Enhanced Active Eavesdroppers Detection System for Multihop WSNs in Tactical IoT Applications

Abedini, Masih; Al-Anbagi, Irfan

doi:10.1109/jiot.2023.3313048

Cited by 3 publications

(1 citation statement)

References 53 publications

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“…From (3) and ( 4), the signal-to-noise-ratios (SNRs) at the m receiver and e-th eavesdropper are given as [29]…”

Section: Signal-to-noise-ratio (Snr) At Receiversmentioning

confidence: 99%

On the Performance of the Relay Selection in Multi-hop Cluster-based Wireless Networks with Multiple Eavesdroppers Under Equally Correlated Rayleigh Fading

Minh Nam,

Ngo Dinh,

Luong Nhat

et al. 2024

EAI Endorsed Trans Ind Net Intel Syst

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The performance of multi-hop cluster-based wireless networks under multiple eavesdroppers is investigated in the present work. More precisely, we derive the outage probability (OP) of the considered networks under two relay selection schemes: the channel-gain-based scheme and the random scheme. Although equally correlated Rayleigh fading is taken into consideration, the derived mathematical framework remains tractable. Specifically, we represent the exact expression of the OP under the channel-based scheme in series form, while the OP under the random scheme is computed in a closed-form expression. Additionally, we propose a novel power allocation for each transmitter that strictly satisfies the given intercept probability. Numerical results based on the Monte Carlo method are provided to verify the correctness of the derived framework. These results are also used to identify the influences of various parameters, such as the number of clusters, the number of relays per cluster, and the transmit power.

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“…From (3) and ( 4), the signal-to-noise-ratios (SNRs) at the m receiver and e-th eavesdropper are given as [29]…”

Section: Signal-to-noise-ratio (Snr) At Receiversmentioning

confidence: 99%

On the Performance of the Relay Selection in Multi-hop Cluster-based Wireless Networks with Multiple Eavesdroppers Under Equally Correlated Rayleigh Fading

Minh Nam,

Ngo Dinh,

Luong Nhat

et al. 2024

EAI Endorsed Trans Ind Net Intel Syst

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Future Trends and Emerging Threats in Drone Cybersecurity

Sindiramutty,

Jhanjhi,

Tan

et al. 2024

Advances in Information Security, Privacy, and Ethics

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The rapid proliferation of drone technology has ushered in a new era of innovation and convenience across various industries. However, this technological advancement has also given rise to a host of cybersecurity challenges that demand proactive attention. This chapter delves into the dynamic landscape of drone security, exploring the evolving trends and emerging threats that shape this field. Beginning with an overview of drone technology advancements, including the integration of artificial intelligence and machine learning, this chapter examines their implications for cybersecurity. It then scrutinizes the growing influence of drone swarms and autonomous operations, pinpointing the associated cybersecurity challenges and strategies for securing these systems. The chapter explores the expansion of drone operations beyond visual line of sight (BVLOS) and the cybersecurity risks involved, emphasizing the importance of secure communications and legal considerations.

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Communication Systems for Drone Swarms and Remote Operations

Katna,

Singh,

Kumar

et al. 2025

Advances in Computational Intelligence and Robotics

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The world is progressively moving towards the smart city concept. Drones are central to this movement. Hence, this research on communication systems for drone swarms is imperative to enhance the operational efficiency and autonomy of unmanned aerial vehicles (UAVs). Alongside, it addresses the unique challenges posed by dynamic network topologies, limited bandwidth, and ensuring seamless collaboration in diverse applications. This study examines the complex domain of communication systems for drone swarms and remote operations. Issues such as bandwidth constraints and changing network configurations are assessed with a focus on innovative technologies like AI-powered decision-making, blockchain security, and edge computing. The assessment looks at the effects of specialized signal processing methods on swarm performance. Case studies authenticate these strategies' efficacy while offering vital real-world insights. Further, this study assists those in the field by guiding them through the challenges associated with drone swarm technology.

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Enhanced Active Eavesdroppers Detection System for Multihop WSNs in Tactical IoT Applications

Cited by 3 publications

References 53 publications

On the Performance of the Relay Selection in Multi-hop Cluster-based Wireless Networks with Multiple Eavesdroppers Under Equally Correlated Rayleigh Fading

On the Performance of the Relay Selection in Multi-hop Cluster-based Wireless Networks with Multiple Eavesdroppers Under Equally Correlated Rayleigh Fading

Future Trends and Emerging Threats in Drone Cybersecurity

Communication Systems for Drone Swarms and Remote Operations

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