TD-RA policy-enforcement framework for an SDN-based IoT architecture

Lahlou, Sara; Moukafih, Youness; Sebbar, Anass; Zkik, Karim; Boulmalf, Mohammed; Ghogho, Mounir

doi:10.1016/j.jnca.2022.103390

Cited by 8 publications

(2 citation statements)

References 34 publications

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“…The authors detect and reduce the impacts of attacks in the IoT environment by using SDNs. In this article [94], the authors have presented an architecture to be used in SDNbased IOTs to prevent unusual traffic. The authors in [95] have considered traffic management in an IoT environment.…”

Section: E Other Issues In Privacy and Security Of Sdn-iotmentioning

confidence: 99%

Privacy-Preserving and Security in SDN-Based IoT: A Survey

et al. 2023

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In recent years, the use of Software Defined Networking (SDN) has increased due to various network management requirements. Using SDN in computer network applications has brought several benefits to users, including lower operational costs, better hardware management, flexibility, and centralized network deployment. On the other hand, the Internet of Things (IoT) is another rapidly growing technology. Distributed and dynamic infrastructures are two critical characteristics of IoT. These characteristics lead to some challenges while using SDN in IoT in terms of security and privacy. In this paper, we address security and privacy issues and solutions for SDN-based IoT systems. We analyze the techniques used for defense in previous works to achieve an acceptable level of security and privacy protection in SDN-based IoT systems. In the data plane, SDN-based IoT papers have considered hashing and encryption techniques, in the control plane, certificate authority and access control have been analyzed, and in the application plane, attack detection, and authentication have been discussed. We also provide a statistical analysis of the existing work. This analysis shows that researchers have focused on certain areas more than others in recent years. The final analysis also highlights issues that previous researchers have ignored.

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Section: E Other Issues In Privacy and Security Of Sdn-iotmentioning

confidence: 99%

Privacy-Preserving and Security in SDN-Based IoT: A Survey

et al. 2023

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“…The goal of this propose system is to create an IOT-based forest fire detection system that will identify the fire and transmit an emergency instantaneous notice to the authorities by the system integrated sensor components. Deploying a wireless sensor network in forest fire prevention is identification and execution of the quick solutions to mitigate social harm of the forest [2,3].…”

Section: Introductionmentioning

confidence: 99%

A Design and Development of the Smart Forest Alert Monitoring System Using IoT

Krishnamoorthy¹,

Asif²,

Kumar³

et al. 2023

Journal of Sensors

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Forest is one of the main sources of living organisms. Its needs start from the human breath to usage of the wood. But due to many reasons, area occupied by the forest is reducing every year. The reasons behind these environmental impacts are natural disasters (forest fires), deforestation activities, and unlawful actions. Forest fire could be creating most serious threat to wild animals and resources of human welfares. The primary phenomenon of the wild fire occurrence is circumstance hotness of the forest. The dry and hot atmosphere caused the fire in the forest. The deforestation and smuggling activities are also tridents to the available forest. The main consideration of this article is to detect wildfires in advance and protect forest resources from social crimes through advanced sensor integration in the IoT (Internet of Things) environment. A smart forest alert monitoring system has been proposed in this article to avoid forest mishap over by automated self-decision-making protective actions such as parameter measures and alert and implementing the harm mitigation actions related to the hot temperature, humidity, smoke, and smuggling of trees. All the sensors work as per the algorithm designed by the specific application of IoT (Internet of Things). The accurate predictions of the forest fire events and ensuring the forest safety have been tested and verified by a conducted case study on the real forest zone environment.

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