自动驾驶汽车:安全挑战与基于博弈论的对策

J. M. Qurashi, Muhammad Jawad Ikram, K. Jambi, F. Eassa, Maher Khemakhem
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引用次数: 0

摘要

随着人工智能的扩散及其与包括智慧城市在内的现代基础设施的融合,自主的网络物理系统将成为任何此类项目的核心。许多智慧城市项目计划在不久的将来实施和完成。然而,由于对网络物理系统的大量依赖,安全性和可靠性是一个问题。由于威胁数量的增加和威胁的复杂性的提高,传统的安全措施在保护自动驾驶汽车(av)等安全关键系统方面似乎效率低下。由于无法提供可靠和安全的解决方案,采用此类技术的失败最终可能危及整个智能项目。本文以自动驾驶汽车为例,简要回顾了自动驾驶汽车面临的威胁。作为这些问题的解决方案,我们简要回顾了基于博弈论的解决方案,这些解决方案可以在上下文中提供弹性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Autonomous Vehicles: Security Challenges and Game theory-based Countermeasures
With the proliferation of artificial intelligence and its integration into modern infrastructure including smart cities, autonomous cyber-physical systems will form the core of any such project. Numerous smart-city projects are planned to be implemented and completed in near future. However, with a considerable amount of dependence on cyber-physical systems, safety and reliability are a concern. Due to the increase in the number of threats and the rise in the sophistication of such threats, traditional security measures seem inefficient in safeguarding safety-critical systems including autonomous vehicles (AVs). With the inability to offer reliable and safe solutions, failure in the adoption of such technology eventually may jeopardize the entirety of smart projects. Taking AV as a case study, this paper gives a brief review of the threats to self-driving cars. As a solution to such issues, we give a brief review on game theory-based solutions that could offer resilience in the context.
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