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Multivariable Heuristic Approach to Intrusion Detection in Network Environments
The Internet is an inseparable part of our contemporary lives. This means that protection against threats and attacks is crucial for major companies and for individual users. There is a demand for the ongoing development of methods for ensuring security in cyberspace. A crucial cybersecurity solutio...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234388/ https://www.ncbi.nlm.nih.gov/pubmed/34205238 http://dx.doi.org/10.3390/e23060776 |
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author | Niemiec, Marcin Kościej, Rafał Gdowski, Bartłomiej |
author_facet | Niemiec, Marcin Kościej, Rafał Gdowski, Bartłomiej |
author_sort | Niemiec, Marcin |
collection | PubMed |
description | The Internet is an inseparable part of our contemporary lives. This means that protection against threats and attacks is crucial for major companies and for individual users. There is a demand for the ongoing development of methods for ensuring security in cyberspace. A crucial cybersecurity solution is intrusion detection systems, which detect attacks in network environments and responds appropriately. This article presents a new multivariable heuristic intrusion detection algorithm based on different types of flags and values of entropy. The data is shared by organisations to help increase the effectiveness of intrusion detection. The authors also propose default values for parameters of a heuristic algorithm and values regarding detection thresholds. This solution has been implemented in a well-known, open-source system and verified with a series of tests. Additionally, the authors investigated how updating the variables affects the intrusion detection process. The results confirmed the effectiveness of the proposed approach and heuristic algorithm. |
format | Online Article Text |
id | pubmed-8234388 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82343882021-06-27 Multivariable Heuristic Approach to Intrusion Detection in Network Environments Niemiec, Marcin Kościej, Rafał Gdowski, Bartłomiej Entropy (Basel) Article The Internet is an inseparable part of our contemporary lives. This means that protection against threats and attacks is crucial for major companies and for individual users. There is a demand for the ongoing development of methods for ensuring security in cyberspace. A crucial cybersecurity solution is intrusion detection systems, which detect attacks in network environments and responds appropriately. This article presents a new multivariable heuristic intrusion detection algorithm based on different types of flags and values of entropy. The data is shared by organisations to help increase the effectiveness of intrusion detection. The authors also propose default values for parameters of a heuristic algorithm and values regarding detection thresholds. This solution has been implemented in a well-known, open-source system and verified with a series of tests. Additionally, the authors investigated how updating the variables affects the intrusion detection process. The results confirmed the effectiveness of the proposed approach and heuristic algorithm. MDPI 2021-06-19 /pmc/articles/PMC8234388/ /pubmed/34205238 http://dx.doi.org/10.3390/e23060776 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Niemiec, Marcin Kościej, Rafał Gdowski, Bartłomiej Multivariable Heuristic Approach to Intrusion Detection in Network Environments |
title | Multivariable Heuristic Approach to Intrusion Detection in Network Environments |
title_full | Multivariable Heuristic Approach to Intrusion Detection in Network Environments |
title_fullStr | Multivariable Heuristic Approach to Intrusion Detection in Network Environments |
title_full_unstemmed | Multivariable Heuristic Approach to Intrusion Detection in Network Environments |
title_short | Multivariable Heuristic Approach to Intrusion Detection in Network Environments |
title_sort | multivariable heuristic approach to intrusion detection in network environments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234388/ https://www.ncbi.nlm.nih.gov/pubmed/34205238 http://dx.doi.org/10.3390/e23060776 |
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