Guardauto: A Decentralized Runtime Protection System for Autonomous Driving
Guardauto: A Decentralized Runtime Protection System for Autonomous Driving
复制标题
Guardauto:自动驾驶的去中心化运行时保护系统
DOI:
10.1109/tc.2020.3018329
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发表时间:
2020-03
影响因子:
3.7
通讯作者:
Yang Liu
中科院分区:
文献类型:
--
作者:
Kun Cheng;Yuan Zhou;Bihuan Chen;Rui Wang;Yuebin Bai;Yang Liu
Due to the broad attack surface and the lack of runtime protection, potential safety and security threats hinder the real-life adoption of autonomous vehicles. Although efforts have been made to mitigate some specific attacks, there are few works on the protection of the autonomous driving system, i.e., the control software system performing such as perception, decision making, and motion tracking. This article presents a decentralized self-protection framework called Guardauto to protect the autonomous driving system against runtime threats. First, Guardauto proposes an isolation model to decouple the autonomous driving system and isolate its components with a set of partitions. Second, Guardauto provides self-protection mechanisms for each target component, which combines different methods to monitor the target execution and plan adaption actions accordingly. Third, Guardauto provides cooperation among local self-protection mechanisms to identify the root-cause component in the case of cascading failures affecting multiple components. A prototype has been implemented and evaluated on the open-source autonomous driving system Autoware. Results show that Guardauto could effectively mitigate runtime failures and attacks, and protect the control system with acceptable performance overhead.
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发表时间:
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期刊:
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影响因子:
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