车辆blocktrees

Joshua Joy
{"title":"车辆blocktrees","authors":"Joshua Joy","doi":"10.1109/VNC.2017.8275634","DOIUrl":null,"url":null,"abstract":"Every day autonomous vehicles will independently generate terabytes of unverified data. In the case of an accident involving multiple stakeholders with various (dis)incentives to honestly report, the question arises how to reconstruct the accident scene with validated and authenticated data without relying on a centralized authority. In this paper, we introduce Proof of Physics (PoP), a consensus mechanism whereby environmental (sensor) data is persisted only after audit and computational agreement that the recorded event occurred. Vehicles perform permissionless (e.g., requiring no centralized authority) writes of the signatures of their recorded events and associated content. The blocktree aggregates the verified data enabling querying over validated historic events. We evaluate the blocktree security by analyzing the ability of a malicious attacker to successfully fork the vehicle blocktree. We show that the attacker's success probability approaches negligible as the number of vehicle witnesses and confirmations increases.","PeriodicalId":101592,"journal":{"name":"2017 IEEE Vehicular Networking Conference (VNC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Vehicular blocktrees\",\"authors\":\"Joshua Joy\",\"doi\":\"10.1109/VNC.2017.8275634\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Every day autonomous vehicles will independently generate terabytes of unverified data. In the case of an accident involving multiple stakeholders with various (dis)incentives to honestly report, the question arises how to reconstruct the accident scene with validated and authenticated data without relying on a centralized authority. In this paper, we introduce Proof of Physics (PoP), a consensus mechanism whereby environmental (sensor) data is persisted only after audit and computational agreement that the recorded event occurred. Vehicles perform permissionless (e.g., requiring no centralized authority) writes of the signatures of their recorded events and associated content. The blocktree aggregates the verified data enabling querying over validated historic events. We evaluate the blocktree security by analyzing the ability of a malicious attacker to successfully fork the vehicle blocktree. We show that the attacker's success probability approaches negligible as the number of vehicle witnesses and confirmations increases.\",\"PeriodicalId\":101592,\"journal\":{\"name\":\"2017 IEEE Vehicular Networking Conference (VNC)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Vehicular Networking Conference (VNC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VNC.2017.8275634\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Vehicular Networking Conference (VNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VNC.2017.8275634","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

自动驾驶汽车每天都会独立产生数tb的未经验证的数据。在涉及多个利益相关者的事故中,有各种各样的(不)动机来诚实地报告,问题是如何在不依赖集中权威的情况下使用经过验证和认证的数据重建事故现场。在本文中,我们介绍了物理证明(PoP),这是一种共识机制,只有在审计和计算一致记录事件发生后,环境(传感器)数据才会被持久化。车辆对其记录的事件和相关内容的签名进行未经许可(例如,不需要中央授权)的写入。块树聚合经过验证的数据,从而可以对经过验证的历史事件进行查询。我们通过分析恶意攻击者成功分叉车辆区块树的能力来评估区块树的安全性。我们表明,随着车辆目击和确认数量的增加,攻击者的成功概率接近于可以忽略不计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Vehicular blocktrees
Every day autonomous vehicles will independently generate terabytes of unverified data. In the case of an accident involving multiple stakeholders with various (dis)incentives to honestly report, the question arises how to reconstruct the accident scene with validated and authenticated data without relying on a centralized authority. In this paper, we introduce Proof of Physics (PoP), a consensus mechanism whereby environmental (sensor) data is persisted only after audit and computational agreement that the recorded event occurred. Vehicles perform permissionless (e.g., requiring no centralized authority) writes of the signatures of their recorded events and associated content. The blocktree aggregates the verified data enabling querying over validated historic events. We evaluate the blocktree security by analyzing the ability of a malicious attacker to successfully fork the vehicle blocktree. We show that the attacker's success probability approaches negligible as the number of vehicle witnesses and confirmations increases.
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
期刊最新文献
Implementation of WPT communication system based on SAE J2847 standard for electric vehicle Study of the impact of pseudonym change mechanisms on vehicular safety Poster: Characterizing driving behaviors through a car simulation platform Demo: MAMBA: A platform for personalised multimodal trip planning Effects of colluding Sybil nodes in message falsification attacks for vehicular platooning
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1