Matches in SemOpenAlex for { <https://semopenalex.org/work/W2945397434> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2945397434 abstract "Cyber-Physical Production Systems (CPPS) will usher a new era of smart manufacturing. However, CPPS will be vulnerable to cross-domain attacks due to the interactions between the cyber and physical domains. To address the challenges of modeling cross-domain security in CPPS, we are proposing GAN-Sec, a novel conditional Generative Adversarial Network based modeling approach to abstract and estimate the relations between the cyber and physical domains. Using GAN-Sec, we are able to determine if various security requirements such as confidentiality, availability, and integrity are met. We provide a security analysis of an additive manufacturing system to demonstrate the applicability of GAN-Sec." @default.
- W2945397434 created "2019-05-29" @default.
- W2945397434 creator A5001398914 @default.
- W2945397434 creator A5047567173 @default.
- W2945397434 creator A5055814180 @default.
- W2945397434 creator A5083668079 @default.
- W2945397434 date "2019-03-01" @default.
- W2945397434 modified "2023-10-01" @default.
- W2945397434 title "GAN-Sec: Generative Adversarial Network Modeling for the Security Analysis of Cyber-Physical Production Systems" @default.
- W2945397434 cites W119592666 @default.
- W2945397434 cites W1972809722 @default.
- W2945397434 cites W2020851875 @default.
- W2945397434 cites W2143842190 @default.
- W2945397434 cites W2351765604 @default.
- W2945397434 cites W2537385619 @default.
- W2945397434 cites W2775585208 @default.
- W2945397434 cites W2789938417 @default.
- W2945397434 doi "https://doi.org/10.23919/date.2019.8715283" @default.
- W2945397434 hasPublicationYear "2019" @default.
- W2945397434 type Work @default.
- W2945397434 sameAs 2945397434 @default.
- W2945397434 citedByCount "13" @default.
- W2945397434 countsByYear W29453974342020 @default.
- W2945397434 countsByYear W29453974342021 @default.
- W2945397434 countsByYear W29453974342023 @default.
- W2945397434 crossrefType "proceedings-article" @default.
- W2945397434 hasAuthorship W2945397434A5001398914 @default.
- W2945397434 hasAuthorship W2945397434A5047567173 @default.
- W2945397434 hasAuthorship W2945397434A5055814180 @default.
- W2945397434 hasAuthorship W2945397434A5083668079 @default.
- W2945397434 hasConcept C108583219 @default.
- W2945397434 hasConcept C111919701 @default.
- W2945397434 hasConcept C134306372 @default.
- W2945397434 hasConcept C139719470 @default.
- W2945397434 hasConcept C154945302 @default.
- W2945397434 hasConcept C162324750 @default.
- W2945397434 hasConcept C179768478 @default.
- W2945397434 hasConcept C2778348673 @default.
- W2945397434 hasConcept C2988773926 @default.
- W2945397434 hasConcept C33923547 @default.
- W2945397434 hasConcept C36503486 @default.
- W2945397434 hasConcept C37736160 @default.
- W2945397434 hasConcept C38369872 @default.
- W2945397434 hasConcept C38652104 @default.
- W2945397434 hasConcept C39890363 @default.
- W2945397434 hasConcept C41008148 @default.
- W2945397434 hasConcept C71745522 @default.
- W2945397434 hasConceptScore W2945397434C108583219 @default.
- W2945397434 hasConceptScore W2945397434C111919701 @default.
- W2945397434 hasConceptScore W2945397434C134306372 @default.
- W2945397434 hasConceptScore W2945397434C139719470 @default.
- W2945397434 hasConceptScore W2945397434C154945302 @default.
- W2945397434 hasConceptScore W2945397434C162324750 @default.
- W2945397434 hasConceptScore W2945397434C179768478 @default.
- W2945397434 hasConceptScore W2945397434C2778348673 @default.
- W2945397434 hasConceptScore W2945397434C2988773926 @default.
- W2945397434 hasConceptScore W2945397434C33923547 @default.
- W2945397434 hasConceptScore W2945397434C36503486 @default.
- W2945397434 hasConceptScore W2945397434C37736160 @default.
- W2945397434 hasConceptScore W2945397434C38369872 @default.
- W2945397434 hasConceptScore W2945397434C38652104 @default.
- W2945397434 hasConceptScore W2945397434C39890363 @default.
- W2945397434 hasConceptScore W2945397434C41008148 @default.
- W2945397434 hasConceptScore W2945397434C71745522 @default.
- W2945397434 hasLocation W29453974341 @default.
- W2945397434 hasOpenAccess W2945397434 @default.
- W2945397434 hasPrimaryLocation W29453974341 @default.
- W2945397434 hasRelatedWork W2901368259 @default.
- W2945397434 hasRelatedWork W2996316059 @default.
- W2945397434 hasRelatedWork W3156291593 @default.
- W2945397434 hasRelatedWork W3156763702 @default.
- W2945397434 hasRelatedWork W3198184493 @default.
- W2945397434 hasRelatedWork W4220812973 @default.
- W2945397434 hasRelatedWork W4240838714 @default.
- W2945397434 hasRelatedWork W4293233653 @default.
- W2945397434 hasRelatedWork W4319150769 @default.
- W2945397434 hasRelatedWork W4385945471 @default.
- W2945397434 isParatext "false" @default.
- W2945397434 isRetracted "false" @default.
- W2945397434 magId "2945397434" @default.
- W2945397434 workType "article" @default.