A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques

Chamola, Vinay; Kotesh, Pavan; Agarwal, Akhil; Naren,; Gupta, Nidhi Rani; Guizani, Mohsen

doi:10.1016/j.adhoc.2020.102324

Cited by 173 publications

(75 citation statements)

References 76 publications

(72 reference statements)

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“…In recent years, UAV networks have great progress in the field of wireless big data such as search and rescue operations, military duties, and delivery services, and establishing a secure communication link. Considering that these UAVs can be controlled remotely automatically or using an operator, and also the communication link between UAVs and the ground control station is a wireless communication link that allows attackers to control a UAV with their operations and cause it to crash, numerous security methods have been proposed [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Self-adaptive Intrusion Detection System for UAV-to-UAV Communications in UAV Networks

Fotohi

Abdan

2021

Preprint

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Unmanned aerial vehicles (UAVs) have recently attracted many researchers' attention because of their extensive applications. Security issues, in particular, are a serious concern in such networks since the top-secret information exchanged between UAVs is susceptible to various attacks such as Sybil, blackhole, and Flooding attacks. To identify such malicious UAVs that threaten the connections between normal UAVs, we introduce an impermeability method called SID-UAV that works at the level of UAV-to-UAV. The SID-UAV method, by employing a self-adaptive system, discovers the most reliable route from origin to destination. This approach deals with finding the malicious UAV and selecting the most reliable routes in several phases, including the route discovery phase, the decision-making phase, the attacker counter phase, and the knowledge database phase by using multi-module methods and applying Human Immune System (HIS). In the SID-UAV method, three main modules are intended: route analysis module, decision module, and defense module. Each of these modules has sub-modules and is distributed in different parts in UAV networks. Each module and its sub-modules have tasks, and all of these modules are connected to the knowledge base to record information in it and use the stored information quickly. The NS-3 simulator tool is exploited to simulate the proposed method. The results gained from simulation indicated that the SID-UAV method in criteria of Average Detection Ratio (ADR), Average Packet Delivery Ratio (APDR), Average Packet Lost Ratio (APLR), Average False Positive (AFP), Average False Negative (AFN) have acceptable performance relative to BRUIDS, SFA, and SUAS-HIS methods.

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Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Self-adaptive Intrusion Detection System for UAV-to-UAV Communications in UAV Networks

Fotohi

Abdan

2021

Preprint

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“…Fortunately, the IoD's applications in various civilians are now evolving rapidly. This significant increase in applications is due to the rapid advancement in science and technology [26,34,35]. Moreover, advancement in technological mechanisms such as the Global Positioning System (GPS), Global Navigational Satellite System (GNSS), Light Detection and Ranging (LIDAR), Synthetic Aperture Radars (SARs), Inertial Measurement Unit (IMU), Robotics, and Imaging Sensing (RIS) has much contributed to the rise of drones [3].…”

Section: B Technological Advancement Of the Internet Of Drones Paradigmmentioning

confidence: 99%

Internet of Drones Security and Privacy Issues: Taxonomy and Open Challenges

et al. 2021

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Internet of Drones (IoD) is a decentralized network and management framework that links drones' access to the controlled airspace and provides inter-location navigation services. The interconnection of drones in the IoD network is through the Internet of Things (IoT). Hence the IoD network is vulnerable to all the security and privacy threats that affect IoT networks. It is highly required to safeguard a good atmosphere free from security and privacy threats to get the desired performance from IoD applications. Security and privacy issues have significantly restricted the overall influence of the IoD paradigm. There are existing survey studies that helped lay a vital foundation for understanding the IoD security and privacy issues. However, not all have thoroughly investigated the level of security and privacy threats associated with the various drone categories. Besides, most existing review studies do not examine secured IoD architecture. This paper aims to assess the recent trends in the security and privacy issues that affect the IoD network. We investigate the level of security and privacy threats of the various drone categories. We then highlight the need for secured IoD architecture and propose one. We also give a comprehensive taxonomy of the attacks on the IoD network. Moreover, we review the recent IoD attack mitigating techniques. We also provide the performance evaluation methods and the performance metrics employed by the techniques. Finally, we give research future direction to help researchers identify the latest opportunities in IoD research.

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“…There are expectations that world spending related to research, development and procurement of UCAVs will increase from 11.1 billion dollars in 2020 to 14.3 billion by 2029, which represents adoption by almost 30 percent (Harper, 2020). Israel, the United States, and China are the leading manufacturers of combat drones (Chamola et al, 2021). The United States has supplied UCAVs exclusively to NATO members for many years.…”

Section: Opportunitiesmentioning

confidence: 99%

The impact of the Nagorno-Karabakh conflict in 2020 on the perception of combat drones

Ilić¹,

Tomašević²

2021

Serb J Engin Manag

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The use of combat drones has been existing for more than a century. Only in recent years have we witnessed how the evolutionary process with the advancement of technology has turned into a real revolution. The conflict in Nagorno-Karabakh in 2020 was one of the turning points in the application of this disruptive technology for combat purposes. As never before, the mass use of combat drones has not decisively influenced the outcome of a conflict. Due to the importance of the mentioned conflict, an SWOT analysis of the possibility of using combat drones in local conflicts was performed. The conclusions drawn can help both in understanding the outcome of the conflict and in defining the direction in which the further application of these combat systems will progress in the future.

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A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques

Cited by 173 publications

References 76 publications

WITHDRAWN: Self-adaptive Intrusion Detection System for UAV-to-UAV Communications in UAV Networks

WITHDRAWN: Self-adaptive Intrusion Detection System for UAV-to-UAV Communications in UAV Networks

Internet of Drones Security and Privacy Issues: Taxonomy and Open Challenges

The impact of the Nagorno-Karabakh conflict in 2020 on the perception of combat drones

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