评估指标权重的确定是影响智能汽车网络安全性评估的重要因素之一。针对传统确权方法忽略指标属性状态变化对评估指标权重影响的问题,提出了一种基于动态权重分配的网络安全评估模型。该模型首先对车辆自组织网络(vehicularAd Hoc netwo...评估指标权重的确定是影响智能汽车网络安全性评估的重要因素之一。针对传统确权方法忽略指标属性状态变化对评估指标权重影响的问题,提出了一种基于动态权重分配的网络安全评估模型。该模型首先对车辆自组织网络(vehicularAd Hoc network,VANET)进行安全目标分解与分析,构建其安全性评估指标体系。针对构建出的安全性评估指标体系,利用基于排序的确权算法对安全指标进行指标关联性分析,随后采用所提出的动态权重分配算法,计算指标体系中各个指标的动态权重,进而实现智能汽车VANET的安全性评估,得到安全等级评估结果。实验结果表明,该模型可以提升智能汽车VANET评估的合理性。展开更多
This paper investigates region tracking and perimeter surveillance of second-order multiagent systems,where all agents move within a star-shaped set.First,by coordination transformations,the region tracking problem is...This paper investigates region tracking and perimeter surveillance of second-order multiagent systems,where all agents move within a star-shaped set.First,by coordination transformations,the region tracking problem is converted from the star-shaped sets to a circular region.The authors employ communication and collaboration to complete region tracking and perimeter surveillance tasks,and then revert back to the star-shaped set by using inverse transformations.Second,the authors propose a distributed control strategy based on attractive and interaction potential functions,under which all agents can quickly track a given circular region and move around the perimeter.Finally,the authors validate the effectiveness and performance advantages of the proposed method through simulation experiments.展开更多
文摘评估指标权重的确定是影响智能汽车网络安全性评估的重要因素之一。针对传统确权方法忽略指标属性状态变化对评估指标权重影响的问题,提出了一种基于动态权重分配的网络安全评估模型。该模型首先对车辆自组织网络(vehicularAd Hoc network,VANET)进行安全目标分解与分析,构建其安全性评估指标体系。针对构建出的安全性评估指标体系,利用基于排序的确权算法对安全指标进行指标关联性分析,随后采用所提出的动态权重分配算法,计算指标体系中各个指标的动态权重,进而实现智能汽车VANET的安全性评估,得到安全等级评估结果。实验结果表明,该模型可以提升智能汽车VANET评估的合理性。
基金supported by the National Natural Science Foundation of China under Grant Nos.61973329,62133001 and 62227810the National Key Technology R&D Program of China under Grant No.2021YFD2100605Project of Beijing Municipal University Teacher Team Construction Support Plan under Grant No.BPHR20220104.
文摘This paper investigates region tracking and perimeter surveillance of second-order multiagent systems,where all agents move within a star-shaped set.First,by coordination transformations,the region tracking problem is converted from the star-shaped sets to a circular region.The authors employ communication and collaboration to complete region tracking and perimeter surveillance tasks,and then revert back to the star-shaped set by using inverse transformations.Second,the authors propose a distributed control strategy based on attractive and interaction potential functions,under which all agents can quickly track a given circular region and move around the perimeter.Finally,the authors validate the effectiveness and performance advantages of the proposed method through simulation experiments.
