重型车辆交通负荷下的假名证书验证

Santos Jha, Chaitanya Yavvari, D. Wijesekera
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引用次数: 3

摘要

安全凭据管理系统(Security Credential Management System, SCMS)被提议提供一个信任框架,通过颁发带有隐式证书的假名来确保DSRC消息的完整性、真实性和不可链接性。然而,在机载单元(OBU)上验证消息的完整性和真实性会导致大约22ms的处理延迟。考虑到每辆车以10Hz的速率发出的基本安全信息(BSMs)产生了许多信息,需要在繁忙的车辆交通中由自我车辆验证。这样的流量负载可能会在处理安全关键信息时造成延迟。为了避免这种延迟,我们提出了一种消息处理算法,该算法基于自我车辆的近邻提供了3级处理优先级。我们表明,在真实的高速公路场景中,我们的算法在增加的车辆交通负荷下表现良好,这些情况与消息截止日期缺失率和累积未处理的消息队列长度有关。此外,我们建议扩展具有交叉认证功能的SCMS,以便使用个性化的SCMS信任根促进跨管理边界的无缝证书验证。
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Pseudonym Certificate Validations under Heavy Vehicular Traffic Loads
The Security Credential Management System (SCMS) has been proposed to provide a trust framework that ensures integrity, authenticity, and unlinkability of DSRC messages by issuing pseudonyms with implicit certificates. Nevertheless, validating the integrity and authenticity of a message at an On-Board Unit (OBU) incurs processing delays of about 22ms. Given that Basic Safety Messages (BSMs) are emitted by every vehicle at a rate of 10Hz creates many messages to be validated by an ego vehicle under heavy vehicular traffic. Such traffic loads may create delays in the processing of safety critical messages. In order to avoid such delays, we propose a message processing algorithm that provides a 3 level processing priority based on the immediate neighborhood of an ego vehicle. We show that our algorithm performs well under increasing vehicular traffic loads on realistic highway scenarios measured with respect to message deadline miss ratios and accumulating unprocessed message queue lengths. Further, we propose extending SCMS with cross certification capabilities in order to facilitate seamless certificate validation across administrative boundaries with individualized SCMS trust roots.
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