A Double Assessment of Privacy Risks Aboard Top-Selling Cars

IF 4.8 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Giampaolo Bella, Pietro Biondi, Giuseppe Tudisco
{"title":"A Double Assessment of Privacy Risks Aboard Top-Selling Cars","authors":"Giampaolo Bella,&nbsp;Pietro Biondi,&nbsp;Giuseppe Tudisco","doi":"10.1007/s42154-022-00203-2","DOIUrl":null,"url":null,"abstract":"<div><p>The advanced and personalised experience that modern cars offer makes them more and more data-hungry. For example, the cabin preferences of the possible drivers must be recorded and associated to some identity, while such data could be exploited to deduce sensitive information about the driver’s health. Therefore, drivers’ privacy must be taken seriously, requiring a dedicated risk assessment framework, as presented in this paper through a double assessment combining the asset-oriented ISO approach with the threat-oriented STRIDE approach. The framework is tailored to the level of specific car brand and demonstrated on the ten top-selling brands as well as, due to its innovative character, Tesla. The two approaches yield different, but complementary findings, demonstrating the additional insights gained through their parallel adoption.</p></div>","PeriodicalId":36310,"journal":{"name":"Automotive Innovation","volume":"6 2","pages":"146 - 163"},"PeriodicalIF":4.8000,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s42154-022-00203-2.pdf","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automotive Innovation","FirstCategoryId":"1087","ListUrlMain":"https://link.springer.com/article/10.1007/s42154-022-00203-2","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 6

Abstract

The advanced and personalised experience that modern cars offer makes them more and more data-hungry. For example, the cabin preferences of the possible drivers must be recorded and associated to some identity, while such data could be exploited to deduce sensitive information about the driver’s health. Therefore, drivers’ privacy must be taken seriously, requiring a dedicated risk assessment framework, as presented in this paper through a double assessment combining the asset-oriented ISO approach with the threat-oriented STRIDE approach. The framework is tailored to the level of specific car brand and demonstrated on the ten top-selling brands as well as, due to its innovative character, Tesla. The two approaches yield different, but complementary findings, demonstrating the additional insights gained through their parallel adoption.

对畅销汽车隐私风险的双重评估
现代汽车提供的先进和个性化体验使它们越来越需要数据。例如,必须记录潜在驾驶员的座舱偏好,并将其与某种身份相关联,而这些数据可能被利用来推断驾驶员健康状况的敏感信息。因此,必须认真对待司机的隐私,需要一个专门的风险评估框架,正如本文通过将面向资产的ISO方法与面向威胁的STRIDE方法相结合的双重评估提出的那样。该框架是根据特定汽车品牌的水平量身定制的,并在十大最畅销品牌以及由于其创新特性,特斯拉上进行了演示。这两种方法产生了不同但互补的发现,展示了通过并行采用而获得的额外见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Automotive Innovation
Automotive Innovation Engineering-Automotive Engineering
CiteScore
8.50
自引率
4.90%
发文量
36
期刊介绍: Automotive Innovation is dedicated to the publication of innovative findings in the automotive field as well as other related disciplines, covering the principles, methodologies, theoretical studies, experimental studies, product engineering and engineering application. The main topics include but are not limited to: energy-saving, electrification, intelligent and connected, new energy vehicle, safety and lightweight technologies. The journal presents the latest trend and advances of automotive technology.
×
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