Connectivity Management in Drone Networks

Cabuk, Umut Can; Tosun, Mustafa; Akram, Vahid Khalilpour; Dağdeviren, Orhan

doi:10.4018/978-1-7998-4963-6.ch006

Cited by 4 publications

(3 citation statements)

References 40 publications

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“…For example, the drones may proceed to a predefined rendezvous point or a previous checkpoint to escape from the trap. More of such strategies on connectivity restoration can be found in [35]- [38]. As a fine-tuned variant, some availability attacks solely draw a bead on nodes with critical functionalities by detecting them via means of traffic analysis; however, this is rarely feasible in highly mobile networks.…”

Section: ) Availability Attacksmentioning

confidence: 99%

“…Content may change prior to final publication. connectivity restoration solutions can be applied (as in [35]- [38]), the authentication protocol can be initiated once the drones recover from the attack. On the other hand, flooding replayed, counterfeit or void authentication messages aim at the availability of the network on higher layers.…”

Section: ) Denial Of Servicementioning

confidence: 99%

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CoMAD: Context-Aware Mutual Authentication Protocol for Drone Networks

2021

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Drone technology is developing very rapidly. Flying devices accomplishing various applications are becoming an integral part of our daily life undoubtedly. Drones are characterized by extreme mobility, decent computing power, scalability, and a very short lifetime due to energy constraints. The rise of drones inevitably enabled swarms and drone networking applications. Drone networks is a pathbreaking subclass of flying ad-hoc networks with unique capabilities and specific requirements. One very important challenge with swarms is the device authentication problem, in other words, proving the identity of a single or a group of drones that request to join the swarm. In this paper, we tackle this emerging problem and propose a novel context-aware mutual authentication protocol. The proposed protocol provides authentication for groups of drones and supports recovering a swarm in case of network separation. Likewise, the protocol can handle drone joins and leaves. Moreover, the protocol is not dependent on network infrastructure, secure storage, and secure channels. We tested the protocol using an automated formal security protocol verification tool, called Scyther. The tests resulted in the complete verification of the authentication and secrecy claims for arbitrary network instances and all defined use-cases. The protocol is also shown to have proven performance advantages over the existing schemes.INDEX TERMS Authentication, drone networks, security, swarms, wireless ad-hoc networks.

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Section: ) Availability Attacksmentioning

confidence: 99%

Section: ) Denial Of Servicementioning

confidence: 99%

CoMAD: Context-Aware Mutual Authentication Protocol for Drone Networks

2021

Self Cite

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“…The large and dense canopy of oil palm trees can sometimes affect the connectivity of drone signals. [8].…”

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confidence: 99%

Identifying The Potential Sources of Chemical Elements in Drainage and Rivers Using Google Earth Imageries and Posteriori Knowledge

Awang¹,

Mahmud²,

Ting³

et al. 2022

IJIE

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This study attempts to identify the potential sources of the chemical elements in the river and drainage water using in-situ water quality sampling and public domain satellite data. Monitoring the physico-chemicallevel of urban streams and rivers is important to secure sufficient water resources, an indicator to the ecological degradation in urban areas and an indicator of environmental pollution. Nonetheless, identifying the potential sources of chemical pollutants by field observation is constrained by hard labor activities, time, and cost. Having satellite imagery that provides land use activity information would be useful in determining the chemical sources. Therefore, the objective of this paper is to utilize the publicly accessible Google satellite images in identifying the potential sources of the chemical elements' presence in the water that is physically sampled and measured over the selected urban rivers and drainage of Johor Bahru. Three chemical elements were identified, ammonia (NH3), nitrate (NO3-), and phosphate (PO43-). The identification of the chemical sources is conducted based on the interpretation of the satellite-derived information together with the posteriori knowledge, experience, and inputs in an environmental chemistry perspective. The findings revealed that the proportion of land used did not always have a significant impact on the chemical content of the waterways. For ammonia, areas with significant hotspots (aquaculture, wet market) are more significant, although the size of the area is not dominant. The nitrate content, on the other hand, showed quite a distinct pattern linked to oil palm, intensive farming, and industrial or commercial areas. There was no distinct land use pattern associated with phosphatelevel. However, locations with high residential areas were likely to have high phosphate content in their respective waterways or drainage to the onsite investigations with minimal labor works, cost effective, and time efficient.

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Smart Micro-Lecture Online Application System for Mental Health Guiding Course based on HarmonyOS Considering Video Information Transmission Algorithms

Zhang²

2022

2022 6th International Conference on Trends in Electronics and Informatics (ICOEI)

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Connectivity Management in Drone Networks

Cited by 4 publications

References 40 publications

CoMAD: Context-Aware Mutual Authentication Protocol for Drone Networks

CoMAD: Context-Aware Mutual Authentication Protocol for Drone Networks

Identifying The Potential Sources of Chemical Elements in Drainage and Rivers Using Google Earth Imageries and Posteriori Knowledge

Smart Micro-Lecture Online Application System for Mental Health Guiding Course based on HarmonyOS Considering Video Information Transmission Algorithms

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