Security of Internet of Things Devices: Ethical Hacking a Drone and its Mitigation Strategies

Karmakar, Gour; Petty, Mark; Hassan, Ahmed; Das, Rajkumar

doi:10.1109/csde56538.2022.10089255

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…The hacker could also bring down the drone, resulting in property damage and the loss of the aircraft. In addition, the hacker could take control of the drone for malicious purposes, or integrate his own drone into the fleet, thus disrupting delivery and causing a denial-ofservice issue [26].…”

Section: B Fleet Of Drones 1) Definition Of a Fleet Of Dronesmentioning

confidence: 99%

A Zero-Trust Model for Intrusion Detection in Drone Networks

OUIAZZANE,

ADDOU,

BARRAMOU

2023

IJACSA

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Today's worldwide introduction of drone fleets in a range of industrial applications has led to numerous network security issues, opening drones up to cyberthreats. In response to these challenges, an innovative approach has been proposed to protect drone fleet networks against potentially dangerous cyberattacks. Indeed, drones are considered as flying computers, and the proposed approach takes into account their complex network structure and communication protocols. The proposed system is designed around a multi-agent architecture, with a hybrid zero-trust detection mechanism against known and emerging cyberthreats. The CICIDS2017 dataset was exploited after performing some essential pre-processing tasks including data cleaning, balancing, binarization and dimension reduction. The proposed approach guaranteed high levels of accuracy and scalability, enabling an effective response to potentially dangerous cyber threat scenarios threatening drone fleets. To evaluate the effectiveness of the proposed system, a test portion of CICIDS2017 was used. The accuracy in recognizing benign network traffic reached 99.99% with a very low false alarm rate, ensuring the system's effectiveness against known and unknown cyber threats. Extensive experimental testing has been carried out on never-before-seen data, highlighting the system's remarkable ability to rapidly recognize cyber threats in real time, thereby enhancing the overall security of drone networks. The contribution of the proposed approach is significant for drone network security, as it introduces a comprehensive model designed to meet the specific security requirements of drone fleets. Finally, the proposed approach offers practical prospects for improving the security of drone applications. Keywords-Fleet of drones; security; zero trust; intrusions; cybersecurity; zero day; Multi-Agent inter-drone communication and real-time data collection [12].There are a wide variety of possible deployments for drone fleets, from surveillance and inspection to precision farming, logistics and delivery, and disaster relief. [13] 2) Communication modes of a fleet of drones: A drone fleet can be designed based on four possible communication architectures: centralized communication architecture, cellular communication architecture, satellite communication architecture and adhoc communication architecture [14] [15]. a) Satellite communication architecture: This architecture involves establishing communications between drones via satellite connections as shown in Fig. 2. Such links offer global coverage and are therefore particularly well suited to applications requiring wide coverage in remote or extensive areas. [16]

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Section: B Fleet Of Drones 1) Definition Of a Fleet Of Dronesmentioning

confidence: 99%

A Zero-Trust Model for Intrusion Detection in Drone Networks

OUIAZZANE,

ADDOU,

BARRAMOU

2023

IJACSA

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Watch the Skies: A Study on Drone Attack Vectors, Forensic Approaches, and Persisting Security Challenges

Adel,

Jan

2024

Future Internet

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In the rapidly evolving landscape of drone technology, securing unmanned aerial vehicles (UAVs) presents critical challenges and demands unique solutions. This paper offers a thorough examination of the security requirements, threat models, and solutions pertinent to UAVs, emphasizing the importance of cybersecurity and drone forensics. This research addresses the unique requirements of UAV security, outlines various threat models, and explores diverse solutions to ensure data integrity. Drone forensics, a field dedicated to the investigation of security incidents involving UAVs, has been extensively examined and demonstrates its relevance in identifying attack origins or establishing accident causes. This paper further surveys artifacts, tools, and benchmark datasets that are critical in the domain of drone forensics, providing a comprehensive view of current capabilities. Acknowledging the ongoing challenges in UAV security, particularly given the pace of technological advancement and complex operational environments, this study underscores the need for increased collaboration, updated security protocols, and comprehensive regulatory frameworks. Ultimately, this research contributes to a deeper understanding of UAV cybersecurity and aids in fostering future research into the secure and reliable operation of drones.

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Security of Internet of Things Devices: Ethical Hacking a Drone and its Mitigation Strategies

Cited by 2 publications

References 7 publications

A Zero-Trust Model for Intrusion Detection in Drone Networks

A Zero-Trust Model for Intrusion Detection in Drone Networks

Watch the Skies: A Study on Drone Attack Vectors, Forensic Approaches, and Persisting Security Challenges

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