论文标题

Divider:汽车网络中的基于延迟时间的发件人识别

Divider: Delay-Time Based Sender Identification in Automotive Networks

论文作者

Ohira, Shuji, Desta, Araya Kibrom, Kitagawa, Tomoya, Arai, Ismail, Fujikawa, Kazutoshi

论文摘要

控制器区域网络(CAN)是用于在电子控制单元(ECU)之间通信的车载网络协议之一,并且已成为事实上的标准。 CAN很简单,并且具有几个漏洞,例如无法区分欺骗消息,因为它不支持任何身份验证或发件人识别属性。在先前的工作中,已经提出了一些基于电压的方法来识别发件人节点。这些方法可以高精度识别ECU。但是,源识别的准确性取决于从电压使用采样的连续函数中提取的特征。通常,随着采样率的增加,识别的准确性得到提高。尽管用于识别的数据量也增加了。因此,希望创建一个入侵检测系统(IDS),该系统使用很少的采样功能来识别ECU,因为车辆中的计算资源有限。在本文中,我们提出了一种基于延迟时间的发件人识别ECU的识别方法。我们确认,所提出的方法在CAN BUS原型中实现了96.7%的真实正率,反对受损害的ECU发作的发作,从而检测出来自未经监测的ECU的欺骗攻击,其真实vehicle的真实正速率为98.0%。

Controller Area Network (CAN) is one of the in-vehicle network protocols that is used to communicate among Electronic Control Units (ECUs) and has been de-facto standard. CAN is simple and has several vulnerabilities such as unable to distinguish spoofing messages because it does not support any authentication or sender identification properties. In previous work, some voltage-based methods to identify the sender node have been proposed. The methods can identify ECUs with high accuracy. However, the accuracy of source identification depends on a feature that is extracted from a continuous function of voltage use sampling. In general, as the sampling rate increases, the accuracy of identification is improved. Though the amount of data used for the identification increases too. Hence, it is desired to create an Intrusion Detection System (IDS) that identifies ECUs using few sampling features as there is a limited computing resource in vehicles. In this paper, we propose a delay-time based sender identification method of ECUs. We confirm that the proposed method achieved a true positive rate of 96.7% in CAN bus prototype against spoofing attack from a compromised ECU, detecting spoofing attack from an unmonitored ECU with a true positive rate of 98.0% in real-vehicle.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源