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作 者:李玲 武晓琴 朱萍[1] LI Ling;WU Xiaoqin;ZHU Ping(College of Information Science and Engineering,Hebei North University,Zhangjiakou 075000,China)
机构地区:[1]河北北方学院信息科学与工程学院,河北张家口075000
出 处:《火力与指挥控制》2023年第5期124-129,共6页Fire Control & Command Control
基 金:河北省高等学校科学技术研究青年基金资助项目(QN2019172)。
摘 要:路况信息需及时传输至云服务,以便交通管理者采取实时的应对之策,进而提高交通管理效率。但是向云服务器传输海量的路况信息增加了传输时延。为此,提出基于雾计算的路况信息的安全传输方案(FSRI)。FSRI方案将路侧单元(RSU)作为雾节点,并由RSU向云服务转发路况信息,降低传输时延。由管理中心(TA)构建系统参数,负责车辆和RSU的注册。并引用相互认证机制,确保能够安全地传输路况信息。性能分析表明,提出的FSRI方案具有高的安全性,并满足匿名性、不可连接等安全要求。相比于同类方案,FSRI方案降低了传输路况信息的时延。Road condition information needs to be transmitted to cloud services in time so that traffic managers can take real-time coping policies to improve the efficiency of traffic management.However,transmiiting huge amounts of traffic information to cloud servers increases time delay.Therefore,fog-computing-based secure transmission of road condition information(FSRI)is proposed.Road side units(RSUs)in the FSRI scheme are used as fog nodes,and RSU transmits road condition information to cloud services in order to reduce transmission time delay.At the same time,the management center(TA)constructs the system parameters and is responsible for the registration of vehicles and RSUs.A mutual authentication mechanism is introduced to ensure that traffic information can be transmitted safely.The performance analysis shows that the proposed FSRI scheme has high security,and can meet such security requirements for anonymity,unconnection,etc.In addition,FSRI scheme reduces the time delay of transmitting the road condition information compared with the other similar schemes.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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