Matches in SemOpenAlex for { <https://semopenalex.org/work/W2136452524> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W2136452524 endingPage "30" @default.
- W2136452524 startingPage "17" @default.
- W2136452524 abstract "The Correlation Power Analysis (CPA) is probably the most used side-channel attack because it seems to fit the power model of most standard CMOS devices and is very efficiently computed. However, the Pearson correlation coefficient used in the CPA measures only linear statistical dependences where the Mutual Information (MI) takes into account both linear and nonlinear dependences. Even if there can be simultaneously large correlation coefficients quantified by the correlation coefficient and weak dependences quantified by the MI, we can expect to get a more profound understanding about interactions from an MI Analysis (MIA). We study methods that improve the non-parametric Probability Density Functions (PDF) in the estimation of the entropies and, in particular, the use of B-spline basis functions as pdf estimators. Our results indicate an improvement of two fold in the number of required samples compared to a classic MI estimation. The B-spline smoothing technique can also be applied to the rencently introduced Cramér-von-Mises test." @default.
- W2136452524 created "2016-06-24" @default.
- W2136452524 creator A5074492497 @default.
- W2136452524 date "2010-01-01" @default.
- W2136452524 modified "2023-09-23" @default.
- W2136452524 title "Efficient Entropy Estimation for Mutual Information Analysis Using B-Splines" @default.
- W2136452524 cites W1562542037 @default.
- W2136452524 cites W1635484243 @default.
- W2136452524 cites W1740609432 @default.
- W2136452524 cites W1862426464 @default.
- W2136452524 cites W2052435632 @default.
- W2136452524 cites W2080722576 @default.
- W2136452524 cites W2092939357 @default.
- W2136452524 cites W2100388692 @default.
- W2136452524 cites W2107839822 @default.
- W2136452524 cites W2113499425 @default.
- W2136452524 cites W2118020555 @default.
- W2136452524 cites W2154909745 @default.
- W2136452524 cites W2162870748 @default.
- W2136452524 cites W2177288330 @default.
- W2136452524 doi "https://doi.org/10.1007/978-3-642-12368-9_2" @default.
- W2136452524 hasPublicationYear "2010" @default.
- W2136452524 type Work @default.
- W2136452524 sameAs 2136452524 @default.
- W2136452524 citedByCount "20" @default.
- W2136452524 countsByYear W21364525242012 @default.
- W2136452524 countsByYear W21364525242013 @default.
- W2136452524 countsByYear W21364525242014 @default.
- W2136452524 countsByYear W21364525242016 @default.
- W2136452524 countsByYear W21364525242021 @default.
- W2136452524 countsByYear W21364525242022 @default.
- W2136452524 countsByYear W21364525242023 @default.
- W2136452524 crossrefType "book-chapter" @default.
- W2136452524 hasAuthorship W2136452524A5074492497 @default.
- W2136452524 hasBestOaLocation W21364525241 @default.
- W2136452524 hasConcept C10390562 @default.
- W2136452524 hasConcept C105795698 @default.
- W2136452524 hasConcept C106301342 @default.
- W2136452524 hasConcept C11413529 @default.
- W2136452524 hasConcept C117251300 @default.
- W2136452524 hasConcept C121332964 @default.
- W2136452524 hasConcept C127413603 @default.
- W2136452524 hasConcept C134306372 @default.
- W2136452524 hasConcept C152139883 @default.
- W2136452524 hasConcept C154945302 @default.
- W2136452524 hasConcept C158622935 @default.
- W2136452524 hasConcept C15945459 @default.
- W2136452524 hasConcept C185429906 @default.
- W2136452524 hasConcept C2780092901 @default.
- W2136452524 hasConcept C28826006 @default.
- W2136452524 hasConcept C33923547 @default.
- W2136452524 hasConcept C3770464 @default.
- W2136452524 hasConcept C41008148 @default.
- W2136452524 hasConcept C62520636 @default.
- W2136452524 hasConcept C66938386 @default.
- W2136452524 hasConceptScore W2136452524C10390562 @default.
- W2136452524 hasConceptScore W2136452524C105795698 @default.
- W2136452524 hasConceptScore W2136452524C106301342 @default.
- W2136452524 hasConceptScore W2136452524C11413529 @default.
- W2136452524 hasConceptScore W2136452524C117251300 @default.
- W2136452524 hasConceptScore W2136452524C121332964 @default.
- W2136452524 hasConceptScore W2136452524C127413603 @default.
- W2136452524 hasConceptScore W2136452524C134306372 @default.
- W2136452524 hasConceptScore W2136452524C152139883 @default.
- W2136452524 hasConceptScore W2136452524C154945302 @default.
- W2136452524 hasConceptScore W2136452524C158622935 @default.
- W2136452524 hasConceptScore W2136452524C15945459 @default.
- W2136452524 hasConceptScore W2136452524C185429906 @default.
- W2136452524 hasConceptScore W2136452524C2780092901 @default.
- W2136452524 hasConceptScore W2136452524C28826006 @default.
- W2136452524 hasConceptScore W2136452524C33923547 @default.
- W2136452524 hasConceptScore W2136452524C3770464 @default.
- W2136452524 hasConceptScore W2136452524C41008148 @default.
- W2136452524 hasConceptScore W2136452524C62520636 @default.
- W2136452524 hasConceptScore W2136452524C66938386 @default.
- W2136452524 hasLocation W21364525241 @default.
- W2136452524 hasLocation W21364525242 @default.
- W2136452524 hasLocation W21364525243 @default.
- W2136452524 hasLocation W21364525244 @default.
- W2136452524 hasLocation W21364525245 @default.
- W2136452524 hasOpenAccess W2136452524 @default.
- W2136452524 hasPrimaryLocation W21364525241 @default.
- W2136452524 hasRelatedWork W2043765967 @default.
- W2136452524 hasRelatedWork W2075359649 @default.
- W2136452524 hasRelatedWork W2951535072 @default.
- W2136452524 hasRelatedWork W3012954258 @default.
- W2136452524 hasRelatedWork W3022172246 @default.
- W2136452524 hasRelatedWork W3046773192 @default.
- W2136452524 hasRelatedWork W3122403044 @default.
- W2136452524 hasRelatedWork W3125423512 @default.
- W2136452524 hasRelatedWork W4213124806 @default.
- W2136452524 hasRelatedWork W4303104914 @default.
- W2136452524 isParatext "false" @default.
- W2136452524 isRetracted "false" @default.
- W2136452524 magId "2136452524" @default.
- W2136452524 workType "book-chapter" @default.