Secure Rate Control and Statistical QoS Provisioning for Cloud-Based IoT Networks

The Internet of Things (IoT) facilitates physical things to detect, interact, and execute activities on-demand, enabling a variety of applications such as smart homes and smart cities. However, it also creates many potential risks related to data security and privacy vulnerabilities on the physical...

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Autores principales:	Irfan Muhammad, Hirley Alves, Onel Alcaraz López, Matti Latva-aho
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology (General) T1-995 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/e32df4149bd342e296ab55f2285e7fac
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spelling	oai:doaj.org-article:e32df4149bd342e296ab55f2285e7fac2021-11-08T02:36:06ZSecure Rate Control and Statistical QoS Provisioning for Cloud-Based IoT Networks1939-012210.1155/2021/8650272https://doaj.org/article/e32df4149bd342e296ab55f2285e7fac2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8650272https://doaj.org/toc/1939-0122The Internet of Things (IoT) facilitates physical things to detect, interact, and execute activities on-demand, enabling a variety of applications such as smart homes and smart cities. However, it also creates many potential risks related to data security and privacy vulnerabilities on the physical layer of cloud-based Internet of Things (IoT) networks. These can include different types of physical attacks such as interference, eavesdropping, and jamming. As a result, quality-of-service (QoS) provisioning gets difficult for cloud-based IoT. This paper investigates the statistical QoS provisioning of a four-node cloud-based IoT network under security, reliability, and latency constraints by relying on the effective capacity model to offer enhanced QoS for IoT networks. Alice and Bob are legitimate nodes trying to communicate with secrecy in the considered scenario, while an eavesdropper Eve overhears their communication. Meanwhile, a friendly jammer, which emits artificial noise, is used to degrade the wiretap channel. By taking advantage of their multiple antennas, Alice implements transmit antenna selection, while Bob and Eve perform maximum-ratio combining. We further assume that Bob decodes the artificial noise perfectly and thus removes its contribution by implementing perfect successive interference cancellation. A closed-form expression for an alternative formulation of the outage probability, conditioned upon the successful transmission of a message, is obtained by considering adaptive rate allocation in an ON-OFF transmission. The data arriving at Alice’s buffer are modeled by considering four different Markov sources to describe different IoT traffic patterns. Then, the problem of secure throughput maximization is addressed through particle swarm optimization by considering the security, latency, and reliability constraints. Our results evidence the considerable improvements on the delay violation probability by increasing the number of antennas at Bob under strict buffer constraints.Irfan MuhammadHirley AlvesOnel Alcaraz LópezMatti Latva-ahoHindawi-WileyarticleTechnology (General)T1-995Science (General)Q1-390ENSecurity and Communication Networks, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology (General) T1-995 Science (General) Q1-390
spellingShingle	Technology (General) T1-995 Science (General) Q1-390 Irfan Muhammad Hirley Alves Onel Alcaraz López Matti Latva-aho Secure Rate Control and Statistical QoS Provisioning for Cloud-Based IoT Networks
description	The Internet of Things (IoT) facilitates physical things to detect, interact, and execute activities on-demand, enabling a variety of applications such as smart homes and smart cities. However, it also creates many potential risks related to data security and privacy vulnerabilities on the physical layer of cloud-based Internet of Things (IoT) networks. These can include different types of physical attacks such as interference, eavesdropping, and jamming. As a result, quality-of-service (QoS) provisioning gets difficult for cloud-based IoT. This paper investigates the statistical QoS provisioning of a four-node cloud-based IoT network under security, reliability, and latency constraints by relying on the effective capacity model to offer enhanced QoS for IoT networks. Alice and Bob are legitimate nodes trying to communicate with secrecy in the considered scenario, while an eavesdropper Eve overhears their communication. Meanwhile, a friendly jammer, which emits artificial noise, is used to degrade the wiretap channel. By taking advantage of their multiple antennas, Alice implements transmit antenna selection, while Bob and Eve perform maximum-ratio combining. We further assume that Bob decodes the artificial noise perfectly and thus removes its contribution by implementing perfect successive interference cancellation. A closed-form expression for an alternative formulation of the outage probability, conditioned upon the successful transmission of a message, is obtained by considering adaptive rate allocation in an ON-OFF transmission. The data arriving at Alice’s buffer are modeled by considering four different Markov sources to describe different IoT traffic patterns. Then, the problem of secure throughput maximization is addressed through particle swarm optimization by considering the security, latency, and reliability constraints. Our results evidence the considerable improvements on the delay violation probability by increasing the number of antennas at Bob under strict buffer constraints.
format	article
author	Irfan Muhammad Hirley Alves Onel Alcaraz López Matti Latva-aho
author_facet	Irfan Muhammad Hirley Alves Onel Alcaraz López Matti Latva-aho
author_sort	Irfan Muhammad
title	Secure Rate Control and Statistical QoS Provisioning for Cloud-Based IoT Networks
title_short	Secure Rate Control and Statistical QoS Provisioning for Cloud-Based IoT Networks
title_full	Secure Rate Control and Statistical QoS Provisioning for Cloud-Based IoT Networks
title_fullStr	Secure Rate Control and Statistical QoS Provisioning for Cloud-Based IoT Networks
title_full_unstemmed	Secure Rate Control and Statistical QoS Provisioning for Cloud-Based IoT Networks
title_sort	secure rate control and statistical qos provisioning for cloud-based iot networks
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/e32df4149bd342e296ab55f2285e7fac
work_keys_str_mv	AT irfanmuhammad secureratecontrolandstatisticalqosprovisioningforcloudbasediotnetworks AT hirleyalves secureratecontrolandstatisticalqosprovisioningforcloudbasediotnetworks AT onelalcarazlopez secureratecontrolandstatisticalqosprovisioningforcloudbasediotnetworks AT mattilatvaaho secureratecontrolandstatisticalqosprovisioningforcloudbasediotnetworks
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Secure Rate Control and Statistical QoS Provisioning for Cloud-Based IoT Networks

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