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An Immunity-Based Anomaly Detection System with Sensor Agents
This paper proposes an immunity-based anomaly detection system with sensor agents based on the specificity and diversity of the immune system. Each agent is specialized to react to the behavior of a specific user. Multiple diverse agents decide whether the behavior is normal or abnormal. Conventiona...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3260637/ https://www.ncbi.nlm.nih.gov/pubmed/22291560 http://dx.doi.org/10.3390/s91109175 |
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author | Okamoto, Takeshi Ishida, Yoshiteru |
author_facet | Okamoto, Takeshi Ishida, Yoshiteru |
author_sort | Okamoto, Takeshi |
collection | PubMed |
description | This paper proposes an immunity-based anomaly detection system with sensor agents based on the specificity and diversity of the immune system. Each agent is specialized to react to the behavior of a specific user. Multiple diverse agents decide whether the behavior is normal or abnormal. Conventional systems have used only a single sensor to detect anomalies, while the immunity-based system makes use of multiple sensors, which leads to improvements in detection accuracy. In addition, we propose an evaluation framework for the anomaly detection system, which is capable of evaluating the differences in detection accuracy between internal and external anomalies. This paper focuses on anomaly detection in user's command sequences on UNIX-like systems. In experiments, the immunity-based system outperformed some of the best conventional systems. |
format | Online Article Text |
id | pubmed-3260637 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32606372012-01-30 An Immunity-Based Anomaly Detection System with Sensor Agents Okamoto, Takeshi Ishida, Yoshiteru Sensors (Basel) Article This paper proposes an immunity-based anomaly detection system with sensor agents based on the specificity and diversity of the immune system. Each agent is specialized to react to the behavior of a specific user. Multiple diverse agents decide whether the behavior is normal or abnormal. Conventional systems have used only a single sensor to detect anomalies, while the immunity-based system makes use of multiple sensors, which leads to improvements in detection accuracy. In addition, we propose an evaluation framework for the anomaly detection system, which is capable of evaluating the differences in detection accuracy between internal and external anomalies. This paper focuses on anomaly detection in user's command sequences on UNIX-like systems. In experiments, the immunity-based system outperformed some of the best conventional systems. Molecular Diversity Preservation International (MDPI) 2009-11-18 /pmc/articles/PMC3260637/ /pubmed/22291560 http://dx.doi.org/10.3390/s91109175 Text en © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Okamoto, Takeshi Ishida, Yoshiteru An Immunity-Based Anomaly Detection System with Sensor Agents |
title | An Immunity-Based Anomaly Detection System with Sensor Agents |
title_full | An Immunity-Based Anomaly Detection System with Sensor Agents |
title_fullStr | An Immunity-Based Anomaly Detection System with Sensor Agents |
title_full_unstemmed | An Immunity-Based Anomaly Detection System with Sensor Agents |
title_short | An Immunity-Based Anomaly Detection System with Sensor Agents |
title_sort | immunity-based anomaly detection system with sensor agents |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3260637/ https://www.ncbi.nlm.nih.gov/pubmed/22291560 http://dx.doi.org/10.3390/s91109175 |
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