Matches in SemOpenAlex for { <https://semopenalex.org/work/W3201280939> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W3201280939 abstract "Effective assessment of cyber risks in the increasingly dynamic threat landscape must be supported by artificial intelligence techniques due to their ability to dynamically scale and adapt. This article provides the state of the art of AI-supported security risk assessment approaches in terms of a systematic mapping study. The overall goal is to obtain an overview of security risk assessment approaches that use AI techniques to identify, estimate, and/or evaluate cyber risks. We carried out the systematic mapping study following standard processes and identified in total 33 relevant primary studies that we included in our mapping study. The results of our study show that on average, the number of papers about AI-supported security risk assessment has been increasing since 2010 with the growth rate of 133% between 2010 and 2020. The risk assessment approaches reported have mainly been used to assess cyber risks related to intrusion detection, malware detection, and industrial systems. The approaches focus mostly on identifying and/or estimating security risks, and primarily make use of Bayesian networks and neural networks as supporting AI methods/techniques." @default.
- W3201280939 created "2021-09-27" @default.
- W3201280939 creator A5022261720 @default.
- W3201280939 creator A5044655007 @default.
- W3201280939 creator A5051734865 @default.
- W3201280939 creator A5083710921 @default.
- W3201280939 creator A5083831247 @default.
- W3201280939 date "2021-07-01" @default.
- W3201280939 modified "2023-10-04" @default.
- W3201280939 title "A Systematic Mapping Study on Approaches for Al-Supported Security Risk Assessment" @default.
- W3201280939 cites W1975675278 @default.
- W3201280939 cites W1990067238 @default.
- W3201280939 cites W2131060714 @default.
- W3201280939 cites W2208596391 @default.
- W3201280939 cites W2893740026 @default.
- W3201280939 cites W2981915020 @default.
- W3201280939 cites W3087386645 @default.
- W3201280939 doi "https://doi.org/10.1109/compsac51774.2021.00107" @default.
- W3201280939 hasPublicationYear "2021" @default.
- W3201280939 type Work @default.
- W3201280939 sameAs 3201280939 @default.
- W3201280939 citedByCount "2" @default.
- W3201280939 countsByYear W32012809392022 @default.
- W3201280939 crossrefType "proceedings-article" @default.
- W3201280939 hasAuthorship W3201280939A5022261720 @default.
- W3201280939 hasAuthorship W3201280939A5044655007 @default.
- W3201280939 hasAuthorship W3201280939A5051734865 @default.
- W3201280939 hasAuthorship W3201280939A5083710921 @default.
- W3201280939 hasAuthorship W3201280939A5083831247 @default.
- W3201280939 hasConcept C112930515 @default.
- W3201280939 hasConcept C12174686 @default.
- W3201280939 hasConcept C154945302 @default.
- W3201280939 hasConcept C17744445 @default.
- W3201280939 hasConcept C189708586 @default.
- W3201280939 hasConcept C199539241 @default.
- W3201280939 hasConcept C2522767166 @default.
- W3201280939 hasConcept C2779473830 @default.
- W3201280939 hasConcept C33724603 @default.
- W3201280939 hasConcept C35525427 @default.
- W3201280939 hasConcept C38652104 @default.
- W3201280939 hasConcept C41008148 @default.
- W3201280939 hasConcept C71924100 @default.
- W3201280939 hasConceptScore W3201280939C112930515 @default.
- W3201280939 hasConceptScore W3201280939C12174686 @default.
- W3201280939 hasConceptScore W3201280939C154945302 @default.
- W3201280939 hasConceptScore W3201280939C17744445 @default.
- W3201280939 hasConceptScore W3201280939C189708586 @default.
- W3201280939 hasConceptScore W3201280939C199539241 @default.
- W3201280939 hasConceptScore W3201280939C2522767166 @default.
- W3201280939 hasConceptScore W3201280939C2779473830 @default.
- W3201280939 hasConceptScore W3201280939C33724603 @default.
- W3201280939 hasConceptScore W3201280939C35525427 @default.
- W3201280939 hasConceptScore W3201280939C38652104 @default.
- W3201280939 hasConceptScore W3201280939C41008148 @default.
- W3201280939 hasConceptScore W3201280939C71924100 @default.
- W3201280939 hasFunder F4320320300 @default.
- W3201280939 hasLocation W32012809391 @default.
- W3201280939 hasOpenAccess W3201280939 @default.
- W3201280939 hasPrimaryLocation W32012809391 @default.
- W3201280939 hasRelatedWork W2031418630 @default.
- W3201280939 hasRelatedWork W2065540911 @default.
- W3201280939 hasRelatedWork W2304212903 @default.
- W3201280939 hasRelatedWork W2437805471 @default.
- W3201280939 hasRelatedWork W2755885017 @default.
- W3201280939 hasRelatedWork W3042040320 @default.
- W3201280939 hasRelatedWork W4281638479 @default.
- W3201280939 hasRelatedWork W4376868929 @default.
- W3201280939 hasRelatedWork W4386071846 @default.
- W3201280939 hasRelatedWork W4386130441 @default.
- W3201280939 isParatext "false" @default.
- W3201280939 isRetracted "false" @default.
- W3201280939 magId "3201280939" @default.
- W3201280939 workType "article" @default.