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作 者:刘琨[1] 王圆洁 申自浩[2] 王辉[1] 刘沛骞 LIU Kun;WANG Yuanjie;SHEN Zihao;WANG Hui;LIU Peiqian(School of Software,Henan Polytechnic University,Jiaozuo 454000,China;School of Computer Science and Technology,Henan Polytechnic University,Jiaozuo 454000,China)
机构地区:[1]河南理工大学软件学院,焦作454000 [2]河南理工大学计算机科学与技术学院,焦作454000
出 处:《北京邮电大学学报》2022年第6期140-146,共7页Journal of Beijing University of Posts and Telecommunications
基 金:河南省高等学校重点科研项目(23A520033);河南理工大学博士基金项目(B2022-16)。
摘 要:第6代移动通信系统提供的高效通信技术促进了车联网的快速发展。车联网中已发布数据中的位置和查询请求等敏感信息容易遭到恶意攻击,使隐私泄露。对此,根据认知引擎感知用户需求,提出一种基于区块链的可信预测缓存架构(TPCAB)。首先,基于深度学习方法提出一种请求预测模型以预测用户需求,从而提高缓存命中率;其次,采用信任机制评估信任值解决与不同邻居通信时交互不可信的问题;最后,基于区块链的特性将交易过程中生成的大量信任数据和交易数据存储在区块中。仿真实验结果表明,用TPCAB能够有效提高缓存命中率,防止数据被篡改,可达到隐私保护的效果。The efficient communication technology provided by the sixth generation of mobile communications system has promoted the rapid development of the Internet of vehicles. Sensitive information such as location and query request of published data in the Internet of vehicles is vulnerable to malicious attacks, which will leak privacy. In this regard, a trusted prediction cache architecture based on blockchain(TPCAB) is proposed by sensing user needs through the cognitive engine. First, a request prediction model based on deep learning technology is proposed to predict user’s demand, thus improving the cache hit rate. Second, the trust mechanism is used to evaluate the trust value and solve the problem of untrustworthy interaction caused by communication with different neighbors. Finally, based on the characteristics of blockchain, a large number of trust data and transaction data generated in the transaction process are stored in the block. The simulation results show that TPCAB can effectively improve the cache hit rate and prevent data from being tampered with, which can achieve the effect of privacy protection.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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