An Intelligent Buffalo-Based Secure Edge-Enabled Computing Platform for Heterogeneous IoT Network in Smart Cities

The Internet of Things (IoT) based smart city applications are the latest technology-driven solutions designed to collect and analyze data to enhance the quality of life for urban residents by creating more sustainable, efficient, and connected communities. Communication nodes are networked independ...

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Veröffentlicht in:IEEE access 2023, Vol.11, p.69282-69294
Hauptverfasser: Irshad, Reyazur Rashid, Hussain, Shahid, Hussain, Ihtisham, Ahmad, Ibrar, Yousif, Adil, Alwayle, Ibrahim M., Alattab, Ahmed Abdu, Alalayah, Khaled M., Breslin, John G., Badr, Mohammed Mehdi, Rodrigues, Joel J. P. C.
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container_title IEEE access
container_volume 11
creator Irshad, Reyazur Rashid
Hussain, Shahid
Hussain, Ihtisham
Ahmad, Ibrar
Yousif, Adil
Alwayle, Ibrahim M.
Alattab, Ahmed Abdu
Alalayah, Khaled M.
Breslin, John G.
Badr, Mohammed Mehdi
Rodrigues, Joel J. P. C.
description The Internet of Things (IoT) based smart city applications are the latest technology-driven solutions designed to collect and analyze data to enhance the quality of life for urban residents by creating more sustainable, efficient, and connected communities. Communication nodes are networked independently to monitor the circumstances, where they require being more energy-efficient and securing, to improve the performance of sustainable cities. Because, the enormous number of networked devices makes the smart cities application vulnerable to many security breaches, all of which have serious ramifications for a city and its residents' safety, well-being, and economic development. Low-powered sensors have limitations in terms of battery life, short transmission range, and security considerations, despite the fact that the combination of edge computing and Green IoT considerably enhances network performance in terms of processing and data storage. Consequently, it is necessary to implement an advanced approach to provide energy resources with secure data transmission for sustainable cities. Therefore, this research proposes an Intelligent Buffalo-based Secure Edge-enabled Computing (IB-SEC) framework for smart cities by IoT platform, which aims to enhance communication efficiency, and reliability, with minimizing latency in terms of energy consumption and data security for data transmission. The developed IB-SEC platform utilizes a combination of the African Buffalo Optimization (ABO) algorithm and a Distributed Hash function-based security algorithm to enhance the efficiency, security, and reliability of data transmission in IoT-based smart city networks. This platform leverages the capabilities of secure edge computing and MAC protocols to achieve its goals, by implementing encryption, authentication, and access control mechanisms that ensure the wireless communication is secure, and the data is protected against unauthorized access. Overall, the IB-SEC framework provides an advanced approach to secure IoT networks and enable smart city applications. Moreover, the developed platform enables the integration of heterogeneous edge devices, sensors, and systems which is effectively managed and adapted by Median Access Control (MAC) protocols. The IB-SEC is implemented in MATLAB and validated through cutting-edge security algorithms in terms of improved security, reliability, throughput, and reduced latency and energy consumption.
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Low-powered sensors have limitations in terms of battery life, short transmission range, and security considerations, despite the fact that the combination of edge computing and Green IoT considerably enhances network performance in terms of processing and data storage. Consequently, it is necessary to implement an advanced approach to provide energy resources with secure data transmission for sustainable cities. Therefore, this research proposes an Intelligent Buffalo-based Secure Edge-enabled Computing (IB-SEC) framework for smart cities by IoT platform, which aims to enhance communication efficiency, and reliability, with minimizing latency in terms of energy consumption and data security for data transmission. The developed IB-SEC platform utilizes a combination of the African Buffalo Optimization (ABO) algorithm and a Distributed Hash function-based security algorithm to enhance the efficiency, security, and reliability of data transmission in IoT-based smart city networks. 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P. C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Intelligent Buffalo-Based Secure Edge-Enabled Computing Platform for Heterogeneous IoT Network in Smart Cities</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2023</date><risdate>2023</risdate><volume>11</volume><spage>69282</spage><epage>69294</epage><pages>69282-69294</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>The Internet of Things (IoT) based smart city applications are the latest technology-driven solutions designed to collect and analyze data to enhance the quality of life for urban residents by creating more sustainable, efficient, and connected communities. Communication nodes are networked independently to monitor the circumstances, where they require being more energy-efficient and securing, to improve the performance of sustainable cities. 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subjects Access control
African buffalo algorithm
Communication
Cybersecurity
Data communication
Data storage
Data transmission
Economic development
Edge computing
Energy consumption
Energy sources
Hash based algorithms
heterogeneous
Internet of Things
Media Access Protocol
Network latency
Optimization
Performance enhancement
Protocols
Reliability
secure edge enabled computing
Security
Sensors
Smart cities
smart city
System effectiveness
Wireless communications
title An Intelligent Buffalo-Based Secure Edge-Enabled Computing Platform for Heterogeneous IoT Network in Smart Cities
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