安全无人机和人工智能的巨大前景

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Behrouz Zolfaghari, Mostafa Abbasmollaei, Fahimeh Hajizadeh, Naoto Yanai, Khodakhast Bibak
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引用次数: 0

摘要

除军事和战略领域外,无人驾驶飞行器还应用于从娱乐活动到商业等众多领域。然而,对无人飞行器的研究并没有像技术发展那样迅速。特别是在这些设备的安全性方面,学术界落后于产业界。这一差距促使我们在本文中开展工作,为这一领域的未来研究铺平道路。对无人机和基于无人机的系统的安全性进行全面调查,有助于研究界跟上甚至引领行业发展。虽然有几篇关于无人机或相关领域的综述,但近期还没有一份广泛涵盖各方面安全问题的调查报告。此外,现有的调查报告都没有突出当前和未来的趋势,重点关注人工智能等无所不在的技术的作用。本文致力于克服这些不足。我们全面回顾了无人机的安全挑战以及相关的安全控制。然后,我们以人工智能的作用为重点,为这一领域的研究制定了未来路线图。未来路线图是根据已确定的当前趋势、研究不足的主题和未来展望制定的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secure UAV (Drone) and the Great Promise of AI

UAVs have found their applications in numerous applications from recreational activities to business in addition to military and strategic fields. However, research on UAVs is not going on as quickly as the technology. Especially, when it comes to the security of these devices, the academia is lagging behind the industry. This gap motivates our work in this paper as a stepping stone for future research in this area. A comprehensive survey on the security of UAVs and UAV-based systems can help the research community keep pace with, or even lead the industry. Although there are several reviews on UAVs or related areas, there is no recent survey broadly covering various aspects of security. Moreover, none of the existing surveys highlights current and future trends with a focus on the role of an omnipresent technology such as AI. This paper endeavors to overcome these shortcomings. We conduct a comprehensive review on security challenges of UAVs as well as the related security controls. Then we develop a future roadmap for research in this area with a focus on the role of AI. The future roadmap is established based on the identified current trends, under-researched topics, and a future look-ahead.

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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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