To address the problem of network security situation assessment in the Industrial Internet,this paper adopts the evidential reasoning(ER)algorithm and belief rule base(BRB)method to establish an assessment model.First...To address the problem of network security situation assessment in the Industrial Internet,this paper adopts the evidential reasoning(ER)algorithm and belief rule base(BRB)method to establish an assessment model.First,this paper analyzes the influencing factors of the Industrial Internet and selects evaluation indicators that contain not only quantitative data but also qualitative knowledge.Second,the evaluation indicators are fused with expert knowledge and the ER algorithm.According to the fusion results,a network security situation assessment model of the Industrial Internet based on the ER and BRB method is established,and the projection covariance matrix adaptive evolution strategy(P-CMA-ES)is used to optimize the model parameters.This method can not only utilize semiquantitative information effectively but also use more uncertain information and prevent the problem of combinatorial explosion.Moreover,it solves the problem of the uncertainty of expert knowledge and overcomes the problem of low modeling accuracy caused by insufficient data.Finally,a network security situation assessment case of the Industrial Internet is analyzed to verify the effectiveness and superiority of the method.The research results showthat this method has strong applicability to the network security situation assessment of complex Industrial Internet systems.It can accurately reflect the actual network security situation of Industrial Internet systems and provide safe and reliable suggestions for network administrators to take timely countermeasures,thereby improving the risk monitoring and emergency response capabilities of the Industrial Internet.展开更多
To effectively predict the permeability index of smelting process in the imperial smelting furnace, an intelligent prediction model is proposed. It integrates the case-based reasoning （CBR） with adaptive par- ticle ...To effectively predict the permeability index of smelting process in the imperial smelting furnace, an intelligent prediction model is proposed. It integrates the case-based reasoning （CBR） with adaptive par- ticle swarm optimization （PSO）. The nmnber of nearest neighbors and the weighted features vector are optimized online using the adaptive PSO to improve the prediction accuracy of CBR. The adaptive inertia weight and mutation operation are used to overcome the premature convergence of the PSO. The proposed method is validated a compared with the basic weighted CBR. The results show that the proposed model has higher prediction accuracy and better performance than the basic CBR model.展开更多
实现对卫星网络空间威胁的态势感知,是太空网络安全防御的前提。针对卫星网络空间安全防御,提出了卫星网络空间威胁态势感知需要回答的一系列问题,构建了卫星网络空间态势感知本体(ontology of cyberspace situational awareness for sa...实现对卫星网络空间威胁的态势感知,是太空网络安全防御的前提。针对卫星网络空间安全防御,提出了卫星网络空间威胁态势感知需要回答的一系列问题,构建了卫星网络空间态势感知本体(ontology of cyberspace situational awareness for satellite,OntoCSA4Sat),用于对卫星网络空间多源情报进行自动关联和推理。通过对一个案例进行表示和推理实验,验证了OntoCSA4Sat的一致性和用于推理解决卫星网络空间威胁态势感知问题的可行性,表明OntoCSA4Sat可为卫星网络空间威胁的态势感知提供分析框架,为太空网络安全防御辅助决策提供支撑。展开更多
The 2006 light bus market was highlighted by recovery, diesel engine and dark horse. The growth rate of the sales achieved a 10 percent up year on year.
Purpose–The purpose of this paper is to provide a more capable and holistic adjustable autonomy system,involving situation reasoning among all involved information sources,to make an adjustable autonomy system which ...Purpose–The purpose of this paper is to provide a more capable and holistic adjustable autonomy system,involving situation reasoning among all involved information sources,to make an adjustable autonomy system which knows what the situation is currently,what needs to be done in the present situation,and how risky the task is in the present situation.This will enhance efficiency for calculating the level of autonomy.Design/methodology/approach–Situation reasoning methodologies are present in many autonomous systems which are called situation awareness.Situation awareness in autonomous systems is divided into three levels,situation perception,situation comprehension and situation projection.Situation awareness in these systems aims to make the tactical plans cognitive,but situation reasoning in adjustable autonomous systems aim to communicate mission assessments to unmanned vehicle or humans.Thus,in solving this problem,it is important to design a new situation reasoning module for the adjustable autonomous system.Findings–The contribution of this paper is presenting the Situation Reasoning Module(SRM)for an adjustable autonomous system,which encapsulates event detection,cognitive situations,cognitive tasks,performance capacity assessment and integrated situation reason.The paper concludes by demonstrating the benefits of the SRM in a real-world scenario,a situation reasoning simulation in unmanned surface vehicles(USV)while performing a navigation mission.Originality/value–The method presented in this paper represents a new SRM to reason the situation for adjustable autonomous system.While the results presented in the paper are based on fuzzy logic and Bayesian network methodology.The results of this paper can be applicable to land,sea and air robotics in an adjustable autonomous system.展开更多
基金supported by the Provincial Universities Basic Business Expense Scientific Research Projects of Heilongjiang Province(No.2021-KYYWF-0179)the Science and Technology Project of Henan Province(No.212102310991)+2 种基金the Opening Project of Shanghai Key Laboratory of Integrated Administration Technologies for Information Security(No.AGK2015003)the Key Scientific Research Project of Henan Province(No.21A413001)the Postgraduate Innovation Project of Harbin Normal University(No.HSDSSCX2021-121).
文摘To address the problem of network security situation assessment in the Industrial Internet,this paper adopts the evidential reasoning(ER)algorithm and belief rule base(BRB)method to establish an assessment model.First,this paper analyzes the influencing factors of the Industrial Internet and selects evaluation indicators that contain not only quantitative data but also qualitative knowledge.Second,the evaluation indicators are fused with expert knowledge and the ER algorithm.According to the fusion results,a network security situation assessment model of the Industrial Internet based on the ER and BRB method is established,and the projection covariance matrix adaptive evolution strategy(P-CMA-ES)is used to optimize the model parameters.This method can not only utilize semiquantitative information effectively but also use more uncertain information and prevent the problem of combinatorial explosion.Moreover,it solves the problem of the uncertainty of expert knowledge and overcomes the problem of low modeling accuracy caused by insufficient data.Finally,a network security situation assessment case of the Industrial Internet is analyzed to verify the effectiveness and superiority of the method.The research results showthat this method has strong applicability to the network security situation assessment of complex Industrial Internet systems.It can accurately reflect the actual network security situation of Industrial Internet systems and provide safe and reliable suggestions for network administrators to take timely countermeasures,thereby improving the risk monitoring and emergency response capabilities of the Industrial Internet.
基金supported by the by the National Natural Science Foundation(No.60874069,60634020)the National High Technology Research and Development Programme of China(No.2009AA04Z124)Hunan Provincial Natural Science Foundation of China(No.09JJ3122)
文摘To effectively predict the permeability index of smelting process in the imperial smelting furnace, an intelligent prediction model is proposed. It integrates the case-based reasoning （CBR） with adaptive par- ticle swarm optimization （PSO）. The nmnber of nearest neighbors and the weighted features vector are optimized online using the adaptive PSO to improve the prediction accuracy of CBR. The adaptive inertia weight and mutation operation are used to overcome the premature convergence of the PSO. The proposed method is validated a compared with the basic weighted CBR. The results show that the proposed model has higher prediction accuracy and better performance than the basic CBR model.
文摘实现对卫星网络空间威胁的态势感知,是太空网络安全防御的前提。针对卫星网络空间安全防御,提出了卫星网络空间威胁态势感知需要回答的一系列问题,构建了卫星网络空间态势感知本体(ontology of cyberspace situational awareness for satellite,OntoCSA4Sat),用于对卫星网络空间多源情报进行自动关联和推理。通过对一个案例进行表示和推理实验,验证了OntoCSA4Sat的一致性和用于推理解决卫星网络空间威胁态势感知问题的可行性,表明OntoCSA4Sat可为卫星网络空间威胁的态势感知提供分析框架,为太空网络安全防御辅助决策提供支撑。
文摘The 2006 light bus market was highlighted by recovery, diesel engine and dark horse. The growth rate of the sales achieved a 10 percent up year on year.
文摘Purpose–The purpose of this paper is to provide a more capable and holistic adjustable autonomy system,involving situation reasoning among all involved information sources,to make an adjustable autonomy system which knows what the situation is currently,what needs to be done in the present situation,and how risky the task is in the present situation.This will enhance efficiency for calculating the level of autonomy.Design/methodology/approach–Situation reasoning methodologies are present in many autonomous systems which are called situation awareness.Situation awareness in autonomous systems is divided into three levels,situation perception,situation comprehension and situation projection.Situation awareness in these systems aims to make the tactical plans cognitive,but situation reasoning in adjustable autonomous systems aim to communicate mission assessments to unmanned vehicle or humans.Thus,in solving this problem,it is important to design a new situation reasoning module for the adjustable autonomous system.Findings–The contribution of this paper is presenting the Situation Reasoning Module(SRM)for an adjustable autonomous system,which encapsulates event detection,cognitive situations,cognitive tasks,performance capacity assessment and integrated situation reason.The paper concludes by demonstrating the benefits of the SRM in a real-world scenario,a situation reasoning simulation in unmanned surface vehicles(USV)while performing a navigation mission.Originality/value–The method presented in this paper represents a new SRM to reason the situation for adjustable autonomous system.While the results presented in the paper are based on fuzzy logic and Bayesian network methodology.The results of this paper can be applicable to land,sea and air robotics in an adjustable autonomous system.
