Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387432317> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W4387432317 endingPage "103533" @default.
- W4387432317 startingPage "103533" @default.
- W4387432317 abstract "In recent years, the growing threat of cyber attacks has made more researchers focus on the study of alert correlation and attack prediction. While numerous solutions have been proposed, the existing works still have some shortcomings. Without aggregation, previous approaches directly put the excessive and duplicate alerts into models, ignoring the internal logic between adjacent payloads, which we believe is a significant clue to distinguish different types of attacks. In this paper, we propose a similarity based aggregation algorithm to correlate and aggregate alerts, then train a Transformer based model to handle input with variable length and complete the attack prediction. Additionally, a threat estimation method as well as its practical application has been proposed to assess the predicted output. Experimental results demonstrate that our proposed framework has the capability to effectively aggregate alerts, predict different attack intelligence in good mode as well as assess how much threat the administrator would face in the near future." @default.
- W4387432317 created "2023-10-09" @default.
- W4387432317 creator A5046914687 @default.
- W4387432317 creator A5052682104 @default.
- W4387432317 creator A5076768386 @default.
- W4387432317 creator A5078251883 @default.
- W4387432317 creator A5088683171 @default.
- W4387432317 date "2023-10-01" @default.
- W4387432317 modified "2023-10-11" @default.
- W4387432317 title "Transformer-based framework for alert aggregation and attack prediction in a multi-stage attack" @default.
- W4387432317 cites W1977264295 @default.
- W4387432317 cites W2141254179 @default.
- W4387432317 cites W2170924378 @default.
- W4387432317 cites W2921941248 @default.
- W4387432317 cites W3004832009 @default.
- W4387432317 cites W3033106892 @default.
- W4387432317 cites W3039222472 @default.
- W4387432317 cites W3083012366 @default.
- W4387432317 cites W3092331527 @default.
- W4387432317 cites W3095234215 @default.
- W4387432317 cites W3202760407 @default.
- W4387432317 cites W4206266728 @default.
- W4387432317 cites W4220983750 @default.
- W4387432317 doi "https://doi.org/10.1016/j.cose.2023.103533" @default.
- W4387432317 hasPublicationYear "2023" @default.
- W4387432317 type Work @default.
- W4387432317 citedByCount "0" @default.
- W4387432317 crossrefType "journal-article" @default.
- W4387432317 hasAuthorship W4387432317A5046914687 @default.
- W4387432317 hasAuthorship W4387432317A5052682104 @default.
- W4387432317 hasAuthorship W4387432317A5076768386 @default.
- W4387432317 hasAuthorship W4387432317A5078251883 @default.
- W4387432317 hasAuthorship W4387432317A5088683171 @default.
- W4387432317 hasConcept C103278499 @default.
- W4387432317 hasConcept C115961682 @default.
- W4387432317 hasConcept C121332964 @default.
- W4387432317 hasConcept C124101348 @default.
- W4387432317 hasConcept C154945302 @default.
- W4387432317 hasConcept C159985019 @default.
- W4387432317 hasConcept C165801399 @default.
- W4387432317 hasConcept C192562407 @default.
- W4387432317 hasConcept C201307755 @default.
- W4387432317 hasConcept C38652104 @default.
- W4387432317 hasConcept C41008148 @default.
- W4387432317 hasConcept C4679612 @default.
- W4387432317 hasConcept C62520636 @default.
- W4387432317 hasConcept C65856478 @default.
- W4387432317 hasConcept C66322947 @default.
- W4387432317 hasConceptScore W4387432317C103278499 @default.
- W4387432317 hasConceptScore W4387432317C115961682 @default.
- W4387432317 hasConceptScore W4387432317C121332964 @default.
- W4387432317 hasConceptScore W4387432317C124101348 @default.
- W4387432317 hasConceptScore W4387432317C154945302 @default.
- W4387432317 hasConceptScore W4387432317C159985019 @default.
- W4387432317 hasConceptScore W4387432317C165801399 @default.
- W4387432317 hasConceptScore W4387432317C192562407 @default.
- W4387432317 hasConceptScore W4387432317C201307755 @default.
- W4387432317 hasConceptScore W4387432317C38652104 @default.
- W4387432317 hasConceptScore W4387432317C41008148 @default.
- W4387432317 hasConceptScore W4387432317C4679612 @default.
- W4387432317 hasConceptScore W4387432317C62520636 @default.
- W4387432317 hasConceptScore W4387432317C65856478 @default.
- W4387432317 hasConceptScore W4387432317C66322947 @default.
- W4387432317 hasFunder F4320321001 @default.
- W4387432317 hasLocation W43874323171 @default.
- W4387432317 hasOpenAccess W4387432317 @default.
- W4387432317 hasPrimaryLocation W43874323171 @default.
- W4387432317 hasRelatedWork W1828018529 @default.
- W4387432317 hasRelatedWork W2143949933 @default.
- W4387432317 hasRelatedWork W2358245908 @default.
- W4387432317 hasRelatedWork W2391425229 @default.
- W4387432317 hasRelatedWork W2605817989 @default.
- W4387432317 hasRelatedWork W2914662937 @default.
- W4387432317 hasRelatedWork W2962870788 @default.
- W4387432317 hasRelatedWork W3011582023 @default.
- W4387432317 hasRelatedWork W3130770611 @default.
- W4387432317 hasRelatedWork W4386108466 @default.
- W4387432317 isParatext "false" @default.
- W4387432317 isRetracted "false" @default.
- W4387432317 workType "article" @default.