆C model fits for precisely coordi- nated operation on uncooperative controlled nodes with least complexity, better accuracy and efficiency. Furthermore, DCP mechanism can support one-to-all command publishing at the same time. As an example of future C＆C model, studying on one-to-any C＆C model may help to promote the development of more efficient countermeasures.
基金Supported by National Natural Science Foundation of China（60405012 60675055） the Science and Technology Department Foundation of Zhejiang Province （2008C21094）
文摘为研究信息化条件下指挥控制(command and control,C2)系统在对抗环境下的自适应重构机制,基于复杂网络理论和作战指挥原则,从重构触发机制、边的修复策略、结构重组策略和重构评价机制4方面建立了C2系统的自适应重构模型,其中重点研究了边的修复策略和结构重组策略。针对边的修复提出了一种自适应修复策略;而针对结构重组,提出了升级重组、越级重组、转隶重组和组合重组4种重组策略。仿真结果表明,在综合考虑重构效果和成本消耗的情况下,与以往研究相比,边的自适应修复策略为相对较优的边重构策略,而与单一重组相比,组合重组策略为较优的结构重组策略;并且该自适应重构模型能在一定程度上比较客观地反映指挥控制系统的遇袭重构演化过程。
文摘在分析电动汽车充电负荷特性、管理架构的基础上,借鉴复杂自适应系统的核心思想,提出基于多智能体的电动汽车充电管理模式。建立单台电动汽车的充电负荷模型和基于多智能体系统的电动汽车充电优化模型。采用蒙特卡洛方法模拟电动汽车用户的充电行为。在考虑电动汽车的充电功率、充电时间以及变压器可用容量等约束条件的前提下,针对35 k V片区配电网中电动汽车接入充电的优化问题,提出基于多智能体协同控制的电动汽车充电优化策略。仿真结果表明多智能体协同控制策略能够有效地实现电动汽车充电负荷的"移峰填谷",减小电网峰谷差。
