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作 者:张宏涛[1,2] ZHANG Hong-tao(Zhengzhou University,Zhengzhou Henan 450001,China;National Digital Switching System Engineering and Technological Research Center,Zhengzhou Henan 450001,China)
机构地区:[1]郑州大学,河南郑州450001 [2]国家数字交换系统工程技术研究中心,河南郑州450001
出 处:《计算机仿真》2021年第8期162-166,共5页Computer Simulation
基 金:国家自然科学基金项目(61402526,61402525,61502528)。
摘 要:针对传统车联网数据传输威胁抑制方法中存在识别威胁信息不准确、数据传输时间较慢的问题,利用匿名交换算法提出一种新的车联网数据传输威胁抑制方法。将威胁目标转变成量化矩阵,采用聚类与加权平分规则建立威胁目标识别模型,以此识别出威胁目标等级;利用子树匿名化混合算法选择适当的组件对数据进行匿名化,提升数据隐私保护系数;使用基于私密随机预编码的密钥匿名交换算法,计算收发双方共享的私密随机值,通过信道容量理论生成私密码本序列,确保了数据传输的稳定,对威胁目标实施精准防范。实验结果表明,所提方法可以有效抑制威胁目标的干扰,缩短了车联网数据传输时间,最大程度保证数据传输的安全性,具备很高的应用价值。In order to solve the problems of inaccurate identification of threat information and slow data transmission in traditional methods,this article presented a method of threat suppression for IOV data transmission based on anonymous exchange algorithm.Firstly,the threat target was transformed into a quantized matrix,and then a threat target identification model was built by clustering and weighted average rules,so as to identify the threat level.Secondly,the subtree anonymization hybrid algorithm was used to select appropriate components and anonymize data,so as to improve the data privacy protection coefficient.Finally,the anonymous key exchange algorithm based on private random precoding was used to calculate the private random value shared by the sending and receiving sides.The private cipher-book sequence was generated through the channel capacity theory,so that the stability of data transmission was ensured and precise prevention of threat targets was implemented.Experimental results show that the proposed method can effectively suppress the interference of threat targets and shorten the IOV data transmission time.This method ensures the security of data transmission to the greatest extent,so it has high application value.
分 类 号:TN942[电子电信—信号与信息处理]
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