SecAuthUAV: A Novel Authentication Scheme for UAV-Ground Station and UAV-UAV Communication

Alladi, Tejasvi; Naren,; Bansal, Gaurang; Chamola, Vinay; Guizani, Mohsen

doi:10.1109/tvt.2020.3033060

Cited by 202 publications

(81 citation statements)

References 40 publications

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“…The communication of the Covidrones with the central medical facility should be secure. Specifically, this communication must satisfy the following features: mutual authentication, data integrity, confidentiality, and identity privacy [15]. Additionally, since the Covidrone would operate mainly in remote areas, there is a risk of being captured physically or taken control of by people/groups with malicious intent.…”

Section: To Design and Implement Drone Path Planning And Operational Management While Considering Parameters Like Strategic Location Planmentioning

confidence: 99%

IoMT and DNN-Enabled Drone-Assisted Covid-19 Screening and Detection Framework for Rural Areas

Naren

Chamola

Baitragunta

et al. 2021

IEEE Internet Things M.

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Section: To Design and Implement Drone Path Planning And Operational Management While Considering Parameters Like Strategic Location Planmentioning

confidence: 99%

IoMT and DNN-Enabled Drone-Assisted Covid-19 Screening and Detection Framework for Rural Areas

Naren

Chamola

Baitragunta

et al. 2021

IEEE Internet Things M.

Self Cite

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“…In this subsection, we will discuss the normalized coverage with respect to different IoD sizes in both sparse and dense scenarios. The IoD size (different sets of UAVs in IoD) implemented are (2,4,6,8,10,12,14,16,18, and 20 UAVs) with transmission power of 50mW. The simulation result is illustrated in Fig.…”

Section: B Impact Of Iod Size On Vanet Connectivity and Rssimentioning

confidence: 99%

“…Due to their unique features such as agility, mobility, and flexibility, UAVs offer high freedom of movement that allows UAVs to navigate remote and rough areas that humans can not access. The Internet of Drones (IoD) term is an integration of drones into a network of IoT [10] and defined as a layered network control architecture designed mainly to coordinate UAVs' access to control airspace and provide navigation services between locations known as nodes [11]. In these applications, IoD can support an efficient mean not only to enhance traffic policy in the ground and enforce traffic rule, but also to provide efficient information dissemination to the ground users.…”

Section: Introductionmentioning

confidence: 99%

A Novel Collaborative IoD-Assisted VANET Approach for Coverage Area Maximization

et al. 2021

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Internet of Drones (IoD) is an efficient technique that can be integrated with vehicular adhoc networks (VANETs) to provide terrestrial communications by acting as an aerial relay when terrestrial infrastructure is unreliable or unavailable. To fully exploit the drones' flexibility and superiority, we propose a novel dynamic IoD collaborative communication approach for urban VANETs. Unlike most of the existing approaches, the IoD nodes are dynamically deployed based on current locations of ground vehicles to effectively mitigate inevitable isolated cars in conventional VANETs. For efficiently coordinating IoD, we model IoD to optimize coverage based on the location of vehicles. The goal is to obtain an efficient IoD deployment to maximize the number of covered vehicles, i.e., minimize the number of isolated vehicles in the target area. More importantly, the proposed approach provides sufficient interconnections between IoD nodes. To do so, an improved version of succinct population-based meta-heuristic, namely Improved Particle Swarm Optimization (IPSO) inspired by food searching behavior of birds or fishes flock, is implemented for IoD assisted VANET (IoDAV). Moreover, the coverage, received signal quality, and IoD connectivity are achieved by IPSO's objective function for optimal IoD deployment at the same time. We carry out an extensive experiment based on the received signal at floating vehicles to examine the proposed IoDAV performance. We compare the results with the baseline VANET with no IoD (NIoD) and Fixed IoD assisted (FIoD). The comparisons are based on the coverage percentage of the ground vehicles and the quality of the received signal. The simulation results demonstrate that the proposed IoDAV approach allows finding the optimal IoD positions throughout the time based on the vehicle's movements and achieves better coverage and better quality of the received signal by finding the most appropriate IoD position compared with NIoD and FIoD schemes.

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“…As UAVs become more connected they naturally inherit from the security privacy and data protection challenges in IoT. Over the recent years, these challenges have been continuously addressed in scientific literature [96]- [100]. The authors in [96] present a summary of some of the main UAV privacy and security threats, illustrated in Figure 6.…”

Section: Security Data Protection and Privacy Challengesmentioning

confidence: 99%

“…According to [127], one of the first proposals for a UTM construct -"Internet of Drones" [128] -emphasised the importance of such interdisciplinary approaches by combining best practices in air traffic control networks, cellular networks as well as the internet to devising one of the first UTM constructs in scientific literature. Since then we have witnessed a clear interest in such holistic research as seen in [5], [102], [127], [129]- [136] on UTM systems, in addition to domain-specific research on airspace design in [101], [111], [113]- [120], collision avoidance and risk mitigation in [103]- [106], [137]- [146] and communication and cybersecurity in [96]- [100], [147]- [159] as summarised below in Table 2.…”

Section: Uav Traffic Managementmentioning

confidence: 99%

The Rise of Drones in Internet of Things: A Survey on the Evolution, Prospects and Challenges of Unmanned Aerial Vehicles

et al. 2021

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The recent years have seen a rise in the incorporation and integration of new smart connected devices and platforms such as Unmanned Aerial Vehicles (UAVs) to the ubiquitous network of Internet of Things (IoT). UAVs not only offer new means of delivering value-added IoT services through a wide range of applications ranging from monitoring and surveillance to on-demand last-mile delivery and people transport, but they also promise a pragmatic solution to the limitations of fixed terrestrial IoT infrastructure. Owning to their potential, UAVs are expected to soon be an integral part of our cities, dominating the shared low-altitude airspace. This introduces new research challenges in privacy, security and most notably in the safe management of UAVs operation under high traffic demands. To this end, this work presents a holistic study on the current state-of-the-art of UAVs and low-altitude airspace traffic management. This work additionally explores the technical standardisation landscape and highlights synergies between scientific research and standardisation efforts towards enabling safe UAV operations while taking into consideration additional IoT inherent challenges such as security, data protection and privacy.INDEX TERMS Internet of Things; traffic management; autonomous unmanned aerial vehicles; lowaltitude airspace; security; privacy; technical standardisation

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SecAuthUAV: A Novel Authentication Scheme for UAV-Ground Station and UAV-UAV Communication

Cited by 202 publications

References 40 publications

IoMT and DNN-Enabled Drone-Assisted Covid-19 Screening and Detection Framework for Rural Areas

IoMT and DNN-Enabled Drone-Assisted Covid-19 Screening and Detection Framework for Rural Areas

A Novel Collaborative IoD-Assisted VANET Approach for Coverage Area Maximization

The Rise of Drones in Internet of Things: A Survey on the Evolution, Prospects and Challenges of Unmanned Aerial Vehicles

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