Matches in SemOpenAlex for { <https://semopenalex.org/work/W1971435547> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W1971435547 abstract "Previous chapter Next chapter Full AccessProceedings Proceedings of the 2008 SIAM International Conference on Data Mining (SDM)Preemptive Measures against Malicious Party in Privacy-Preserving Data MiningShuguo Han and Wee Keong NgShuguo Han and Wee Keong Ngpp.375 - 386Chapter DOI:https://doi.org/10.1137/1.9781611972788.34PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAboutAbstract Currently, many privacy-preserving data mining (PPDM) algorithms assume the semi-honest model and/or malicious model of multi-party interaction. However, both models are far from able to fully capture the complexity of events and data interactions among parties in the process of secure data mining. In the paper, we study the problem of security violations when a malicious party provides false data. We identify four privacy vulnerabilities of secure scalar product protocols that underlie many current PPDM algorithms. We propose a general more model of two-party interaction and demonstrate its applicability to securely compute (x1 + y1)(x2 + y2) and (x + y)log2(x + y) where xi and yi are private values held by each party respectively. We show how the proposed model can be used to securely compute four commonly used kernel functions and other common functions. We also propose two necessary conditions and two basic measures that should be adopted in the current malicious model. Previous chapter Next chapter RelatedDetails Published:2008ISBN:978-0-89871-654-2eISBN:978-1-61197-278-8 https://doi.org/10.1137/1.9781611972788Book Series Name:ProceedingsBook Code:PR130Book Pages:1-869" @default.
- W1971435547 created "2016-06-24" @default.
- W1971435547 creator A5008926869 @default.
- W1971435547 creator A5088826504 @default.
- W1971435547 date "2008-04-24" @default.
- W1971435547 modified "2023-09-26" @default.
- W1971435547 title "Preemptive Measures against Malicious Party in Privacy-Preserving Data Mining" @default.
- W1971435547 cites W107524893 @default.
- W1971435547 cites W1488076108 @default.
- W1971435547 cites W1510952750 @default.
- W1971435547 cites W1528076390 @default.
- W1971435547 cites W1574534563 @default.
- W1971435547 cites W1871114411 @default.
- W1971435547 cites W1964366273 @default.
- W1971435547 cites W1970606468 @default.
- W1971435547 cites W1981455414 @default.
- W1971435547 cites W1982146060 @default.
- W1971435547 cites W199752024 @default.
- W1971435547 cites W2009733253 @default.
- W1971435547 cites W2023951105 @default.
- W1971435547 cites W2043417095 @default.
- W1971435547 cites W2088492763 @default.
- W1971435547 cites W2093367651 @default.
- W1971435547 cites W2128906841 @default.
- W1971435547 cites W2132172731 @default.
- W1971435547 cites W2134911742 @default.
- W1971435547 cites W2141625084 @default.
- W1971435547 cites W2145341289 @default.
- W1971435547 cites W2147649629 @default.
- W1971435547 cites W2164409696 @default.
- W1971435547 doi "https://doi.org/10.1137/1.9781611972788.34" @default.
- W1971435547 hasPublicationYear "2008" @default.
- W1971435547 type Work @default.
- W1971435547 sameAs 1971435547 @default.
- W1971435547 citedByCount "7" @default.
- W1971435547 countsByYear W19714355472012 @default.
- W1971435547 countsByYear W19714355472013 @default.
- W1971435547 countsByYear W19714355472014 @default.
- W1971435547 countsByYear W19714355472017 @default.
- W1971435547 crossrefType "proceedings-article" @default.
- W1971435547 hasAuthorship W1971435547A5008926869 @default.
- W1971435547 hasAuthorship W1971435547A5088826504 @default.
- W1971435547 hasConcept C108827166 @default.
- W1971435547 hasConcept C124101348 @default.
- W1971435547 hasConcept C2983583741 @default.
- W1971435547 hasConcept C38652104 @default.
- W1971435547 hasConcept C41008148 @default.
- W1971435547 hasConceptScore W1971435547C108827166 @default.
- W1971435547 hasConceptScore W1971435547C124101348 @default.
- W1971435547 hasConceptScore W1971435547C2983583741 @default.
- W1971435547 hasConceptScore W1971435547C38652104 @default.
- W1971435547 hasConceptScore W1971435547C41008148 @default.
- W1971435547 hasLocation W19714355471 @default.
- W1971435547 hasOpenAccess W1971435547 @default.
- W1971435547 hasPrimaryLocation W19714355471 @default.
- W1971435547 hasRelatedWork W2030496847 @default.
- W1971435547 hasRelatedWork W2272650572 @default.
- W1971435547 hasRelatedWork W2347219288 @default.
- W1971435547 hasRelatedWork W2348097614 @default.
- W1971435547 hasRelatedWork W2354822586 @default.
- W1971435547 hasRelatedWork W2358841807 @default.
- W1971435547 hasRelatedWork W2366221835 @default.
- W1971435547 hasRelatedWork W2743857273 @default.
- W1971435547 hasRelatedWork W2969723784 @default.
- W1971435547 hasRelatedWork W3149424243 @default.
- W1971435547 isParatext "false" @default.
- W1971435547 isRetracted "false" @default.
- W1971435547 magId "1971435547" @default.
- W1971435547 workType "article" @default.