{"title":"Advancing UAV security with artificial intelligence: A comprehensive survey of techniques and future directions","authors":"Fadhila Tlili , Samiha Ayed , Lamia Chaari Fourati","doi":"10.1016/j.iot.2024.101281","DOIUrl":null,"url":null,"abstract":"<div><p>Unmanned Aerial Vehicles (UAVs) have become an integral part of modern smart cities and systems. However, the proliferation of UAVs has also brought a significant security concern. Therefore, UAVs security has attracted the interest of researchers in the field. To safeguard these leading devices, researchers and developers adopted artificial intelligence (AI) to improve the security system. Besides, emerging AI frameworks have entirely changed the landscape of UAVs quality of experience (QoE) by contributing to diverse issues. Meanwhile, owing to the novelty of the subject, AI-based frameworks for UAVs security were not carefully surveyed. The purpose of this study is to present a comprehensive survey of AI-based solutions for UAVs security provisioning through different techniques and algorithms. We assess and identify the recent AI solutions and the open research problems in the emerging field of UAV security. The study begins with an overview of UAV basics, their primary components, and the different communication links among networked UAVs. In addition, the paper explores UAVs security issues, threats, and attacks. This led to a discussion of proposed AI-based solutions for prevention and detection. Moreover, the paper categorizes AI-based solutions for UAV security and proposes a taxonomy to organize these approaches effectively. Finally, the review identifies open issues and future directions, offering valuable insights for researchers. The study methodology includes an extensive review of relevant publications in the past five years across UAVs, cyber-attacks, and AI. Therefore, this review presents an essential resource for understanding the current landscape of AI-based solutions for UAV security.</p></div>","PeriodicalId":29968,"journal":{"name":"Internet of Things","volume":null,"pages":null},"PeriodicalIF":6.0000,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internet of Things","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2542660524002221","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Unmanned Aerial Vehicles (UAVs) have become an integral part of modern smart cities and systems. However, the proliferation of UAVs has also brought a significant security concern. Therefore, UAVs security has attracted the interest of researchers in the field. To safeguard these leading devices, researchers and developers adopted artificial intelligence (AI) to improve the security system. Besides, emerging AI frameworks have entirely changed the landscape of UAVs quality of experience (QoE) by contributing to diverse issues. Meanwhile, owing to the novelty of the subject, AI-based frameworks for UAVs security were not carefully surveyed. The purpose of this study is to present a comprehensive survey of AI-based solutions for UAVs security provisioning through different techniques and algorithms. We assess and identify the recent AI solutions and the open research problems in the emerging field of UAV security. The study begins with an overview of UAV basics, their primary components, and the different communication links among networked UAVs. In addition, the paper explores UAVs security issues, threats, and attacks. This led to a discussion of proposed AI-based solutions for prevention and detection. Moreover, the paper categorizes AI-based solutions for UAV security and proposes a taxonomy to organize these approaches effectively. Finally, the review identifies open issues and future directions, offering valuable insights for researchers. The study methodology includes an extensive review of relevant publications in the past five years across UAVs, cyber-attacks, and AI. Therefore, this review presents an essential resource for understanding the current landscape of AI-based solutions for UAV security.
期刊介绍:
Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT.
The journal will place a high priority on timely publication, and provide a home for high quality.
Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.