Matches in SemOpenAlex for { <https://semopenalex.org/work/W4292575003> ?p ?o ?g. }
- W4292575003 endingPage "10368" @default.
- W4292575003 startingPage "10368" @default.
- W4292575003 abstract "Smart city infrastructure and the related theme of critical national infrastructure have attracted growing interest in recent years in academic literature, notably how cyber-security can be effectively applied within the environment, which involves using cyber-physical systems. These operate cross-domain and have massively improved functionality and complexity, especially in threat modelling cyber-security analysis—the disparity between current cyber-security proficiency and the requirements for an effective cyber-security systems implementation. Analysing risk across the entire analysed system can be associated with many different cyber security methods for overall cyber risk analysis or identifying vulnerability for individually modelled objects. One method for performing risk analysis proposed in the literature is by applying Bayesian-based threat modelling methodologies. This paper performs a systematic literature review of Bayesian networks and unique alternative methodologies for smart city infrastructure analysis and related critical national infrastructures. A comparative analysis of the different methodological approaches, considering the many intricacies, metrics, and methods behind them, with suggestions made for future research in the field of cyber-physical threat modelling for smart city infrastructure." @default.
- W4292575003 created "2022-08-22" @default.
- W4292575003 creator A5011245055 @default.
- W4292575003 creator A5042356259 @default.
- W4292575003 creator A5048281949 @default.
- W4292575003 date "2022-08-19" @default.
- W4292575003 modified "2023-10-05" @default.
- W4292575003 title "A Systematic Review of Smart City Infrastructure Threat Modelling Methodologies: A Bayesian Focused Review" @default.
- W4292575003 cites W1192350387 @default.
- W4292575003 cites W1491543711 @default.
- W4292575003 cites W1534921012 @default.
- W4292575003 cites W1993619428 @default.
- W4292575003 cites W2010772936 @default.
- W4292575003 cites W2022448836 @default.
- W4292575003 cites W2048063069 @default.
- W4292575003 cites W2050131929 @default.
- W4292575003 cites W2088747650 @default.
- W4292575003 cites W2089662742 @default.
- W4292575003 cites W2113188272 @default.
- W4292575003 cites W2148074923 @default.
- W4292575003 cites W2155646561 @default.
- W4292575003 cites W2163954277 @default.
- W4292575003 cites W2174943293 @default.
- W4292575003 cites W2294373933 @default.
- W4292575003 cites W2487668966 @default.
- W4292575003 cites W2501544182 @default.
- W4292575003 cites W2562516989 @default.
- W4292575003 cites W2587622726 @default.
- W4292575003 cites W2662852151 @default.
- W4292575003 cites W2694044524 @default.
- W4292575003 cites W2737455268 @default.
- W4292575003 cites W2738829119 @default.
- W4292575003 cites W2749141039 @default.
- W4292575003 cites W2765489703 @default.
- W4292575003 cites W2811082449 @default.
- W4292575003 cites W2885223044 @default.
- W4292575003 cites W2889056669 @default.
- W4292575003 cites W2890590966 @default.
- W4292575003 cites W2895832321 @default.
- W4292575003 cites W2911071991 @default.
- W4292575003 cites W2964585811 @default.
- W4292575003 cites W2989727743 @default.
- W4292575003 cites W3011668005 @default.
- W4292575003 cites W3011860579 @default.
- W4292575003 cites W3014113069 @default.
- W4292575003 cites W3015447433 @default.
- W4292575003 cites W3025221791 @default.
- W4292575003 cites W3029404970 @default.
- W4292575003 cites W3030742098 @default.
- W4292575003 cites W3041076789 @default.
- W4292575003 cites W3048545059 @default.
- W4292575003 cites W3048785763 @default.
- W4292575003 cites W3110370583 @default.
- W4292575003 cites W3131988611 @default.
- W4292575003 cites W3140933240 @default.
- W4292575003 cites W3146908316 @default.
- W4292575003 cites W3151540024 @default.
- W4292575003 cites W4206325541 @default.
- W4292575003 cites W4291213652 @default.
- W4292575003 cites W4366739707 @default.
- W4292575003 cites W2053188234 @default.
- W4292575003 doi "https://doi.org/10.3390/su141610368" @default.
- W4292575003 hasPublicationYear "2022" @default.
- W4292575003 type Work @default.
- W4292575003 citedByCount "1" @default.
- W4292575003 countsByYear W42925750032023 @default.
- W4292575003 crossrefType "journal-article" @default.
- W4292575003 hasAuthorship W4292575003A5011245055 @default.
- W4292575003 hasAuthorship W4292575003A5042356259 @default.
- W4292575003 hasAuthorship W4292575003A5048281949 @default.
- W4292575003 hasBestOaLocation W42925750031 @default.
- W4292575003 hasConcept C111919701 @default.
- W4292575003 hasConcept C112930515 @default.
- W4292575003 hasConcept C134306372 @default.
- W4292575003 hasConcept C137176749 @default.
- W4292575003 hasConcept C144133560 @default.
- W4292575003 hasConcept C154945302 @default.
- W4292575003 hasConcept C15744967 @default.
- W4292575003 hasConcept C167063184 @default.
- W4292575003 hasConcept C179768478 @default.
- W4292575003 hasConcept C202444582 @default.
- W4292575003 hasConcept C2522767166 @default.
- W4292575003 hasConcept C29852176 @default.
- W4292575003 hasConcept C33724603 @default.
- W4292575003 hasConcept C33923547 @default.
- W4292575003 hasConcept C36503486 @default.
- W4292575003 hasConcept C38652104 @default.
- W4292575003 hasConcept C41008148 @default.
- W4292575003 hasConcept C542102704 @default.
- W4292575003 hasConcept C95713431 @default.
- W4292575003 hasConcept C9652623 @default.
- W4292575003 hasConceptScore W4292575003C111919701 @default.
- W4292575003 hasConceptScore W4292575003C112930515 @default.
- W4292575003 hasConceptScore W4292575003C134306372 @default.
- W4292575003 hasConceptScore W4292575003C137176749 @default.
- W4292575003 hasConceptScore W4292575003C144133560 @default.
- W4292575003 hasConceptScore W4292575003C154945302 @default.
- W4292575003 hasConceptScore W4292575003C15744967 @default.