Matches in SemOpenAlex for { <https://semopenalex.org/work/W3147148047> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W3147148047 endingPage "15" @default.
- W3147148047 startingPage "10" @default.
- W3147148047 abstract "Machine learning has a powerful potential for performing the template attack(TA) of cryptographic device. To improve the accuracy and time consuming of electromagnetic template attack(ETA), a multi-class directed acyclic graph support vector machine(DAGSVM) method is proposed to predict the Hamming weight of the key. The method needs to generate K(K ? 1)/2 binary support vector machine(SVM) classifiers and realizes the K-class prediction using a rooted binary directed acyclic graph(DAG) testing model. Further, particle swarm optimization(PSO) is used for optimal selection of DAGSVM model parameters to improve the performance of DAGSVM. By exploiting the electromagnetic emanations captured while a chip was implementing the RC4 algorithm in software, the computation complexity and performance of several multi-class machine learning methods, such as DAGSVM, one-versus-one(OVO)SVM, one-versus-all(OVA)SVM, Probabilistic neural networks(PNN), K-means clustering and fuzzy neural network(FNN) are investigated. In the same scenario, the highest classification accuracy of Hamming weight for the key reached 100%, 95.33%, 85%, 74%, 49.67% and 38% for DAGSVM, OVOSVM, OVASVM, PNN, K-means and FNN, respectively. The experiment results demonstrate the proposed model performs higher predictive accuracy and faster convergence speed." @default.
- W3147148047 created "2021-04-13" @default.
- W3147148047 creator A5001978013 @default.
- W3147148047 creator A5009235218 @default.
- W3147148047 creator A5015299274 @default.
- W3147148047 creator A5016092570 @default.
- W3147148047 creator A5050037024 @default.
- W3147148047 creator A5053780153 @default.
- W3147148047 creator A5054365930 @default.
- W3147148047 creator A5071673546 @default.
- W3147148047 creator A5088198453 @default.
- W3147148047 date "2015-01-01" @default.
- W3147148047 modified "2023-10-12" @default.
- W3147148047 title "Electromagnetic side-channel attack based on PSO directed acyclic graph SVM" @default.
- W3147148047 hasPublicationYear "2015" @default.
- W3147148047 type Work @default.
- W3147148047 sameAs 3147148047 @default.
- W3147148047 citedByCount "0" @default.
- W3147148047 crossrefType "journal-article" @default.
- W3147148047 hasAuthorship W3147148047A5001978013 @default.
- W3147148047 hasAuthorship W3147148047A5009235218 @default.
- W3147148047 hasAuthorship W3147148047A5015299274 @default.
- W3147148047 hasAuthorship W3147148047A5016092570 @default.
- W3147148047 hasAuthorship W3147148047A5050037024 @default.
- W3147148047 hasAuthorship W3147148047A5053780153 @default.
- W3147148047 hasAuthorship W3147148047A5054365930 @default.
- W3147148047 hasAuthorship W3147148047A5071673546 @default.
- W3147148047 hasAuthorship W3147148047A5088198453 @default.
- W3147148047 hasConcept C11413529 @default.
- W3147148047 hasConcept C119857082 @default.
- W3147148047 hasConcept C12267149 @default.
- W3147148047 hasConcept C154945302 @default.
- W3147148047 hasConcept C193319292 @default.
- W3147148047 hasConcept C41008148 @default.
- W3147148047 hasConcept C50644808 @default.
- W3147148047 hasConcept C74197172 @default.
- W3147148047 hasConcept C85617194 @default.
- W3147148047 hasConceptScore W3147148047C11413529 @default.
- W3147148047 hasConceptScore W3147148047C119857082 @default.
- W3147148047 hasConceptScore W3147148047C12267149 @default.
- W3147148047 hasConceptScore W3147148047C154945302 @default.
- W3147148047 hasConceptScore W3147148047C193319292 @default.
- W3147148047 hasConceptScore W3147148047C41008148 @default.
- W3147148047 hasConceptScore W3147148047C50644808 @default.
- W3147148047 hasConceptScore W3147148047C74197172 @default.
- W3147148047 hasConceptScore W3147148047C85617194 @default.
- W3147148047 hasIssue "5" @default.
- W3147148047 hasLocation W31471480471 @default.
- W3147148047 hasOpenAccess W3147148047 @default.
- W3147148047 hasPrimaryLocation W31471480471 @default.
- W3147148047 hasRelatedWork W1605176376 @default.
- W3147148047 hasRelatedWork W1633569240 @default.
- W3147148047 hasRelatedWork W1884732276 @default.
- W3147148047 hasRelatedWork W1991405589 @default.
- W3147148047 hasRelatedWork W1993570134 @default.
- W3147148047 hasRelatedWork W1996409268 @default.
- W3147148047 hasRelatedWork W2058255172 @default.
- W3147148047 hasRelatedWork W2068251505 @default.
- W3147148047 hasRelatedWork W2104539076 @default.
- W3147148047 hasRelatedWork W2138963285 @default.
- W3147148047 hasRelatedWork W2146854207 @default.
- W3147148047 hasRelatedWork W2147643163 @default.
- W3147148047 hasRelatedWork W2167139585 @default.
- W3147148047 hasRelatedWork W2238524642 @default.
- W3147148047 hasRelatedWork W2242335579 @default.
- W3147148047 hasRelatedWork W2312981168 @default.
- W3147148047 hasRelatedWork W2351525394 @default.
- W3147148047 hasRelatedWork W2368231290 @default.
- W3147148047 hasRelatedWork W2372987805 @default.
- W3147148047 hasRelatedWork W2471778542 @default.
- W3147148047 isParatext "false" @default.
- W3147148047 isRetracted "false" @default.
- W3147148047 magId "3147148047" @default.
- W3147148047 workType "article" @default.