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The Framework for Simulation of Bioinspired Security Mechanisms against Network Infrastructure Attacks
The paper outlines a bioinspired approach named “network nervous system" and methods of simulation of infrastructure attacks and protection mechanisms based on this approach. The protection mechanisms based on this approach consist of distributed prosedures of information collection and process...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4165379/ https://www.ncbi.nlm.nih.gov/pubmed/25254229 http://dx.doi.org/10.1155/2014/172583 |
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author | Shorov, Andrey Kotenko, Igor |
author_facet | Shorov, Andrey Kotenko, Igor |
author_sort | Shorov, Andrey |
collection | PubMed |
description | The paper outlines a bioinspired approach named “network nervous system" and methods of simulation of infrastructure attacks and protection mechanisms based on this approach. The protection mechanisms based on this approach consist of distributed prosedures of information collection and processing, which coordinate the activities of the main devices of a computer network, identify attacks, and determine nessesary countermeasures. Attacks and protection mechanisms are specified as structural models using a set-theoretic approach. An environment for simulation of protection mechanisms based on the biological metaphor is considered; the experiments demonstrating the effectiveness of the protection mechanisms are described. |
format | Online Article Text |
id | pubmed-4165379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-41653792014-09-24 The Framework for Simulation of Bioinspired Security Mechanisms against Network Infrastructure Attacks Shorov, Andrey Kotenko, Igor ScientificWorldJournal Research Article The paper outlines a bioinspired approach named “network nervous system" and methods of simulation of infrastructure attacks and protection mechanisms based on this approach. The protection mechanisms based on this approach consist of distributed prosedures of information collection and processing, which coordinate the activities of the main devices of a computer network, identify attacks, and determine nessesary countermeasures. Attacks and protection mechanisms are specified as structural models using a set-theoretic approach. An environment for simulation of protection mechanisms based on the biological metaphor is considered; the experiments demonstrating the effectiveness of the protection mechanisms are described. Hindawi Publishing Corporation 2014 2014-08-31 /pmc/articles/PMC4165379/ /pubmed/25254229 http://dx.doi.org/10.1155/2014/172583 Text en Copyright © 2014 A. Shorov and I. Kotenko. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Shorov, Andrey Kotenko, Igor The Framework for Simulation of Bioinspired Security Mechanisms against Network Infrastructure Attacks |
title | The Framework for Simulation of Bioinspired Security Mechanisms against Network Infrastructure Attacks |
title_full | The Framework for Simulation of Bioinspired Security Mechanisms against Network Infrastructure Attacks |
title_fullStr | The Framework for Simulation of Bioinspired Security Mechanisms against Network Infrastructure Attacks |
title_full_unstemmed | The Framework for Simulation of Bioinspired Security Mechanisms against Network Infrastructure Attacks |
title_short | The Framework for Simulation of Bioinspired Security Mechanisms against Network Infrastructure Attacks |
title_sort | framework for simulation of bioinspired security mechanisms against network infrastructure attacks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4165379/ https://www.ncbi.nlm.nih.gov/pubmed/25254229 http://dx.doi.org/10.1155/2014/172583 |
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