Adaptive risk management with ontology linked evidential statistics and SDN

Arto Juhola; Titta Ahola; Kimmo Ahola

doi:10.1145/2642803.2642805

Adaptive risk management with ontology linked evidential statistics and SDN

Arto Juhola, Titta Ahola, Kimmo Ahola

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific

1 Citation (Scopus)

Abstract

New technologies have increased the dynamism of distributed systems; advances such as Software Defined Networking (SDN) and cloud computing enable unprecedented service flexibility and scalability. By their nature, they are in a constant state of flux, presenting tough challenges for system security. Here an adaptive - in real time - risk management system capable of keeping abreast of these developments is considered. This paper presents an on-going work on combining a hierarchical threat ontology, real-time risk analysis, and SDN to an efficient whole. The main contribution of this paper is on finding the suitable architectures, components, necessary requirements, and favorable modifications on the systems and system modelling (including the models involving the security analysis) to reach this goal.

Original language	English
Title of host publication	Proceedings of the ECSA 2014 Workshops and Tool Demos Track - European Conference on Software Architecture, ECSAW 2014
Publisher	Association for Computing Machinery ACM
ISBN (Print)	978-1-4503-2778-7
DOIs	https://doi.org/10.1145/2642803.2642805
Publication status	Published - 1 Jan 2014
MoE publication type	B3 Non-refereed article in conference proceedings
Event	8th European Conference on Software Architecture Workshops, ECSAW 2014 - Vienna, Austria Duration: 25 Aug 2014 → 29 Aug 2014

Conference

Conference	8th European Conference on Software Architecture Workshops, ECSAW 2014
Abbreviated title	ECSAW 2014
Country/Territory	Austria
City	Vienna
Period	25/08/14 → 29/08/14

Keywords

Adaptive security
Dempster-Schafer
Dezert-Smarandache
Neural Network inspired Fuzzy C-means
SDN
Threat ontology

Access to Document

10.1145/2642803.2642805

Cite this

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title = "Adaptive risk management with ontology linked evidential statistics and SDN",

abstract = "New technologies have increased the dynamism of distributed systems; advances such as Software Defined Networking (SDN) and cloud computing enable unprecedented service flexibility and scalability. By their nature, they are in a constant state of flux, presenting tough challenges for system security. Here an adaptive - in real time - risk management system capable of keeping abreast of these developments is considered. This paper presents an on-going work on combining a hierarchical threat ontology, real-time risk analysis, and SDN to an efficient whole. The main contribution of this paper is on finding the suitable architectures, components, necessary requirements, and favorable modifications on the systems and system modelling (including the models involving the security analysis) to reach this goal.",

keywords = "Adaptive security, Dempster-Schafer, Dezert-Smarandache, Neural Network inspired Fuzzy C-means, SDN, Threat ontology",

author = "Arto Juhola and Titta Ahola and Kimmo Ahola",

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note = "8th European Conference on Software Architecture Workshops, ECSAW 2014, ECSAW 2014 ; Conference date: 25-08-2014 Through 29-08-2014",

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Juhola, A, Ahola, T & Ahola, K 2014, Adaptive risk management with ontology linked evidential statistics and SDN. in Proceedings of the ECSA 2014 Workshops and Tool Demos Track - European Conference on Software Architecture, ECSAW 2014. Association for Computing Machinery ACM, 8th European Conference on Software Architecture Workshops, ECSAW 2014, Vienna, Austria, 25/08/14. https://doi.org/10.1145/2642803.2642805

Adaptive risk management with ontology linked evidential statistics and SDN. / Juhola, Arto; Ahola, Titta ; Ahola, Kimmo.
Proceedings of the ECSA 2014 Workshops and Tool Demos Track - European Conference on Software Architecture, ECSAW 2014. Association for Computing Machinery ACM, 2014.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific

TY - GEN

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AU - Ahola, Titta

AU - Ahola, Kimmo

PY - 2014/1/1

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KW - Adaptive security

KW - Dempster-Schafer

KW - Dezert-Smarandache

KW - Neural Network inspired Fuzzy C-means

KW - SDN

KW - Threat ontology

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M3 - Conference article in proceedings

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SN - 978-1-4503-2778-7

BT - Proceedings of the ECSA 2014 Workshops and Tool Demos Track - European Conference on Software Architecture, ECSAW 2014

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T2 - 8th European Conference on Software Architecture Workshops, ECSAW 2014

Y2 - 25 August 2014 through 29 August 2014

ER -

Adaptive risk management with ontology linked evidential statistics and SDN

Abstract

Conference

Keywords

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