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作 者:相迎宵 李轶珂 刘吉强 王潇瑾[1,2] 陈彤 童恩栋 牛温佳[1,2] 韩臻 XIANG Ying-Xiao;LI Yi-Ke;LIU Ji-Qiang;WANG Xiao-Jin;CHEN Tong;TONG En-Dong;NIU Wen-Jia;HAN Zhen(Beijing Key Laboratory of Security and Privacy in Intelligent Transportation,Beijing 100044,China;Beijing Jiaotong University,Beijing 100044,China)
机构地区:[1]智能交通数据安全与隐私保护技术北京市重点实验室,北京100044 [2]北京交通大学,北京100044
出 处:《软件学报》2023年第2期833-848,共16页Journal of Software
基 金:中央高校基本科研业务费专项资金(2021JBM006);国家自然科学基金(61972025,61802389,61672092,U1811264,61966009);国家重点研发计划(2020YFB1005604,2020YFB2103802)。
摘 要:随着网联车辆的快速发展和开放化,智能信号灯规划系统承受着巨大的网络攻击风险.已有相关研究发现,定频数据污染对规划脆弱性的攻击造成了交通拥堵爆增,但缺乏对降频污染攻击的全时序拥堵态势量化与分析,在检测预警与持续对抗方面有一定的局限性.将开源智能信号灯规划系统I-SIG及其规划算法COP作为研究对象,提出一种面向多个降频污染攻击的统一拥堵态势量化与分析框架,构造态势发展的时空序列三阶张量空间,并设计极值分析、平稳性分析和关联性分析,实现基于函数依赖关系的一体化分析方法.在交通模拟环境VISSIM平台上,验证了该量化分析的有效性并报告新发现.With the development and openness of connected vehicle,the planning system of intelligent signal system(I-SIG system)has a big security threat from network attack.Former work has revealed that a frequency-fixed data spoofing attack to the planning weakness can cause a heavy traffic congestion.However,there is still very limited knowledge for security detection,warning,and defense,and there is no work that provides a full time-serial congestion situation quantification and analysis for various attack frequency from high to low.Targeting the open source I-SIG system and its COP planning algorithm,this study proposes a unified framework to quantify and analyze the congestion situation under multiple spoofing attack from high to low frequency.Firstly,a space-time tensor space of three ordersis constructed.Based on tensor computation,a function-dependent integrated analysis approach is implemented,in which the max-min analysis,stationarity analysis,and correlation analysis are developed.Experiments on the traffic simulation platform VISSIM show the effectiveness of quantification and analysis,and demonstrate that the results are meaningful.
关 键 词:污染攻击 拥堵态势 量化分析 智能交通 张量空间
分 类 号:TP309[自动化与计算机技术—计算机系统结构]
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