基于全同态加密的智能网联汽车云控制框架数据保护

Yan Cui, Siqi Li, Yue Wang, Bolin Gao
{"title":"基于全同态加密的智能网联汽车云控制框架数据保护","authors":"Yan Cui, Siqi Li, Yue Wang, Bolin Gao","doi":"10.1109/CVCI51460.2020.9338620","DOIUrl":null,"url":null,"abstract":"With the development of Intelligent Connected Vehicles (ICVs), Cloud Control Platform is becoming an important part to compute driving strategies. However, when strategies are put to cloud, some of vehicle manufacturers' private data must be sent to the cloud, like Engine Map, which are core data for vehicle manufactures. How to protect these data has been the largest obstacle for the ICVs. Thus, this paper proposes a new framework in which Fully Homomorphic Encryption (FHE) and Blockchain technology are combined to compute encryption data on the cloud and record trails of cloud request. In this framework, private data can be protected, the scope of data usage will be limited, and at the same time, the execution of specific type of computations with encryption data on the cloud are fulfilled. In the end, with the help of Simple Encrypted Arithmetic Library (SEAL) developed by Microsoft Research, and IBM blockchain framework Hyperledger Fabric, this framework is verified to be feasible to build a trustworthy ICVs cloud computing system.","PeriodicalId":119721,"journal":{"name":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The Data Protection of Intelligent Connected Vehicles Cloud Control Framework Using Fully Homomorphic Encryption\",\"authors\":\"Yan Cui, Siqi Li, Yue Wang, Bolin Gao\",\"doi\":\"10.1109/CVCI51460.2020.9338620\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of Intelligent Connected Vehicles (ICVs), Cloud Control Platform is becoming an important part to compute driving strategies. However, when strategies are put to cloud, some of vehicle manufacturers' private data must be sent to the cloud, like Engine Map, which are core data for vehicle manufactures. How to protect these data has been the largest obstacle for the ICVs. Thus, this paper proposes a new framework in which Fully Homomorphic Encryption (FHE) and Blockchain technology are combined to compute encryption data on the cloud and record trails of cloud request. In this framework, private data can be protected, the scope of data usage will be limited, and at the same time, the execution of specific type of computations with encryption data on the cloud are fulfilled. In the end, with the help of Simple Encrypted Arithmetic Library (SEAL) developed by Microsoft Research, and IBM blockchain framework Hyperledger Fabric, this framework is verified to be feasible to build a trustworthy ICVs cloud computing system.\",\"PeriodicalId\":119721,\"journal\":{\"name\":\"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CVCI51460.2020.9338620\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CVCI51460.2020.9338620","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

随着智能网联汽车的发展,云控制平台正成为计算驾驶策略的重要组成部分。然而,当战略被放到云端时,一些汽车制造商的私有数据必须被发送到云端,比如引擎地图,这是汽车制造商的核心数据。如何保护这些数据一直是icv面临的最大障碍。因此,本文提出了一种新的框架,该框架将完全同态加密(FHE)和区块链技术相结合,计算云上的加密数据并记录云请求的轨迹。在这个框架下,可以保护私有数据,限制数据的使用范围,同时实现在云端使用加密数据执行特定类型的计算。最后,借助微软研究院开发的简单加密算法库(Simple Encrypted Arithmetic Library, SEAL)和IBM区块链框架Hyperledger Fabric,验证了该框架构建可信icv云计算系统的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Data Protection of Intelligent Connected Vehicles Cloud Control Framework Using Fully Homomorphic Encryption
With the development of Intelligent Connected Vehicles (ICVs), Cloud Control Platform is becoming an important part to compute driving strategies. However, when strategies are put to cloud, some of vehicle manufacturers' private data must be sent to the cloud, like Engine Map, which are core data for vehicle manufactures. How to protect these data has been the largest obstacle for the ICVs. Thus, this paper proposes a new framework in which Fully Homomorphic Encryption (FHE) and Blockchain technology are combined to compute encryption data on the cloud and record trails of cloud request. In this framework, private data can be protected, the scope of data usage will be limited, and at the same time, the execution of specific type of computations with encryption data on the cloud are fulfilled. In the end, with the help of Simple Encrypted Arithmetic Library (SEAL) developed by Microsoft Research, and IBM blockchain framework Hyperledger Fabric, this framework is verified to be feasible to build a trustworthy ICVs cloud computing system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信