计算机安全
复杂度
保护
弹性(材料科学)
背景(考古学)
计算机科学
风险分析(工程)
博弈论
可靠性(半导体)
信息物理系统
业务
古生物学
操作系统
微观经济学
热力学
经济
生物
社会学
量子力学
护理部
物理
功率(物理)
社会科学
医学
作者
Junaid Mohammad Qurashi,Muhammad Jawad Ikram,Kamal Jambi,Fathy Eassa,Maher Khemakhem
标识
DOI:10.1109/icaisc56366.2023.10085301
摘要
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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