Reverse Engineering for UAV Control Protocol Based on Detection Data

Zhi, Yang; Gou, Xiantai; Jin, Weidong; Haowen, Xu; Zeng, Lingyuan

doi:10.1109/icmip.2017.30

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…Similarly, SkyJack [82] is a malicious software that, once implanted in a rogue drone, can wirelessly carry out authentication attacks via Wi-Fi to gain control of other drones and compromise the entire system. c) Reverse engineering: By reverse engineering UAV software, intruders may develop exploits to endanger the security, confidentiality, and integrity of UAVs [83]. They could also undermine trust in UAV technology and its applications.…”

Section: B Cyber Attacksmentioning

confidence: 99%

Understanding and Securing Unmanned Aerial Vehicle (UAV) Services: A Comprehensive Tutorial

Anagnostis,

Kotzanikolaou,

Douligeris

2024

Preprint

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Section: B Cyber Attacksmentioning

confidence: 99%

Understanding and Securing Unmanned Aerial Vehicle (UAV) Services: A Comprehensive Tutorial

Anagnostis,

Kotzanikolaou,

Douligeris

2024

Preprint

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“…[50] e.g. reverse engineering [56] Hiding sensitive parts of the code (obfuscation) and steganography (the practice of concealing information within non-secret data) [57], file encryption [58], removing some key parts of the code from the main program and secure them with high level of protection.…”

mentioning

confidence: 99%

An In-Depth Examination of Artificial Intelligence-Enhanced Cybersecurity in Robotics, Autonomous Systems, and Critical Infrastructures

Santoso,

Finn

2024

IEEE Trans. Serv. Comput.

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Recent developments in cutting-edge robotics have been constantly faced with increased cyber-threats, not only in terms of the quantity or the frequency of attacks, but also when it comes to the quality and the severity of the intrusions. This paper provides a systematic overview and critical assessment of state-of-the-art scientific developments in the security aspects of robotics, autonomous systems, and critical infrastructures. Our review highlights open research questions addressing significant research gaps and/or new conceptual frameworks, considering recent advancements in artificial intelligence (AI) and machine learning. Thus the contributions of this paper can be summarised as follows. We first compare and contrast the benefits of multiple cutting-edge AI-based learning algorithms (e.g., fuzzy logic and neural networks) relative to traditional model-based systems (e.g. distributed control and filtering). Subsequently, we point out some specific benefits of AI algorithms to quickly learn and adapt the dynamics of non-linear systems in the absence of complex mathematical models. We also present some potential future research directions (open challenges) in the field. Lastly, this review also delivers an open message to encourage collaborations among experts from multiple disciplines. The implementation of multiple AI algorithms to tackle current security issues in robotics will transform and create novel, hybrid knowledge for intelligent cybersecurity at the application level.

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RF Fingerprint Measurement For Detecting Multiple Amateur Drones Based on STFT and Feature Reduction

Chen

Liu

et al. 2020

2020 Integrated Communications Navigation and Surveillance Conference (ICNS)

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Reverse Engineering for UAV Control Protocol Based on Detection Data

Cited by 3 publications

References 6 publications

Understanding and Securing Unmanned Aerial Vehicle (UAV) Services: A Comprehensive Tutorial

Understanding and Securing Unmanned Aerial Vehicle (UAV) Services: A Comprehensive Tutorial

An In-Depth Examination of Artificial Intelligence-Enhanced Cybersecurity in Robotics, Autonomous Systems, and Critical Infrastructures

RF Fingerprint Measurement For Detecting Multiple Amateur Drones Based on STFT and Feature Reduction

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