UAV-Assisted Attack Prevention, Detection, and Recovery of 5G Networks

Abdalla, Aly Sabri; Powell, Keith; Marojevic, Vuk; Geraci, Giovanni

doi:10.1109/mwc.01.1900545

Cited by 68 publications

(17 citation statements)

References 12 publications

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“…Furthermore, PID u is integrated in the message R 1 =h(PID G ||T 1 ) ⊕PID u during mutual authentication process. It is hard problem in polynomial terms to recover the 160-bit random integer on account of guessing the values [25], so it is not feasible to calculate the legitimate identity of mobile drone CMD i without compromising the high entropy factor k. Thus our scheme affirms anonymity to the participants in protocol.…”

Section: Anonymitymentioning

confidence: 93%

A Secure Key Agreement Scheme for Unmanned Aerial Vehicles-Based Crowd Monitoring System

Alzahrani¹,

Barnawi²,

Irshad³

et al. 2022

Computers, Materials &Amp; Continua

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Unmanned aerial vehicles (UAVs) have recently attracted widespread attention in civil and commercial applications. For example, UAVs (or drone) technology is increasingly used in crowd monitoring solutions due to its wider air footprint and the ability to capture data in real time. However, due to the open atmosphere, drones can easily be lost or captured by attackers when reporting information to the crowd management center. In addition, the attackers may initiate malicious detection to disrupt the crowd-sensing communication network. Therefore, security and privacy are one of the most significant challenges faced by drones or the Internet of Drones (IoD) that supports the Internet of Things (IoT). In the literature, we can find some authenticated key agreement (AKA) schemes to protect access control between entities involved in the IoD environment. However, the AKA scheme involves many vulnerabilities in terms of security and privacy. In this paper, we propose an enhanced AKA solution for crowd monitoring applications that require secure communication between drones and controlling entities. Our scheme supports key security features, including anti-forgery attacks, and confirms user privacy. The security characteristics of our scheme are analyzed by NS2 simulation and verified by a random oracle model. Our simulation results and proofs show that the proposed scheme sufficiently guarantees the security of crowd-aware communication.

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Section: Anonymitymentioning

confidence: 93%

A Secure Key Agreement Scheme for Unmanned Aerial Vehicles-Based Crowd Monitoring System

Alzahrani¹,

Barnawi²,

Irshad³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…Hence the most effective approach is to apply authentication for LEO SCSs. The authors of [94] proposed an Unmanned Aerial Vehicle (UAV) [95], [96]assisted authentication method to tackle spoofing jamming.…”

Section: Uplink Beammentioning

confidence: 99%

On the Security of LEO Satellite Communication Systems: Vulnerabilities, Countermeasures, and Future Trends

Yue¹,

An²,

Zhang³

et al. 2022

Preprint

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“…Presented in Table I is a detailed content comparison between this article and other relevant surveys and tutorials [6]- [14]. Shorter overview articles can be found in [17]- [22], whereas [23]- [43] comprise other surveys or tutorials with less relevance to the present article.…”

Section: B Contributionmentioning

confidence: 99%

What Will the Future of UAV Cellular Communications Be? A Flight from 5G to 6G

Geraci¹,

García‐Rodríguez²,

Azari³

et al. 2021

Preprint

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What will the future of UAV cellular communications be? In this tutorial article, we address such a compelling yet difficult question by embarking on a journey from 5G to 6G and sharing a large number of realistic case studies supported by original results. We start by overviewing the status quo on UAV communications from an industrial standpoint, providing fresh updates from the 3GPP and detailing new 5G NR features in support of aerial devices. We then show the potential and the limitations of such features. In particular, we demonstrate how sub-6 GHz massive MIMO can successfully tackle cell selection and interference challenges, we showcase encouraging mmWave coverage evaluations in both urban and suburban/rural settings, and we examine the peculiarities of direct device-todevice communications in the sky. Moving on, we sneak a peek at next-generation UAV communications, listing some of the use cases envisioned for the 2030s. We identify the most promising 6G enablers for UAV communication, those expected to take the performance and reliability to the next level. For each of these disruptive new paradigms (non-terrestrial networks, cellfree architectures, artificial intelligence, reconfigurable intelligent surfaces, and THz communications), we gauge the prospective benefits for UAVs and discuss the main technological hurdles that stand in the way. All along, we distil our numerous findings into essential takeaways, and we identify key open problems worthy of further study.

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UAV-Assisted Attack Prevention, Detection, and Recovery of 5G Networks

Cited by 68 publications

References 12 publications

A Secure Key Agreement Scheme for Unmanned Aerial Vehicles-Based Crowd Monitoring System

A Secure Key Agreement Scheme for Unmanned Aerial Vehicles-Based Crowd Monitoring System

On the Security of LEO Satellite Communication Systems: Vulnerabilities, Countermeasures, and Future Trends

What Will the Future of UAV Cellular Communications Be? A Flight from 5G to 6G

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