【24h】

Analysis of Security Overhead in Broadcast V2V Communications

机译:广播V2V通信中的安全性开销分析

获取原文

摘要

This paper concerns security issues for broadcast vehicle to vehicle (V2V) messages carrying vehicle status information (location, heading, speed, etc.). These are often consumed by safety-related applications that e.g. augment situational awareness, issue alerts, recommend courses of action, and even trigger autonomous action. Consequently, the messages need to be both trustworthy and timely. We explore the impact of authenticity and integrity protection mechanisms on message latency using a model based on queuing theory. In conditions of high traffic density such as found in busy city centres, even the latency requirement of 100 ms for first generation V2V applications was found to be challenging. Our main objective was to compare the performance overhead of the standard, PKC-based, message authenticity and integrity protection mechanism with that of an alternative scheme, TESLA, which uses symmetric-key cryptography combine with hash chains. This type of scheme has been dismissed in the past due to supposed high latency, but we found that in high traffic density conditions it outperformed the PKC-based scheme, without invoking congestion management measures. Perhaps the most significant observation from a security perspective is that denial of service attacks appear very easy to carry out and hard to defend against. This merits attention from the research and practitioner communities and is a topic we intend to address in the future.
机译:本文涉及携带车辆状态信息(位置,方向,速度等)的广播车辆到车辆(V2V)消息的安全性问题。这些通常被安全相关的应用程序所消耗,例如增强态势感知,发出警报,推荐行动方案,甚至触发自主行动。因此,消息需要既值得信赖又及时。我们使用基于排队论的模型探索真实性和完整性保护机制对消息延迟的影响。在繁忙的城市中心等高流量密度的情况下,对于第一代V2V应用程序甚至100ms的延迟要求也被认为具有挑战性。我们的主要目标是将基于PKC的标准消息真实性和完整性保护机制的性能开销与使用对称密钥加密技术与哈希链相结合的替代方案TESLA的性能开销进行比较。这种类型的方案由于假定的高延迟而在过去已被取消,但是我们发现,在高流量密度条件下,该方案优于基于PKC的方案,而无需调用拥塞管理措施。从安全角度来看,最重要的观察结果可能是拒绝服务攻击非常容易执行且很难防御。这值得研究人员和从业人员的关注,这是我们将来要解决的主题。

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号