Software-Defined Networking for Unmanned Aerial Vehicular Networking and Security: A Survey

McCoy, James David; Rawat, Danda B.

doi:10.3390/electronics8121468

Cited by 53 publications

(30 citation statements)

References 65 publications

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“…The achievements and future trends in the field of modeling UAV/RPAS communication channels and air networks are considered in the literature [1][2][3][4]. The review [1] is devoted to a comprehensive survey on UAV communication channel modeling.…”

Section: Introduction and Analysis Of Publicationsmentioning

confidence: 99%

“…Network programming, increasing the visibility of the network, and the network's ability to help eliminate security vulnerabilities in UAV networks were studied. The article [4] provides an overview of the latest achievements and the state of the art related to security vulnerabilities and countermeasures with SDN support. The paper [5] presents a new 3D system model to incorporate UAV users and proposes an analytical framework to characterize uplink/downlink coverage performance.…”

Section: Introduction and Analysis Of Publicationsmentioning

confidence: 99%

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Loss Estimation for Network-Connected UAV/RPAS Communications

Ilnytska

Grekhov

et al. 2020

IEEE Access

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The recent applications of Unmanned Aerial Vehicles (UAVs) and Remotely Piloted Air Systems (RPAS) often require reliable and fast two-way communications between UAVs, base stations and consumers using terrestrial cellular networks. Two crucial questions are whether existing ground networks can effectively interact with UAVs in three-dimensional space during intensive traffic and under what data transmission modes it is possible to provide the necessary Quality of Service (QoS). To answer this question, the UAV/RPAS communication channel model "BS-ATM-HUB-RPAS" with a ground network was designed and investigated. The dependencies of dropped packets, message Travel Time (TT) and HUB Average Utilization on the Transaction Size (TS), the link bandwidth, the Bit Error Rate (BER) and the Packet Fail Chance for different distribution laws of Time Between Transactions (TBT) were analyzed. A significant benefit has been observed in using the LogNormal TBT distribution law rather than the Const and Exponential TBT distributions for the dependencies of dropped packets versus TS, HUB Average Utilization versus TS, and HUB Average Utilization versus link bandwidth. However, for the dependency of message Travel Time on the Transaction Size, the type of TBT distribution did not play a significant role; for all distributions, with increasing transaction size, the time of their transmission via the channel was increased. The importance and usefulness of such a numerical analysis lies in the ability to set traffic parameters and observe the resulting throughput, packet loss, and number of bit errors and QoS in a channel under certain transmission modes.

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Section: Introduction and Analysis Of Publicationsmentioning

confidence: 99%

Section: Introduction and Analysis Of Publicationsmentioning

confidence: 99%

Loss Estimation for Network-Connected UAV/RPAS Communications

Ilnytska

Grekhov

et al. 2020

IEEE Access

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“…Several survey papers were published recently highlighting issues related to the security of UAVs such as, secure communication, intrusion detection, and security of the routing protocols used by UAVs [11], [16]- [19]. Most of these survey papers have discussed UAVs' security in a very sophisticated manner, However, to the best of our knowledge, only few of the existing survey papers have reflected upon the vulnerabilities of the UAVs' security protocols.…”

Section: Contributions Of This Surveymentioning

confidence: 99%

Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

2021

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With the rapid growth in technology, the use of Unmanned Aerial Vehicles (UAVs) have increased in civil and military applications including rescue operations, disaster recovery, and military operations. Despite the utility and advantages of UAVs, they may lead to major security breaches in the context of hardware, software, and communication channel, due their ease of use and availability. UAVs are vulnerable to various types of attacks such as spoofing, false data injection, jamming, fuzzing, availability, confidentiality, and integrity attacks. To overcome these security threats, researchers have been investigating strong security protocols to keep UAVs safe from the attackers. Nevertheless, there are many flaws in the developed protocols which can be exploited by hackers. Therefore, it is becomes crucial to study and analyze the existing security protocols used in UAVs to discover and address their vulnerabilities and weaknesses. The purpose of this study is to explore the vulnerabilities in the security protocols and propose guidelines to improve the security and provide future research directions.

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“…Integrating SDN in UAV networks is attractive due to the benefits and advantages provided by this technology [168]. The majority of approaches proposed in the literature consider UAVs as SDN switches on the data plane in order to exchange information in a distributed manner [169].…”

Section: E Motivations For Adopting Sdn In Uav Networkmentioning

confidence: 99%

Softwarization of UAV Networks: A Survey of Applications and Future Trends

et al. 2020

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Unmanned Aerial Vehicles (UAVs) have become increasingly important in assisting 5G and beyond 5G (B5G) mobile networks. Indeed, UAVs have all the potentials to both satisfy the ever-increasing mobile data demands of such mobile networks and provide ubiquitous connectivity to different kinds of wireless devices. However, the UAV assistance paradigm faces a set of crucial issues and challenges. For example, the network management of current UAV-assisted systems is time consuming, complicated, and carried out manually, thus causing a multitude of interoperability issues. To efficiently address all these issues, Software-Defined Network (SDN) and Network Function Virtualization (NFV) are two promising technologies to efficiently manage and improve the UAV assistance for the next generation of mobile networks. In the literature, no clear guidelines are describing the different use cases of SDN and NFV in the context of UAV assistance to terrestrial networks, including mobile networks. Motivated by this fact, in this survey, we guide the reader through a comprehensive discussion of the main characteristics of SDN and NFV technologies. Moreover, we provide a thorough analysis of the different classifications, use cases, and challenges related to UAV-assisted systems. We then discuss SDN/NFV-enabled UAV-assisted systems, along with several case studies and issues, such as the involvement of UAVs in cellular communications, monitoring, and routing, to name a few. We furthermore present a set of open research challenges, high-level insights, and future research directions related to UAV-assisted systems.

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Software-Defined Networking for Unmanned Aerial Vehicular Networking and Security: A Survey

Cited by 53 publications

References 65 publications

Loss Estimation for Network-Connected UAV/RPAS Communications

Loss Estimation for Network-Connected UAV/RPAS Communications

Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

Softwarization of UAV Networks: A Survey of Applications and Future Trends

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