Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing

Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing
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DOI:
10.1109/dac56929.2023.10247809
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发表时间:
2023-07
期刊:
2023 60th ACM/IEEE Design Automation Conference (DAC)
影响因子:
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通讯作者:
Xiangguo Liu;Y. Luo;Anthony Goeckner;Trishna Chakraborty;Ruochen Jiao;Ningfei Wang;Yixuan Wang;Takami Sato;Qi Alfred Chen;Qi Zhu
Xiangguo Liu;Y. Luo;Anthony Goeckner;Trishna Chakraborty;Ruochen Jiao;Ningfei Wang;Yixuan Wang;Takami Sato;Qi Alfred Chen;Qi Zhu
中科院分区:
其他
文献类型:
--
作者:
Xiangguo Liu;Y. Luo;Anthony Goeckner;Trishna Chakraborty;Ruochen Jiao;Ningfei Wang;Yixuan Wang;Takami Sato;Qi Alfred Chen;Qi Zhu

文献摘要

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边缘和云计算平台,车辆临时网络以及机器学习技术的快速发展为下一代连接和自动化车辆(CAVS)带来了机会和挑战。一方面,这些技术可以使车辆能够利用Edge和Cloud服务器的更多计算能力,并相互共享信息以及周围的基础架构,以提高情况意识和更聪明的决策。另一方面,V2X(车辆到所有内容)通信的分布式计算过程和无线性质使脆弱性暴露于各种干扰和攻击中。在本文中,我们讨论了支持边缘和云的骑士的安全性和安全性挑战,尤其是当它们处于环境干扰,执行错误和恶意攻击下时,我们将介绍我们最近的工作和未来方向,以开发系统驱动的系统驱动,端到端的方法论和工具,以应对这些挑战并确保在不认同下确保系统的稳定性。
The rapid advancement of edge and cloud computing platforms, vehicular ad-hoc networks, and machine learning techniques have brought both opportunities and challenges for next-generation connected and automated vehicles (CAVs). On the one hand, these technologies can enable vehicles to leverage more computing power from edge and cloud servers and to share information with each other and surrounding infrastructures for better situation awareness and more intelligent decision making. On the other hand, the more distributed computing process and the wireless nature of V2X (vehicle-to-everything) communication expose vulnerabilities to various disturbances and attacks. In this paper, we discuss the security and safety challenges for edge- and cloud-enabled CAVs, particularly when they are under environment interferences, execution errors, and malicious attacks, and we will introduce our recent work and future directions in developing system-driven, end-to-end methodologies and tools to address these challenges and ensure system resiliency under uncertainties.