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dc.contributor.authorPatzer, Florian
dc.date.accessioned2022-10-25T09:35:31Z
dc.date.available2022-10-25T09:35:31Z
dc.date.issued2022
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/59048
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.en_US
dc.languageGermanen_US
dc.relation.ispartofseriesKarlsruher Schriften zur Anthropomatiken_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientistsen_US
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 systemsen_US
dc.titleAutomatisierte, minimalinvasive Sicherheitsanalyse und Vorfallreaktion für industrielle Systemeen_US
dc.typebook
oapen.identifier.doi10.5445/KSP/1000147783en_US
oapen.relation.isPublishedBy44e29711-8d53-496b-85cc-3d10c9469be9en_US
oapen.series.number56en_US
oapen.pages388en_US


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