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Side-Channel Analysis for Intelligent and Connected Vehicle Security: A New Perspective
IEEE NETWORK ( IF 9.3 ) Pub Date : 2019-09-16 , DOI: 10.1109/mnet.001.1900214
Yijie Xun , Jiajia Liu , Yanning Zhang

With the continuous expansion and deepening of ICVs, advanced technologies continue to emerge, making ICVs more intelligent to serve and protect drivers. Although the development of ICVs has brought great convenience and better driving experiences for users, at the same time it also brings many intrusion portals for malicious attackers. There are many hostile invaders who only focus on how to achieve malicious invasions by exploiting some attack technologies, such as stealing users’ privacy via SCA. However, technology is a double-edged sword. We can utilize existing attack technologies to do something meaningful, which is beneficial to social development. To this end, the security threats are investigated in ICVs, especially the application of SCA. After that, we propose the schemes of driver identification and illegal driver detection by using SCA, and provide an insight into the advantages and limitations of each scheme. The experimental results showed that identity authentication accuracy can reach 100 percent by using at least 10-minute training data and more than 1-minute testing data. Based on recent progress, future research opportunities are discussed to motivate more researchers to focus on the safety of ICVs.

中文翻译:

智能和互联车辆安全的侧通道分析:新视角

随着ICV的不断扩展和加深,先进技术不断涌现,使ICV变得更加智能,可以为驾驶员提供服务和保护。尽管ICV的开发为用户带来了极大的便利和更好的驾驶体验,但同时也为恶意攻击者带来了许多入侵门户。有许多敌对的入侵者只专注于通过利用某些攻击技术来实现恶意入侵,例如通过SCA窃取用户的隐私。但是,技术是一把双刃剑。我们可以利用现有的攻击技术来做有意义的事情,这对社会发展是有益的。为此,对ICV中的安全威胁进行了调查,尤其是SCA的应用。之后,我们提出使用SCA进行驾驶员识别和非法驾驶员检测的方案,并深入了解每种方案的优点和局限性。实验结果表明,使用至少10分钟的训练数据和1分钟以上的测试数据,身份认证的准确性可以达到100%。基于最近的进展,讨论了未来的研究机会,以激励更多的研究人员关注ICV的安全性。
更新日期:2020-04-22
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