A Methodology for the Dynamic Design of Adaptive Log Management Infrastructures
Organizations collect log data for various reasons, including security related ones. The multitude and diversity of the devices that generate log records increases, resulting to dispersed networks and large volumes of data. The design of a log management infrastructure is usually led by decisions th...
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European Alliance for Innovation (EAI)
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Online Access: | https://eudl.eu/pdf/10.4108/eai.25-1-2019.159347 |
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doaj-9b9be7ba26d84c5a9876753c1e23fe062020-11-25T02:29:24ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Security and Safety2032-93932019-01-0161910.4108/eai.25-1-2019.159347A Methodology for the Dynamic Design of Adaptive Log Management InfrastructuresV. Anastopoulos0S. Katsikas1Department of Digital Systems, University of Piraeus, Piraeus, GreeceDepartment of Information Security and Communication Technology, Norwegian University of Science and Technology, Gjøvik N-2802, NorwayFaculty of Pure and Applied Sciences, Open University of Cyprus, Nicosia, CyprusOrganizations collect log data for various reasons, including security related ones. The multitude and diversity of the devices that generate log records increases, resulting to dispersed networks and large volumes of data. The design of a log management infrastructure is usually led by decisions that are commonly based on industry best practices and experience, but fail to adapt to the evolving threat landscape. In this work a novel methodology for the design of a dynamic log management infrastructure is proposed. The proposed methodology leverages social network analysis to relate the infrastructure with the threat landscape, thus enabling it to evolve as threats evolve. The workings of the methodology aredemonstrated by means of its application for the design of the log management infrastructure of a real organization.https://eudl.eu/pdf/10.4108/eai.25-1-2019.159347log managementsocial network analysisorganizational risk analyzerrisk |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
V. Anastopoulos S. Katsikas |
spellingShingle |
V. Anastopoulos S. Katsikas A Methodology for the Dynamic Design of Adaptive Log Management Infrastructures EAI Endorsed Transactions on Security and Safety log management social network analysis organizational risk analyzer risk |
author_facet |
V. Anastopoulos S. Katsikas |
author_sort |
V. Anastopoulos |
title |
A Methodology for the Dynamic Design of Adaptive Log Management Infrastructures |
title_short |
A Methodology for the Dynamic Design of Adaptive Log Management Infrastructures |
title_full |
A Methodology for the Dynamic Design of Adaptive Log Management Infrastructures |
title_fullStr |
A Methodology for the Dynamic Design of Adaptive Log Management Infrastructures |
title_full_unstemmed |
A Methodology for the Dynamic Design of Adaptive Log Management Infrastructures |
title_sort |
methodology for the dynamic design of adaptive log management infrastructures |
publisher |
European Alliance for Innovation (EAI) |
series |
EAI Endorsed Transactions on Security and Safety |
issn |
2032-9393 |
publishDate |
2019-01-01 |
description |
Organizations collect log data for various reasons, including security related ones. The multitude and diversity of the devices that generate log records increases, resulting to dispersed networks and large volumes of data. The design of a log management infrastructure is usually led by decisions that are commonly based on industry best practices and experience, but fail to adapt to the evolving threat landscape. In this work a novel methodology for the design of a dynamic log management infrastructure is proposed. The proposed methodology leverages social network analysis to relate the infrastructure with the threat landscape, thus enabling it to evolve as threats evolve. The workings of the methodology aredemonstrated by means of its application for the design of the log management infrastructure of a real organization. |
topic |
log management social network analysis organizational risk analyzer risk |
url |
https://eudl.eu/pdf/10.4108/eai.25-1-2019.159347 |
work_keys_str_mv |
AT vanastopoulos amethodologyforthedynamicdesignofadaptivelogmanagementinfrastructures AT skatsikas amethodologyforthedynamicdesignofadaptivelogmanagementinfrastructures AT vanastopoulos methodologyforthedynamicdesignofadaptivelogmanagementinfrastructures AT skatsikas methodologyforthedynamicdesignofadaptivelogmanagementinfrastructures |
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