Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912342920> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2912342920 endingPage "533" @default.
- W2912342920 startingPage "518" @default.
- W2912342920 abstract "Today, major corporations and government organizations must face the reality that they will be hacked by malicious actors. In this paper, we consider the case of defending enterprises that have been successfully hacked by imposing additional a posteriori costs on the attacker. Our idea is simple: for every real document $d$ d , we develop methods to automatically generate a set $Fake(d)$ F a k e ( d ) of fake documents that are very similar to $d$ d . The attacker who steals documents must wade through a large number of documents in detail in order to separate the real one from the fakes. Our $mathsf {FORGE}$ FORGE system focuses on technical documents (e.g., engineering/design documents) and involves three major innovations. First, we represent the semantic content of documents via multi-layer graphs (MLGs). Second, we propose a novel concept of “meta-centrality” for multi-layer graphs. A meta-centrality (MC) measure takes a classical centrality measure (for ordinary graphs, not MLGs) as input, and generalizes it to MLGs. The idea is to generate fake documents by replacing concepts on the basis of meta-centrality with related concepts according to an ontology. Our third innovation is to show that the problem of generating the set $Fake(d)$ F a k e ( d ) of fakes can be viewed as an optimization problem. We prove that this problem is NP-complete and then develop efficient heuristics to solve it in practice. We ran detailed experiments on two datasets: one a panel of 20 human subjects, another with a panel of 10. Our results show that $mathsf {FORGE}$ FORGE generates highly believable fakes." @default.
- W2912342920 created "2019-02-21" @default.
- W2912342920 creator A5010727123 @default.
- W2912342920 creator A5011642353 @default.
- W2912342920 creator A5046521217 @default.
- W2912342920 creator A5053223081 @default.
- W2912342920 creator A5067863367 @default.
- W2912342920 creator A5080190737 @default.
- W2912342920 date "2021-03-01" @default.
- W2912342920 modified "2023-10-18" @default.
- W2912342920 title "A Fake Online Repository Generation Engine for Cyber Deception" @default.
- W2912342920 cites W132347231 @default.
- W2912342920 cites W1536598138 @default.
- W2912342920 cites W1659833910 @default.
- W2912342920 cites W1700658463 @default.
- W2912342920 cites W180977049 @default.
- W2912342920 cites W1892798954 @default.
- W2912342920 cites W1965369505 @default.
- W2912342920 cites W1977736702 @default.
- W2912342920 cites W1996665163 @default.
- W2912342920 cites W2059861509 @default.
- W2912342920 cites W2088293528 @default.
- W2912342920 cites W2130778370 @default.
- W2912342920 cites W2137079713 @default.
- W2912342920 cites W2143917438 @default.
- W2912342920 cites W2161125296 @default.
- W2912342920 cites W2882319491 @default.
- W2912342920 cites W3037826211 @default.
- W2912342920 cites W4238452917 @default.
- W2912342920 doi "https://doi.org/10.1109/tdsc.2019.2898661" @default.
- W2912342920 hasPublicationYear "2021" @default.
- W2912342920 type Work @default.
- W2912342920 sameAs 2912342920 @default.
- W2912342920 citedByCount "25" @default.
- W2912342920 countsByYear W29123429202020 @default.
- W2912342920 countsByYear W29123429202021 @default.
- W2912342920 countsByYear W29123429202022 @default.
- W2912342920 countsByYear W29123429202023 @default.
- W2912342920 crossrefType "journal-article" @default.
- W2912342920 hasAuthorship W2912342920A5010727123 @default.
- W2912342920 hasAuthorship W2912342920A5011642353 @default.
- W2912342920 hasAuthorship W2912342920A5046521217 @default.
- W2912342920 hasAuthorship W2912342920A5053223081 @default.
- W2912342920 hasAuthorship W2912342920A5067863367 @default.
- W2912342920 hasAuthorship W2912342920A5080190737 @default.
- W2912342920 hasConcept C108827166 @default.
- W2912342920 hasConcept C110875604 @default.
- W2912342920 hasConcept C136764020 @default.
- W2912342920 hasConcept C15744967 @default.
- W2912342920 hasConcept C2779267917 @default.
- W2912342920 hasConcept C2779390178 @default.
- W2912342920 hasConcept C38652104 @default.
- W2912342920 hasConcept C41008148 @default.
- W2912342920 hasConcept C77805123 @default.
- W2912342920 hasConceptScore W2912342920C108827166 @default.
- W2912342920 hasConceptScore W2912342920C110875604 @default.
- W2912342920 hasConceptScore W2912342920C136764020 @default.
- W2912342920 hasConceptScore W2912342920C15744967 @default.
- W2912342920 hasConceptScore W2912342920C2779267917 @default.
- W2912342920 hasConceptScore W2912342920C2779390178 @default.
- W2912342920 hasConceptScore W2912342920C38652104 @default.
- W2912342920 hasConceptScore W2912342920C41008148 @default.
- W2912342920 hasConceptScore W2912342920C77805123 @default.
- W2912342920 hasFunder F4320324473 @default.
- W2912342920 hasIssue "2" @default.
- W2912342920 hasLocation W29123429201 @default.
- W2912342920 hasOpenAccess W2912342920 @default.
- W2912342920 hasPrimaryLocation W29123429201 @default.
- W2912342920 hasRelatedWork W2471309620 @default.
- W2912342920 hasRelatedWork W2482199787 @default.
- W2912342920 hasRelatedWork W2502904752 @default.
- W2912342920 hasRelatedWork W2598830519 @default.
- W2912342920 hasRelatedWork W2811393546 @default.
- W2912342920 hasRelatedWork W3004396660 @default.
- W2912342920 hasRelatedWork W4248737742 @default.
- W2912342920 hasRelatedWork W4284963670 @default.
- W2912342920 hasRelatedWork W4311479426 @default.
- W2912342920 hasRelatedWork W2267650038 @default.
- W2912342920 hasVolume "18" @default.
- W2912342920 isParatext "false" @default.
- W2912342920 isRetracted "false" @default.
- W2912342920 magId "2912342920" @default.
- W2912342920 workType "article" @default.