A survey on securing UAS cyber physical systems

Leccadito, Matthew; Bakker, Tim; Klenke, Robert H.; Elks, Carl

doi:10.1109/maes.2018.160145

Cited by 19 publications

(7 citation statements)

References 20 publications

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Section: Prior Survey Papersmentioning

confidence: 99%

“…There are several survey studies on the security of UAV-aided communication systems [30], [39], [40], [41], [42], [43], [44], [45], [46]. In particular, the survey paper [39] has considered various cyber vulnerabilities on drones along with their mitigation techniques and defensive strategies. It has covered works on classifying the application scenarios based on channel encryption, providing secure and reliable firmware via monitoring, and overhauling corrupted components of the communication system hardware.…”

Section: Prior Survey Papersmentioning

confidence: 99%

See 1 more Smart Citation

Security Threats and Mitigation Techniques in UAV Communications: A Comprehensive Survey

et al. 2022

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Unmanned aerial vehicles (UAVs) have been instrumental in enabling many new applications and services, including military and rescue operations, aerial surveillance, civilian applications, precision farming, as well as providing extensive wireless network access in remote areas. They have also been used in other areas such as transmission line and oil rig monitoring, disaster recovery, etc. With their increasing payload ability and flight duration, using UAVs is a preferred choice for a multitude of upcoming wireless communication systems. However, because of their open operational nature, UAVs are highly vulnerable to severe security breaches via cyber attacks, eavesdropping on navigational and communication links, etc. Given their widespread applications, the requirement of secured UAV communications has become more and more critical since security failures can lead to detrimental consequences. Several works have examined the extent of privacy and security issues in UAV-assisted networks and introduced various mitigation techniques to address different security challenges. In this paper, a comprehensive survey is conducted that centers on the security issues related to UAV-aided networks. A descriptive taxonomy of various security intrusions on the UAV networks and commonly-used secrecy performance metrics are thoroughly reviewed. An in-depth discussion is provided on alleviating threats with proactive security techniques blended with key wireless communication technologies such as mmWave, non-orthogonal multiple access (NOMA), massive multiple-input multiple-output (MIMO), and cognitive radio. Moreover, several emerging topics like machine learning, software-defined networks, fog and edge computing, blockchain, are discussed in the context of UAV-aided secure communications.INDEX TERMS Physical layer security, unmanned aerial vehicles (UAVs), proactive mitigation techniques, secrecy metrics, emerging wireless technologies.GAURAV KUMAR PANDEY (Graduate Student Member, IEEE) received the B.Tech. degree in electrical and electronics engineering from the

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Section: Prior Survey Papersmentioning

confidence: 99%

Section: Prior Survey Papersmentioning

confidence: 99%

Security Threats and Mitigation Techniques in UAV Communications: A Comprehensive Survey

et al. 2022

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“…However, the IoD architecture incorporated with the security and privacy mechanism was not explored. In [25], the authors reviewed the architecture and state of the art vulnerabilities of drones against cyber-attacks and the mitigation, countermeasures, and defence strategy. Additionally, the areas that require an urgent emphasis on securing drones were recommended by the authors.…”

Section: Introductionmentioning

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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“…Among the reasons identified, it can be mentioned the disparity in research and application of techniques: whereas well-known methods (including models and techniques) have been effectively applied to achieve safety, security is, in many respects, a discipline still in evolution, e.g. in unmanned aerial systems [14], IoT [10], and vehicular clouds [12]. This assessment is true in particular for the aeronautics domain where stringent certification processes exist and are based upon broad consensus and operable standards.…”

Section: Introductionmentioning

confidence: 99%

Method and framework for security risks analysis guided by safety criteria

Pedroza

Mockly

2020

Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedi

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As previously discussed [19], the challenges to achieve a consistent intertwining between safety and security are rather diverse and complex. Recent advances in safety and security suggest that risks analyses provide guidance for achieving a comprehensive alignment. However, for many domains, like in aeronautics, security is rather a recent concern whereas aircraft development has been mostly guided by safety criteria for several decades. The referred disparity along with the fact that security is, in many respects, a discipline still in evolution, imposes restrictions for specifying and applying methods to conduct safety and security co-engineering as a unified process. In this paper, we present the progress in the development of a model-based method, a framework and a tool useful to conduct a security risks analysis guided by safety criteria and goals. Among others, the approach relies on know-how found in the state of the art, in standards like ED202, ED203 (EUROCAE) 1 , as well as in open knowledge bases like CAPEC and CWE (MITRE) 2. These sources are integrated which allows the instantiation of patterns of attacks, vulnerabilities, and architectures, which are crucial elements to semi-automate the analysis. A rule-based algorithm for exploring potential attack paths across an architecture is proposed and implemented. The approach is finally demonstrated by analyzing a combined attack-failure path in a Flight Control System which can undermine the safety of a modern aircraft. The framework and tool support seek safety-security by design and aim to facilitate the reuse of case studies and to settle a basis for repeatability and results comparison. CCS CONCEPTS • Applied computing → Computer-aided design; • Security and privacy → Distributed systems security; • Computing methodologies → Model development and analysis; • Software and its engineering → Integrated and visual development environments.

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A survey on securing UAS cyber physical systems

Cited by 19 publications

References 20 publications

Security Threats and Mitigation Techniques in UAV Communications: A Comprehensive Survey

Security Threats and Mitigation Techniques in UAV Communications: A Comprehensive Survey

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

Method and framework for security risks analysis guided by safety criteria

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