Towards the Assessment of Distributed Vulnerabilities in Autonomic Networks and Systems
Identifieur interne : 001B67 ( Main/Exploration ); précédent : 001B66; suivant : 001B68Towards the Assessment of Distributed Vulnerabilities in Autonomic Networks and Systems
Auteurs : Martín Barrère [France] ; Rémi Badonnel [France] ; Olivier Festor [France]Source :
English descriptors
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Abstract
Vulnerability management constitutes a crucial activity within autonomic networks and systems. Distributed vulnerabilities must be assessed over a consolidated view of the network in order to detect vulnerable states that may simultaneously involve two or more devices. In this work, we present a novel approach for describing and assessing distributed vulnerabilities in such self-governed environments. We put forward a mathematical construction for defining distributed vulnerabilities as well as an extension of the OVAL language called DOVAL for describing them. We then define a framework for assessing distributed vulnerabilities in autonomic environments that exploits the knowledge provided by such descriptions. We finally show the feasibility of our solution by analyzing the behavior of the proposed algorithms and strategies through a comprehensive set of experiments.
Url:
DOI: 10.1109/NOMS.2012.6211916
Affiliations:
Links toward previous steps (curation, corpus...)
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Le document en format XML
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<profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Autonomic Networks</term>
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<front><div type="abstract" xml:lang="en">Vulnerability management constitutes a crucial activity within autonomic networks and systems. Distributed vulnerabilities must be assessed over a consolidated view of the network in order to detect vulnerable states that may simultaneously involve two or more devices. In this work, we present a novel approach for describing and assessing distributed vulnerabilities in such self-governed environments. We put forward a mathematical construction for defining distributed vulnerabilities as well as an extension of the OVAL language called DOVAL for describing them. We then define a framework for assessing distributed vulnerabilities in autonomic environments that exploits the knowledge provided by such descriptions. We finally show the feasibility of our solution by analyzing the behavior of the proposed algorithms and strategies through a comprehensive set of experiments.</div>
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<tree><country name="France"><region name="Grand Est"><name sortKey="Barrere, Martin" sort="Barrere, Martin" uniqKey="Barrere M" first="Martín" last="Barrère">Martín Barrère</name>
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