Matches in SemOpenAlex for { <https://semopenalex.org/work/W3197481002> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W3197481002 abstract "Insider threats are one of the most damaging risk factors for the IT systems and infrastructure of a company or an organization; identification of insider threats has prompted the interest of the world academic research community, with several solutions having been proposed to alleviate their potential impact. For the implementation of the experimental stage described in this study, the Convolutional Neural Network (from now on CNN) algorithm was used and implemented via the Google TensorFlow program, which was trained to identify potential threats from images produced by the available dataset. From the examination of the images that were produced and with the help of Machine Learning, the question of whether the activity of each user is classified as malicious or not for the Information System was answered." @default.
- W3197481002 created "2021-09-13" @default.
- W3197481002 creator A5004375212 @default.
- W3197481002 creator A5007223359 @default.
- W3197481002 creator A5044709278 @default.
- W3197481002 creator A5045223903 @default.
- W3197481002 date "2020-06-01" @default.
- W3197481002 modified "2023-10-01" @default.
- W3197481002 title "Detection of Insider Threats using Artificial Intelligence and Visualisation" @default.
- W3197481002 cites W1859925930 @default.
- W3197481002 cites W1988228909 @default.
- W3197481002 cites W2013946142 @default.
- W3197481002 cites W2053003065 @default.
- W3197481002 cites W2112965356 @default.
- W3197481002 cites W2272254334 @default.
- W3197481002 cites W228207274 @default.
- W3197481002 cites W2315113356 @default.
- W3197481002 cites W2606697812 @default.
- W3197481002 cites W2775103799 @default.
- W3197481002 cites W2912868009 @default.
- W3197481002 cites W2976051608 @default.
- W3197481002 cites W3010374978 @default.
- W3197481002 doi "https://doi.org/10.1109/netsoft48620.2020.9165337" @default.
- W3197481002 hasPublicationYear "2020" @default.
- W3197481002 type Work @default.
- W3197481002 sameAs 3197481002 @default.
- W3197481002 citedByCount "4" @default.
- W3197481002 countsByYear W31974810022021 @default.
- W3197481002 countsByYear W31974810022022 @default.
- W3197481002 countsByYear W31974810022023 @default.
- W3197481002 crossrefType "proceedings-article" @default.
- W3197481002 hasAuthorship W3197481002A5004375212 @default.
- W3197481002 hasAuthorship W3197481002A5007223359 @default.
- W3197481002 hasAuthorship W3197481002A5044709278 @default.
- W3197481002 hasAuthorship W3197481002A5045223903 @default.
- W3197481002 hasBestOaLocation W31974810022 @default.
- W3197481002 hasConcept C108583219 @default.
- W3197481002 hasConcept C116834253 @default.
- W3197481002 hasConcept C119857082 @default.
- W3197481002 hasConcept C154945302 @default.
- W3197481002 hasConcept C17744445 @default.
- W3197481002 hasConcept C199539241 @default.
- W3197481002 hasConcept C2522767166 @default.
- W3197481002 hasConcept C2776633304 @default.
- W3197481002 hasConcept C2778971194 @default.
- W3197481002 hasConcept C36464697 @default.
- W3197481002 hasConcept C38652104 @default.
- W3197481002 hasConcept C41008148 @default.
- W3197481002 hasConcept C50644808 @default.
- W3197481002 hasConcept C59822182 @default.
- W3197481002 hasConcept C81363708 @default.
- W3197481002 hasConcept C86803240 @default.
- W3197481002 hasConceptScore W3197481002C108583219 @default.
- W3197481002 hasConceptScore W3197481002C116834253 @default.
- W3197481002 hasConceptScore W3197481002C119857082 @default.
- W3197481002 hasConceptScore W3197481002C154945302 @default.
- W3197481002 hasConceptScore W3197481002C17744445 @default.
- W3197481002 hasConceptScore W3197481002C199539241 @default.
- W3197481002 hasConceptScore W3197481002C2522767166 @default.
- W3197481002 hasConceptScore W3197481002C2776633304 @default.
- W3197481002 hasConceptScore W3197481002C2778971194 @default.
- W3197481002 hasConceptScore W3197481002C36464697 @default.
- W3197481002 hasConceptScore W3197481002C38652104 @default.
- W3197481002 hasConceptScore W3197481002C41008148 @default.
- W3197481002 hasConceptScore W3197481002C50644808 @default.
- W3197481002 hasConceptScore W3197481002C59822182 @default.
- W3197481002 hasConceptScore W3197481002C81363708 @default.
- W3197481002 hasConceptScore W3197481002C86803240 @default.
- W3197481002 hasLocation W31974810021 @default.
- W3197481002 hasLocation W31974810022 @default.
- W3197481002 hasLocation W31974810023 @default.
- W3197481002 hasLocation W31974810024 @default.
- W3197481002 hasLocation W31974810025 @default.
- W3197481002 hasOpenAccess W3197481002 @default.
- W3197481002 hasPrimaryLocation W31974810021 @default.
- W3197481002 hasRelatedWork W1499596878 @default.
- W3197481002 hasRelatedWork W2075012963 @default.
- W3197481002 hasRelatedWork W2337926734 @default.
- W3197481002 hasRelatedWork W2792608345 @default.
- W3197481002 hasRelatedWork W3138053877 @default.
- W3197481002 hasRelatedWork W4205304595 @default.
- W3197481002 hasRelatedWork W4311257506 @default.
- W3197481002 hasRelatedWork W4312417841 @default.
- W3197481002 hasRelatedWork W4320802194 @default.
- W3197481002 hasRelatedWork W4366224123 @default.
- W3197481002 isParatext "false" @default.
- W3197481002 isRetracted "false" @default.
- W3197481002 magId "3197481002" @default.
- W3197481002 workType "article" @default.