Controller Area Network Intrusion Prevention System Leveraging Fault Recovery

Controller Area Network Intrusion Prevention System Leveraging Fault Recovery
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利用故障恢复的控制器局域网入侵防御系统

DOI:
10.1145/3338499.3357360
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发表时间:
2019
期刊:
Proceedings of the ACM Workshop on Cyber-Physical Systems Security & Privacy
影响因子:
--
通讯作者:
Bloom, Gedare
Bloom, Gedare
中科院分区:
--
文献类型:
--
作者:
Olufowobi, Habeeb;Hounsinou, Sena;Bloom, Gedare

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汽车对安全性、舒适性和自动化的需求不断增长,这增加了它们面对网络安全风险和攻击的脆弱性。现在汽车嵌入了几个电子设备来执行这些功能,这些系统设计的复杂性随着它们提供的功能的增加而增加。这些设备通过车载网络进行通信,例如控制器局域网(CAN)和本地互连网络,这些都是网络攻击者的诱人目标。在本文中,我们提出了一种新的算法来检测和恢复旨在扭曲CAN总线运行的消息欺骗攻击。在恢复过程中使用CAN消息帧的可预测运行时行为,我们在受损网络节点的基于重新启动的恢复过程中利用CAN总线的错误处理能力(总线关闭状态)。我们将该算法与硬件CAN控制器作为检测节点串联实现,并评估其在检测和恢复受损节点方面的有效性和性能。
The ever-increasing demand for safety, comfort, and automation in the automobile has increased their vulnerability to cybersecurity risk and attacks. Automobiles now embed several electronic devices to perform these functions, and the complexity in the design of these systems increases along with the functionalities they offer. These devices communicate through the vehicular network---such as controller area network (CAN) and local interconnect network---which are attractive targets for cyber attackers. In this paper, we propose a novel algorithm to detect and recover from message spoofing attacks aimed at distorting the operation of the CAN bus. Using the predictable run-time behavior of CAN message frames in our recovery process, we leverage the error handling capability (bus-off state) of the CAN bus in a reboot-based recovery process of the compromised network node. We implement this algorithm in tandem with a hardware CAN controller as a detector node, and we evaluate its effectiveness and performance in detecting and recovering a compromised node.
正在进行的工作:汽车控制器局域网中入侵检测的实时建模
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期刊: 2018 IEEE Real-Time Systems Symposium (RTSS
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