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Hybrid state analysis with improved firefly optimized linear congestion models of WSNs for DDOS & CRA attacks
A decentralized form represents a wireless network that facilitates the computers to direct communication without any router. The mobility of individual nodes is necessary within the restricted radio spectrum where contact is often possible on an Adhoc basis. The routing protocol must face the criti...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802789/ https://www.ncbi.nlm.nih.gov/pubmed/35174266 http://dx.doi.org/10.7717/peerj-cs.845 |
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author | Basith, K Abdul Shankar, T.N. |
author_facet | Basith, K Abdul Shankar, T.N. |
author_sort | Basith, K Abdul |
collection | PubMed |
description | A decentralized form represents a wireless network that facilitates the computers to direct communication without any router. The mobility of individual nodes is necessary within the restricted radio spectrum where contact is often possible on an Adhoc basis. The routing protocol must face the critical situation in these networks forwarding exploration between communicating nodes may create the latency problem in the future. The assault is one of the issues has direct impact network efficiency by disseminating false messages or altering routing detail. Hence, an enhanced routing approach proposes to defend against such challenges. The efficiency of the designated model of wireless devices relies on various output parameters to ensure the requirements. The high energy efficient algorithms: LEACH with FUZZY LOGIC, GENETIC, and FIREFLY are the most effective in optimizing scenarios. The firefly algorithm applies in a model of hybrid state logic with energy parameters: data percentage, transmission rate, and real-time application where the architecture methodology needs to incorporate the design requirements for the attacks within the specified network environment, which can affect energy and packet distribution under various system parametric circumstances. These representations can determine with the statistical linear congestion model in a wireless sensor network mixed state environment. |
format | Online Article Text |
id | pubmed-8802789 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88027892022-02-15 Hybrid state analysis with improved firefly optimized linear congestion models of WSNs for DDOS & CRA attacks Basith, K Abdul Shankar, T.N. PeerJ Comput Sci Algorithms and Analysis of Algorithms A decentralized form represents a wireless network that facilitates the computers to direct communication without any router. The mobility of individual nodes is necessary within the restricted radio spectrum where contact is often possible on an Adhoc basis. The routing protocol must face the critical situation in these networks forwarding exploration between communicating nodes may create the latency problem in the future. The assault is one of the issues has direct impact network efficiency by disseminating false messages or altering routing detail. Hence, an enhanced routing approach proposes to defend against such challenges. The efficiency of the designated model of wireless devices relies on various output parameters to ensure the requirements. The high energy efficient algorithms: LEACH with FUZZY LOGIC, GENETIC, and FIREFLY are the most effective in optimizing scenarios. The firefly algorithm applies in a model of hybrid state logic with energy parameters: data percentage, transmission rate, and real-time application where the architecture methodology needs to incorporate the design requirements for the attacks within the specified network environment, which can affect energy and packet distribution under various system parametric circumstances. These representations can determine with the statistical linear congestion model in a wireless sensor network mixed state environment. PeerJ Inc. 2022-01-27 /pmc/articles/PMC8802789/ /pubmed/35174266 http://dx.doi.org/10.7717/peerj-cs.845 Text en ©2022 Basith and Shankar https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
spellingShingle | Algorithms and Analysis of Algorithms Basith, K Abdul Shankar, T.N. Hybrid state analysis with improved firefly optimized linear congestion models of WSNs for DDOS & CRA attacks |
title | Hybrid state analysis with improved firefly optimized linear congestion models of WSNs for DDOS & CRA attacks |
title_full | Hybrid state analysis with improved firefly optimized linear congestion models of WSNs for DDOS & CRA attacks |
title_fullStr | Hybrid state analysis with improved firefly optimized linear congestion models of WSNs for DDOS & CRA attacks |
title_full_unstemmed | Hybrid state analysis with improved firefly optimized linear congestion models of WSNs for DDOS & CRA attacks |
title_short | Hybrid state analysis with improved firefly optimized linear congestion models of WSNs for DDOS & CRA attacks |
title_sort | hybrid state analysis with improved firefly optimized linear congestion models of wsns for ddos & cra attacks |
topic | Algorithms and Analysis of Algorithms |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802789/ https://www.ncbi.nlm.nih.gov/pubmed/35174266 http://dx.doi.org/10.7717/peerj-cs.845 |
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