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作 者:张滨丽[1] 卞兴超 Zhang Binli;Bian Xingchao(College of Economy and Management,Suihua University,Suihua 152061,Heilongjiang,China;Office of Teaching Affairs,Suihua University,Suihua 152061,Heilongjiang,China)
机构地区:[1]绥化学院经济管理学院,黑龙江绥化152061 [2]绥化学院教务处,黑龙江绥化152061
出 处:《计算机应用与软件》2021年第8期338-342,共5页Computer Applications and Software
基 金:黑龙江省创新人才培养计划项目(2017-KYYWF-0715)。
摘 要:针对车联网冷链物流中转与配送目标可被关联的问题,提出一种可有效泛化这种关联,进而保护配送目标的隐私保护算法。基于属性基加密技术,利用车联网中车辆可相互通信这一特点,通过同属性车辆解密建立匿名车辆组;利用匿名车辆组实现关联和配送目标泛化,进而保护配送目标的隐私安全。通过性能分析从理论上证明了安全性和算法效率,利用模拟对比实验,进一步验证了该算法的优越性。In order to cope with the problem that transit and delivery target can be associated in cold chain logistics of Internet of vehicles,a privacy protection algorithm is proposed which can effectively generalize the correlation and protect the delivery target.It was based on attribute-based encryption technology,and used the feature that vehicles can communicate with each other in the Internet of vehicles to establish an anonymous vehicle group by decrypting vehicles with attributes;it used anonymous vehicle group to realize association and generalization of distribution targets,so as to protect the privacy and security of distribution targets.The security and effectiveness of the algorithm are theoretically proved by performance analysis.The superiority of the algorithm is futher verified by model comparison experiments.
关 键 词:车联网冷链物流 隐私保护 属性基加密 关联和配送目标泛化
分 类 号:TP309.2[自动化与计算机技术—计算机系统结构]
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