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dc.contributor.authorBorcherding, Anne
dc.date.accessioned2026-03-17T14:46:03Z
dc.date.available2026-03-17T14:46:03Z
dc.date.issued2026
dc.identifier.issn1863-6489 (Online)
dc.identifier.urihttps://oapen-dev.siscern.org/handle/20.500.12657/109106
dc.description.abstractIndustrial systems face increasing threats, particularly through network-connected Operational Technology (OT) components such as controllers and actuators. These components rely on standard internet protocols, making strong security essential. However, existing blackbox testing tools, crucial for securing OT, struggle to meet the unique demands of such components. This work enhances blackbox testing by leveraging available information, leading to the discovery of eight critical vulnerabilities.
dc.languageEnglish
dc.relation.ispartofseriesKarlsruher Schriften zur Anthropomatik
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
dc.subject.otherFuzzing
dc.subject.otherIndustrial Control Systems
dc.subject.otherIndustrielle Steuerungssysteme
dc.subject.otherIT Security
dc.subject.otherMachine Learning
dc.subject.otherMaschinelles Lernen
dc.subject.otherIT-Sicherheit
dc.titleUse of Accessible Information to Improve Industrial Security Testing
dc.typebook
oapen.identifier.doi10.5445/KSP/1000176801
oapen.relation.isPublishedBy44e29711-8d53-496b-85cc-3d10c9469be9
oapen.relation.isbn9783731514008
oapen.imprintKIT Scientific Publishing
oapen.series.number70
oapen.pages444
oapen.place.publicationKarlsruhe, Germany


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