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arXiv 2007.10528cs.CRcs.DC
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B-FERL:基于区块链的智能汽车安全框架

B-FERL: Blockchain based Framework for Securing Smart Vehicles

Chuka Oham, Regio Michelin, Salil S. Kanhere, Raja Jurdak, Sanjay Jha

摘要:

智能汽车中无处不在的连接技术及其功能的逐步自动化将带来巨大的好处,包括拥堵和道路死亡率的大幅下降。然而,自动化和连通性的提高扩大了攻击面,并提高了恶意实体成功执行攻击的可能性。在本文中,我们提出了一个基于区块链的框架,用于安全的小型车辆(B-FERL)。B-FERL使用许可的区块链技术来定制互联车辆生态系统中受限实体的信息访问。它还使用车辆和路边单元之间的挑战响应数据交换来监控车辆的内部状态,以识别车载网络受损的情况。为了在车辆网络中实现真实有效的通信,只有在区块链中具有可验证记录的车辆才能交换消息。通过定性的参数,我们表明,B-FERL是有弹性的识别攻击。此外,在模拟的情况下的定量评估表明,B-FERL确保一个合适的响应时间和所需的存储大小与现实情况兼容。最后,我们展示了B-FERL如何实现与汽车生态系统相关的各种重要功能,如信任管理,车辆取证和安全的车辆网络。

英文摘要:

The ubiquity of connecting technologies in smart vehicles and the incremental automation of its functionalities promise significant benefits, including a significant decline in congestion and road fatalities. However, increasing automation and connectedness broadens the attack surface and heightens the likelihood of a malicious entity successfully executing an attack. In this paper, we propose a Blockchain based Framework for sEcuring smaRt vehicLes (B-FERL). B-FERL uses permissioned blockchain technology to tailor information access to restricted entities in the connected vehicle ecosystem. It also uses a challenge-response data exchange between the vehicles and roadside units to monitor the internal state of the vehicle to identify cases of in-vehicle network compromise. In order to enable authentic and valid communication in the vehicular network, only vehicles with a verifiable record in the blockchain can exchange messages. Through qualitative arguments, we show that B-FERL is resilient to identified attacks. Also, quantitative evaluations in an emulated scenario show that B-FERL ensures a suitable response time and required storage size compatible with realistic scenarios. Finally, we demonstrate how B-FERL achieves various important functions relevant to the automotive ecosystem such as trust management, vehicular forensics and secure vehicular networks.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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