Cybersecurity in Unmanned Aerial Vehicles: a Review

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Wasswa Shafik, S. Mojtaba Matinkhah, Fawad Shokoor
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引用次数: 0

Abstract

Abstract Context With the rapid advancement of unmanned aerial vehicle (UAV) technology, ensuring these autonomous systems’ security and integrity is paramount. UAVs are susceptible to cyberattacks, including unauthorized access, control, or manipulation of their systems, leading to potential safety risks or unauthorized data retrieval. Moreover, UAVs encounter limited computing resources, wireless communication and physical vulnerabilities, evolving threats and techniques, necessity for compliance with regulations, and human factors. Methods This review explores the potential cyberthreats faced by UAVs, including hacking, spoofing, and data breaches, and highlights the critical need for robust security measures. It examines various strategies and techniques used to protect UAVs from cyberattacks, e.g., encryption, authentication, and intrusion detection systems using cyberthreat analysis and assessment algorithms. The approach to assess the UAVs’ cybersecurity hazards included STRIDE (a model for identifying computer security-related threats) connected with the threats considered. Findings Emphasis was laid on the evaluation highly depending on the accuracy of UAV mission definition, potential intruders, and social and other human-related situations. The review discovered that most studies focused on possible intruders’ portraits, which can be crucial when conducting a cybersecurity assessment. Based on a review, future research directions to mitigate cybersecurity risks are presented. Significance Protecting UAVs from cyberthreats ensures safe operations and data integrity and preserves public trust in autonomous systems.
无人机网络安全:综述
摘要背景随着无人机(UAV)技术的快速发展,确保这些自主系统的安全性和完整性至关重要。无人机容易受到网络攻击,包括未经授权的访问、控制或操纵其系统,导致潜在的安全风险或未经授权的数据检索。此外,无人机遇到有限的计算资源、无线通信和物理漏洞、不断发展的威胁和技术、遵守法规的必要性以及人为因素。本文探讨了无人机面临的潜在网络威胁,包括黑客攻击、欺骗和数据泄露,并强调了对强大安全措施的迫切需求。它研究了用于保护无人机免受网络攻击的各种策略和技术,例如,使用网络威胁分析和评估算法的加密、身份验证和入侵检测系统。评估无人机网络安全危害的方法包括STRIDE(一种识别计算机安全相关威胁的模型),该模型与所考虑的威胁有关。重点放在高度依赖无人机任务定义、潜在入侵者以及社会和其他与人类相关的情况的准确性的评估上。审查发现,大多数研究都集中在可能的入侵者的肖像上,这在进行网络安全评估时至关重要。在此基础上,展望了未来网络安全风险的研究方向。保护无人机免受网络威胁可确保安全操作和数据完整性,并保持公众对自主系统的信任。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.70
自引率
8.30%
发文量
15
审稿时长
8 weeks
期刊介绍: nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity
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