日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
セキュリティarXiv:2409.01324

自動運転システムのソフトウェアとハードウェアに対するサービス拒否攻撃の実証研究

An Investigation of Denial of Service Attacks on Autonomous Driving Software and Hardware in Operation

シェア:XThreadsFacebookLINEはてブBluesky

ICMPフラッド攻撃を自動運転スタックとGNSS-RTK測位装置に加え、ソフトウェアは比較的耐性がある一方、測位装置はサンプルレートが最大5%まで低下するなど深刻な脆弱性を示した。

著者: Tillmann Stübler, Andrea Amodei, Domenico Capriglione, Giuseppe Tomasso, Nicolas Bonnotte, Shawan Mohammed

分類: eess.SY, cs.RO, cs.SY

原文アブストラクト

This research investigates the impact of Denial of Service (DoS) attacks, specifically Internet Control Message Protocol (ICMP) flood attacks, on Autonomous Driving (AD) systems, focusing on their control modules. Two experimental setups were created: the first involved an ICMP flood attack on a Raspberry Pi running an AD software stack, and the second examined the effects of single and double ICMP flood attacks on a Global Navigation Satellite System Real-Time Kinematic (GNSS-RTK) device for high-accuracy localization of an autonomous vehicle that is available on the market. The results indicate a moderate impact of DoS attacks on the AD stack, where the increase in median computation time was marginal, suggesting a degree of resilience to these types of attacks. In contrast, the GNSS device demonstrated significant vulnerability: during DoS attacks, the sample rate dropped drastically to approximately 50% and 5% of the nominal rate for single and double attacker configurations, respectively. Additionally, the longest observed time increments were in the range of seconds during the attacks. These results underscore the vulnerability of AD systems to DoS attacks and the critical need for robust cybersecurity measures. This work provides valuable insights into the design requirements of AD software stacks and highlights that external hardware and modules can be significant attack surfaces.

関連論文

PR本紙発行元 EmplifAI