ECC Based Lightweight Cybersecurity Solution For IoT Networks Utilising Multi-Access Mobile Edge Computing

Gyamfi, Eric; Ansere, James Adu; Xu, Lina

doi:10.1109/fmec.2019.8795315

Cited by 27 publications

(9 citation statements)

References 20 publications

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“…Gyamf, Ansere, and Xu [72] proposed an algorithm by improving ECC which is containing a lightweight ECC based on the Diffie-Hellman key exchange technique and Advanced Encryption Standard (AES). Two sets public and private keys are generated from ECC Standard curves constructed on the key size of 256-bits and 512bits.…”

Section: Hamzaab Et Al Developed Chaos-based Prngmentioning

confidence: 99%

Lightweight cryptography in IoT networks: A survey

Rana

Mamun

Islam

2022

Future Generation Computer Systems

100

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Section: Hamzaab Et Al Developed Chaos-based Prngmentioning

confidence: 99%

Lightweight cryptography in IoT networks: A survey

Rana

Mamun

Islam

2022

Future Generation Computer Systems

100

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“…For improving the speed of personality validation, they divided the blockchain network into three levels. ough BC innovation must require extensive use in edge-registration, this must overcome the shortcomings of perplexing network structure, high processing costs, sluggish confirmation speeds, or more of the same [52].…”

Section: Network Engineering Schemes At Are Not Part Of the Icnmentioning

confidence: 99%

“…Both protocols ensure that the information about the place is protected clearly. e convention's security is based on Paillier homomorphic encryption's semantic security [52].…”

Section: E State Of Privacy Protection In Edge Computingmentioning

confidence: 99%

“…Edge security and edge knowledge may be improved by a coordinated edge cloud effort. Edge cloud coordinated effort may also hold or even increase the advantages of edge registration when compared to distributed computing [52]. (iii) In edge cloud cooperative engineering, the coordinated effort model is a significant logical challenge.…”

Section: Edge-cloud Computing Security As a Future Development Directionmentioning

confidence: 99%

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The Future Development Direction of Cloud-Associated Edge-Computing Security in the Era of 5G as Edge Intelligence

Devi¹,

Webber

Mehbodniya

et al. 2022

Scientific Programming

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By introducing the Internet-of-Everything, new usage situations such as self-directed movement and vivid competitions constructed upon Virtual Reality or Augmented Reality expertise, besides the Industrial-Internet-of-Thing, accelerates the initial growth of edge-registering improvements. The global versatile correspondence business is now developing toward 5G. Edge processing has gotten a lot of attention around the globe as 5G is one of the major access enhancements to advance the huge scope organization of edge registration. Edge processing security has been a significant area of concern since the advent of edge registers, limiting its execution and enhancement. Edge figuring security has been greatly hampered by the innovative structures of edge-registering, the reconciliation with a huge number of innovations, the innovative usage conditions carried on through edge-processing, and common growing requirements aimed at safety insurance. This report examines the ebb and flow of examination anxiously registering security research. This article highlights the security issues of edge processing from five perspectives, including network access, key administration, protection assurance, assault mitigation, and irregularity identification, by breaking down the safety tests among edge-registering cutting-edge terms of innovative representations, and novel applications situations, as well as innovation conditions. The study separately discusses the scholastic community’s exploratory accomplishments among the applied domains, as well as the compensations for the drawbacks. In conclusion, the upcoming expansion track toward edge-computing safety has been conferred as well as projected, combining edge-cloud coordinated effort and edge intelligence.

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“…The increasing growth in interconnected devices, i.e., the Internet of Things (IoT), has set the stage for new information and communication technologies (ICT) developments [ 1 ]. Recently, multiple practical IoT applications and businesses have proliferated worldwide [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Resource Optimization for Energy-Efficient 6G-IoT Ecosystems

Ansere

Kamal

Khan

et al. 2023

Sensors

Self Cite

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The problem of energy optimization for Internet of Things (IoT) devices is crucial for two reasons. Firstly, IoT devices powered by renewable energy sources have limited energy resources. Secondly, the aggregate energy requirement for these small and low-powered devices is translated into significant energy consumption. Existing works show that a significant portion of an IoT device’s energy is consumed by the radio sub-system. With the emerging sixth generation (6G), energy efficiency is a major design criterion for significantly increasing the IoT network’s performance. To solve this issue, this paper focuses on maximizing the energy efficiency of the radio sub-system. In wireless communications, the channel plays a major role in determining energy requirements. Therefore, a mixed-integer nonlinear programming problem is formulated to jointly optimize power allocation, sub-channel allocation, user selection, and the activated remote radio units (RRUs) in a combinatorial approach according to the channel conditions. Although it is an NP-hard problem, the optimization problem is solved through fractional programming properties, converting it into an equivalent tractable and parametric form. The resulting problem is then solved optimally by using the Lagrangian decomposition method and an improved Kuhn–Munkres algorithm. The results show that the proposed technique significantly improves the energy efficiency of IoT systems as compared to the state-of-the-art work.

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ECC Based Lightweight Cybersecurity Solution For IoT Networks Utilising Multi-Access Mobile Edge Computing

Cited by 27 publications

References 20 publications

Lightweight cryptography in IoT networks: A survey

Lightweight cryptography in IoT networks: A survey

The Future Development Direction of Cloud-Associated Edge-Computing Security in the Era of 5G as Edge Intelligence

Dynamic Resource Optimization for Energy-Efficient 6G-IoT Ecosystems

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