LEADER 01746nam 2200313z- 450 001 9910805674203321 005 20221026 035 $a(CKB)5720000000263605 035 $a(oapen)doab93307 035 $a(EXLCZ)995720000000263605 100 $a20240213c2022uuuu -u- - 101 0 $ager 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAutomatisierte, minimalinvasive Sicherheitsanalyse und Vorfallreaktion fu?r industrielle Systeme 210 $cKIT Scientific Publishing$d2022 215 $a1 online resource (388 p.) 225 1 $aKarlsruher Schriften zur Anthropomatik 311 08$a3-7315-1207-6 330 $aAutomated 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. 606 $aMaths for computer scientists$2bicssc 610 $aSicherheitsanalyse; Ontologie; Software-defined Networking; Incident Response; Industrial Automation and Control Systems; security analysis; semantic web; ontology; software-defined networking; incident response; industrial automation and control systems 615 7$aMaths for computer scientists 906 $aBOOK 912 $a9910805674203321 996 $aAutomatisierte, minimalinvasive Sicherheitsanalyse und Vorfallreaktion für industrielle Systeme$93909603 997 $aUNINA