Land use conflicts(LUCs),as a spatial manifestation of the conflicts in the human-land relationships,have a profound impact on regional sustainable development.For China’s metropolitan junction areas(MJAs),the existe...Land use conflicts(LUCs),as a spatial manifestation of the conflicts in the human-land relationships,have a profound impact on regional sustainable development.For China’s metropolitan junction areas(MJAs),the existence of“administrative district economies”has made the issue of LUCs more prominent.Based on a case study of the central Chengdu–Chongqing region,we conducted an exploratory spatial data analysis of the evolutionary process of regional LUCs.Furthermore,structural equation modeling was utilized to analyze the dynamic mechanism of LUCs in MJAs,with a particular emphasis on exploring the influences of administrative boundary.The results showed that from 2010 to 2020,LUCs in the central Chengdu–Chongqing region continued to worsen,and the spatial process conflict and spatial structure conflict indices increased by more than 30.0%.The intensification of LUCs in the central Chengdu–Chongqing region from 2010 to 2020 was mainly the result of the deterioration of conflicts in evaluation units with low conflict levels.LUCs in China’s metropolitan areas generally presented a circular gradient distribution,weakening from the core to the periphery,but there were some strong isolated conflict zones in the outer regions.LUCs in China’s MJAs were the result of interactions among multiple factors,e.g.,natural environment,socio-economic development,policy and institutional processes,and administrative boundary effects.Administrative boundary affected the flow of socio-economic elements,changing the supply-and-demand competition of stakeholders for land resources,consequently exerting an indirect influence on LUCs.This study advances the theory of the dynamic mechanism of LUCs,and provides theoretical support for the governance of these conflicts in transboundary areas.展开更多
软件定义网络(SDN,software defined networking)简化了网络结构,但同时控制器也面临着"单点失效"的安全威胁。攻击者可以发送大量交换机流表中并不存在的伪造数据流,影响网络正常性能。为了准确检测这种攻击的存在,提出了基...软件定义网络(SDN,software defined networking)简化了网络结构,但同时控制器也面临着"单点失效"的安全威胁。攻击者可以发送大量交换机流表中并不存在的伪造数据流,影响网络正常性能。为了准确检测这种攻击的存在,提出了基于条件熵和GHSOM(growing hierarchical SOM)神经网络的DDoS攻击检测方法MBCE&G。首先,依据此DDoS的阶段性特征,定位了网络中的受损交换机以发现可疑攻击流;然后,依据可疑攻击流种类的多样性特征,以条件熵的形式提取了四元组特征向量,将其作为神经网络的输入特征进行更加精确的分析;最后,搭建了实验环境完成验证。实验结果显示,MBCE&G检测方法可以有效检测SDN中的DDoS攻击。展开更多
基金funded by the National Natural Science Foundation of China(42101264,42101200)the Postdoctoral Fellowship Program of China Postdoctoral Science Foundation(CPSF)(GZC20233314)+1 种基金the Chongqing Natural Science Foundation,China(cstc2021jcyj-msxmX0811)the Fundamental Research Funds for the Central Universities,China(2023CDSKXYGG006,2024CDJXY014).
文摘Land use conflicts(LUCs),as a spatial manifestation of the conflicts in the human-land relationships,have a profound impact on regional sustainable development.For China’s metropolitan junction areas(MJAs),the existence of“administrative district economies”has made the issue of LUCs more prominent.Based on a case study of the central Chengdu–Chongqing region,we conducted an exploratory spatial data analysis of the evolutionary process of regional LUCs.Furthermore,structural equation modeling was utilized to analyze the dynamic mechanism of LUCs in MJAs,with a particular emphasis on exploring the influences of administrative boundary.The results showed that from 2010 to 2020,LUCs in the central Chengdu–Chongqing region continued to worsen,and the spatial process conflict and spatial structure conflict indices increased by more than 30.0%.The intensification of LUCs in the central Chengdu–Chongqing region from 2010 to 2020 was mainly the result of the deterioration of conflicts in evaluation units with low conflict levels.LUCs in China’s metropolitan areas generally presented a circular gradient distribution,weakening from the core to the periphery,but there were some strong isolated conflict zones in the outer regions.LUCs in China’s MJAs were the result of interactions among multiple factors,e.g.,natural environment,socio-economic development,policy and institutional processes,and administrative boundary effects.Administrative boundary affected the flow of socio-economic elements,changing the supply-and-demand competition of stakeholders for land resources,consequently exerting an indirect influence on LUCs.This study advances the theory of the dynamic mechanism of LUCs,and provides theoretical support for the governance of these conflicts in transboundary areas.
文摘软件定义网络(SDN,software defined networking)简化了网络结构,但同时控制器也面临着"单点失效"的安全威胁。攻击者可以发送大量交换机流表中并不存在的伪造数据流,影响网络正常性能。为了准确检测这种攻击的存在,提出了基于条件熵和GHSOM(growing hierarchical SOM)神经网络的DDoS攻击检测方法MBCE&G。首先,依据此DDoS的阶段性特征,定位了网络中的受损交换机以发现可疑攻击流;然后,依据可疑攻击流种类的多样性特征,以条件熵的形式提取了四元组特征向量,将其作为神经网络的输入特征进行更加精确的分析;最后,搭建了实验环境完成验证。实验结果显示,MBCE&G检测方法可以有效检测SDN中的DDoS攻击。
