Matches in SemOpenAlex for { <https://semopenalex.org/work/W2752165910> ?p ?o ?g. }
- W2752165910 abstract "In many scenarios of security analysis, Bayesian methods are often used for assessing harmful factors like attacks, as Bayesian causal model can estimate or predict the effect from the observed factors. To distinguish which ones are direct or significant causal (harmful) factors to the target systems, we often need to calculate a (local) causal network, but the existing methods usually return Markov equivalence classes instead of an actual causal structure. In this paper, a new approach for inferring causal direction from multi-dimensional causal networks for assessing harmful factors in security analysis is proposed based on a split-and-merge strategy. The method first decomposes an n-dimensional network into induced subnetworks, each of which corresponds to a node in the network. We show that each induced subnetwork can be subsumed into one of the three substructures: one-degree, non-triangle, and triangle-existence substructures. Three effective algorithms are developed to infer causalities from the three substructures. The whole causal structure of the multi-dimensional network is obtained by learning these induced subnetworks separately. Experimental results demonstrate that our method is more general and effective than the state-of-the-art methods." @default.
- W2752165910 created "2017-09-15" @default.
- W2752165910 creator A5007074476 @default.
- W2752165910 creator A5058191381 @default.
- W2752165910 creator A5058336811 @default.
- W2752165910 creator A5078510924 @default.
- W2752165910 date "2017-01-01" @default.
- W2752165910 modified "2023-10-17" @default.
- W2752165910 title "Inferring Causal Direction From Multi-Dimensional Causal Networks for Assessing Harmful Factors in Security Analysis" @default.
- W2752165910 cites W1482778976 @default.
- W2752165910 cites W1497574396 @default.
- W2752165910 cites W1586003574 @default.
- W2752165910 cites W1595251712 @default.
- W2752165910 cites W2002251109 @default.
- W2752165910 cites W2070562133 @default.
- W2752165910 cites W2119471399 @default.
- W2752165910 cites W2132507555 @default.
- W2752165910 cites W2132547334 @default.
- W2752165910 cites W2143891888 @default.
- W2752165910 cites W2147881172 @default.
- W2752165910 cites W2150996947 @default.
- W2752165910 cites W2151226328 @default.
- W2752165910 cites W2157724659 @default.
- W2752165910 cites W2165582599 @default.
- W2752165910 cites W2169475532 @default.
- W2752165910 cites W2171408260 @default.
- W2752165910 cites W2186611259 @default.
- W2752165910 cites W2304588021 @default.
- W2752165910 cites W2347112004 @default.
- W2752165910 cites W830293142 @default.
- W2752165910 doi "https://doi.org/10.1109/access.2017.2746539" @default.
- W2752165910 hasPublicationYear "2017" @default.
- W2752165910 type Work @default.
- W2752165910 sameAs 2752165910 @default.
- W2752165910 citedByCount "3" @default.
- W2752165910 countsByYear W27521659102017 @default.
- W2752165910 countsByYear W27521659102018 @default.
- W2752165910 crossrefType "journal-article" @default.
- W2752165910 hasAuthorship W2752165910A5007074476 @default.
- W2752165910 hasAuthorship W2752165910A5058191381 @default.
- W2752165910 hasAuthorship W2752165910A5058336811 @default.
- W2752165910 hasAuthorship W2752165910A5078510924 @default.
- W2752165910 hasBestOaLocation W27521659101 @default.
- W2752165910 hasConcept C105795698 @default.
- W2752165910 hasConcept C107673813 @default.
- W2752165910 hasConcept C11671645 @default.
- W2752165910 hasConcept C119857082 @default.
- W2752165910 hasConcept C121332964 @default.
- W2752165910 hasConcept C124101348 @default.
- W2752165910 hasConcept C149782125 @default.
- W2752165910 hasConcept C154945302 @default.
- W2752165910 hasConcept C158600405 @default.
- W2752165910 hasConcept C163504300 @default.
- W2752165910 hasConcept C197129107 @default.
- W2752165910 hasConcept C23123220 @default.
- W2752165910 hasConcept C2780186347 @default.
- W2752165910 hasConcept C2987525970 @default.
- W2752165910 hasConcept C33724603 @default.
- W2752165910 hasConcept C33923547 @default.
- W2752165910 hasConcept C38652104 @default.
- W2752165910 hasConcept C41008148 @default.
- W2752165910 hasConcept C62520636 @default.
- W2752165910 hasConceptScore W2752165910C105795698 @default.
- W2752165910 hasConceptScore W2752165910C107673813 @default.
- W2752165910 hasConceptScore W2752165910C11671645 @default.
- W2752165910 hasConceptScore W2752165910C119857082 @default.
- W2752165910 hasConceptScore W2752165910C121332964 @default.
- W2752165910 hasConceptScore W2752165910C124101348 @default.
- W2752165910 hasConceptScore W2752165910C149782125 @default.
- W2752165910 hasConceptScore W2752165910C154945302 @default.
- W2752165910 hasConceptScore W2752165910C158600405 @default.
- W2752165910 hasConceptScore W2752165910C163504300 @default.
- W2752165910 hasConceptScore W2752165910C197129107 @default.
- W2752165910 hasConceptScore W2752165910C23123220 @default.
- W2752165910 hasConceptScore W2752165910C2780186347 @default.
- W2752165910 hasConceptScore W2752165910C2987525970 @default.
- W2752165910 hasConceptScore W2752165910C33724603 @default.
- W2752165910 hasConceptScore W2752165910C33923547 @default.
- W2752165910 hasConceptScore W2752165910C38652104 @default.
- W2752165910 hasConceptScore W2752165910C41008148 @default.
- W2752165910 hasConceptScore W2752165910C62520636 @default.
- W2752165910 hasFunder F4320321001 @default.
- W2752165910 hasFunder F4320324202 @default.
- W2752165910 hasLocation W27521659101 @default.
- W2752165910 hasOpenAccess W2752165910 @default.
- W2752165910 hasPrimaryLocation W27521659101 @default.
- W2752165910 hasRelatedWork W1641347315 @default.
- W2752165910 hasRelatedWork W1973063008 @default.
- W2752165910 hasRelatedWork W1975871641 @default.
- W2752165910 hasRelatedWork W2103286995 @default.
- W2752165910 hasRelatedWork W2133091666 @default.
- W2752165910 hasRelatedWork W2364507886 @default.
- W2752165910 hasRelatedWork W2555206476 @default.
- W2752165910 hasRelatedWork W2727862169 @default.
- W2752165910 hasRelatedWork W2798501753 @default.
- W2752165910 hasRelatedWork W2808171210 @default.
- W2752165910 hasRelatedWork W2905796303 @default.
- W2752165910 hasRelatedWork W2912692476 @default.
- W2752165910 hasRelatedWork W2963678538 @default.
- W2752165910 hasRelatedWork W2991836287 @default.