Cybersecurity of Connected Autonomous Vehicles A ranking based approach

被引:0
作者
Burzio, Gianfranco [1 ]
Cordella, Giuseppe Faranda [1 ]
Colajanni, Michele [2 ]
Marchetti, Mirco [2 ]
Stabili, Dario [2 ]
机构
[1] Drivesec Srl, Turin, Italy
[2] Univ Modena & Reggio Emilia, Interdept Res Ctr Secur & Safety, Modena, Italy
来源
2018 INTERNATIONAL CONFERENCE OF ELECTRICAL AND ELECTRONIC TECHNOLOGIES FOR AUTOMOTIVE | 2018年
关键词
cybersecurity; autonomous driving; certification;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The concordant vision of the future automotive landscape foresees vehicles that are always connected to infrastructure and Cloud services, and that are equipped with autonomous driving or advanced driver assistance systems. It is clear that in a similar scenario cybersecurity of modern and future vehicles is paramount. With connected autonomous vehicles the protection from external attack will be an essential requirement, motivated by the outstanding safety implications of an autonomous vehicles remotely controlled by an attacker or a "malware". However, the automotive industry still lacks reliable and repeatable methods to assess the cybersecurity level of modern cars. This paper has a twofold contribution. First, it describes the ongoing effort of regulatory bodies within the European Union toward the definition of cybersecurity certification schemes. Second, it outlines the main requirements of a cybersecurity ranking approach that is suitable for certifying the security level of connected vehicles. Since improved cybersecurity guarantees will come at the expense of increased complexity and costs, the proposed ranking approach allows to assess whether the cybersecurity level is appropriate by considering the potential safety risks of a successful attack to the ranked system or subsystem.
引用
收藏
页数:6
相关论文
共 11 条
[1]  
CLUSIT, 2018, RAPP CLUSIT 2018 SI
[2]  
Committee S. V. E. S. S., 2016, J3061 SAE
[3]  
Hernan Shawn, 2006, MSDN MAGAZINE LOUISV
[4]  
HPAC, HVAC BUILD CONTR GAT
[5]  
ISO, 2021, 214342021ED1 ISO SAE
[6]  
Miller C., 2015, BLACK HAT US
[7]  
Miller Charlie, 2014, BLACK HAT US
[8]  
Ravi S., 2004, ACM T EMBED COMPUT S, V3, P461, DOI [DOI 10.1145/1015047.1015049, 10.1145/1015047.1015049]
[9]  
Sans I., SURVIVAL TIME INTERN
[10]  
Solon Olivia, 2016, GUARDIAN