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dc.contributor.authorPatzer, Florian
dc.date.accessioned2022-10-26T04:02:20Z
dc.date.available2022-10-26T04:02:20Z
dc.date.issued2022
dc.date.submitted2022-10-25T09:35:31Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/59048
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/93307
dc.description.abstractAutomated defense and prevention measures designed to protect industrial automation and control systems often compromise their real-time processing, resilience and redundancy. Therefore, they need to be performed as non-invasively as possible. Nevertheless, particularly minimally invasive security analysis and incident response are still poorly researched. This work presents solutions based on new semantic- and SDN-based approaches to some of the most important problems in these areas.
dc.languageGerman
dc.relation.ispartofseriesKarlsruher Schriften zur Anthropomatik
dc.rightsopen access
dc.subject.otherSicherheitsanalyse; Ontologie; Software-defined Networking; Incident Response; Industrial Automation and Control Systems; security analysis; semantic web; ontology; software-defined networking; incident response; industrial automation and control systems
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists
dc.titleAutomatisierte, minimalinvasive Sicherheitsanalyse und Vorfallreaktion für industrielle Systeme
dc.typebook
oapen.identifier.doi10.5445/KSP/1000147783
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.pages388
dc.seriesnumber56


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