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Using a Prediction Model to Manage Cyber Security Threats
Cyber-attacks are an important issue faced by all organizations. Securing information systems is critical. Organizations should be able to understand the ecosystem and predict attacks. Predicting attacks quantitatively should be part of risk management. The cost impact due to worms, viruses, or othe...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433707/ https://www.ncbi.nlm.nih.gov/pubmed/26065024 http://dx.doi.org/10.1155/2015/703713 |
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author | Jaganathan, Venkatesh Cherurveettil, Priyesh Muthu Sivashanmugam, Premapriya |
author_facet | Jaganathan, Venkatesh Cherurveettil, Priyesh Muthu Sivashanmugam, Premapriya |
author_sort | Jaganathan, Venkatesh |
collection | PubMed |
description | Cyber-attacks are an important issue faced by all organizations. Securing information systems is critical. Organizations should be able to understand the ecosystem and predict attacks. Predicting attacks quantitatively should be part of risk management. The cost impact due to worms, viruses, or other malicious software is significant. This paper proposes a mathematical model to predict the impact of an attack based on significant factors that influence cyber security. This model also considers the environmental information required. It is generalized and can be customized to the needs of the individual organization. |
format | Online Article Text |
id | pubmed-4433707 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-44337072015-06-10 Using a Prediction Model to Manage Cyber Security Threats Jaganathan, Venkatesh Cherurveettil, Priyesh Muthu Sivashanmugam, Premapriya ScientificWorldJournal Research Article Cyber-attacks are an important issue faced by all organizations. Securing information systems is critical. Organizations should be able to understand the ecosystem and predict attacks. Predicting attacks quantitatively should be part of risk management. The cost impact due to worms, viruses, or other malicious software is significant. This paper proposes a mathematical model to predict the impact of an attack based on significant factors that influence cyber security. This model also considers the environmental information required. It is generalized and can be customized to the needs of the individual organization. Hindawi Publishing Corporation 2015 2015-05-03 /pmc/articles/PMC4433707/ /pubmed/26065024 http://dx.doi.org/10.1155/2015/703713 Text en Copyright © 2015 Venkatesh Jaganathan et al. 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 Jaganathan, Venkatesh Cherurveettil, Priyesh Muthu Sivashanmugam, Premapriya Using a Prediction Model to Manage Cyber Security Threats |
title | Using a Prediction Model to Manage Cyber Security Threats |
title_full | Using a Prediction Model to Manage Cyber Security Threats |
title_fullStr | Using a Prediction Model to Manage Cyber Security Threats |
title_full_unstemmed | Using a Prediction Model to Manage Cyber Security Threats |
title_short | Using a Prediction Model to Manage Cyber Security Threats |
title_sort | using a prediction model to manage cyber security threats |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433707/ https://www.ncbi.nlm.nih.gov/pubmed/26065024 http://dx.doi.org/10.1155/2015/703713 |
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