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dc.contributor.authorAryan, Ramtin
dc.contributor.authorYazidi, Anis
dc.contributor.authorEngelstad, Paal E.
dc.contributor.authorKure, Øivind
dc.date.accessioned2018-01-25T15:49:22Z
dc.date.accessioned2018-08-17T10:25:51Z
dc.date.available2018-01-25T15:49:22Z
dc.date.available2018-08-17T10:25:51Z
dc.date.issued2017
dc.identifier.citationAryan R, Yazidi A, Engelstad P.E., Kure Ø: A General Formalism for Defining and Detecting OpenFlow Rule Anomalies. In: Jens. 42nd IEEE Conference on Local Computer Networks, 2017. IEEE conference proceedings p. 426-434en
dc.identifier.urihttps://hdl.handle.net/10642/6066
dc.description.abstractSDN network's policies are updated dynamically at a high pace. As a result, conflicts between policies are prone to occur. Due to the large number of switches and heterogeneous policies within a typical SDN network, detecting those conflicts is a laborious and challenging task. This paper presents two-fold contributions. First, we devise an offline method for detecting unmatched OpenFlow rules, i.e., those rules that are never fired. At the heart of our scheme is a formal approach for predicting the packet's path inside a SDN network. In this perspective, we proffer the taxonomy: invalid and irrelevant anomalies for the unmatched rules. Second, we introduce a new set of definitions for the intra-anomalies, which might occur when using the OpenFlow rule's multi-action feature. We provide some comprehensive experimental results that show the feasibility of our approach and its ability to scale within large SDN network.en
dc.language.isoenen
dc.publisherIEEEen
dc.subjectOpenFlowen
dc.subjectAnomaly detectionen
dc.subjectUnmatched rulesen
dc.subjectSoftware defined networksen
dc.titleA General Formalism for Defining and Detecting OpenFlow Rule Anomaliesen
dc.typeChapteren
dc.typePeer revieweden
dc.date.updated2018-01-25T15:49:22Z
dc.description.versionpublishedVersionen
dc.identifier.cristin1552162
dc.source.isbn978-1-5090-6523-3


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