FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313427720> ?p ?o ?g. }

• W4313427720 endingPage "123" @default.
• W4313427720 startingPage "123" @default.
• W4313427720 abstract "Malware is one of the most frequent cyberattacks, with its prevalence growing daily across the network. Malware traffic is always asymmetrical compared to benign traffic, which is always symmetrical. Fortunately, there are many artificial intelligence techniques that can be used to detect malware and distinguish it from normal activities. However, the problem of dealing with large and high-dimensional data has not been addressed enough. In this paper, a high-performance malware detection system using deep learning and feature selection methodologies is introduced. Two different malware datasets are used to detect malware and differentiate it from benign activities. The datasets are preprocessed, and then correlation-based feature selection is applied to produce different feature-selected datasets. The dense and LSTM-based deep learning models are then trained using these different versions of feature-selected datasets. The trained models are then evaluated using many performance metrics (accuracy, precision, recall, and F1-score). The results indicate that some feature-selected scenarios preserve almost the same original dataset performance. The different nature of the used datasets shows different levels of performance changes. For the first dataset, the feature reduction ratios range from 18.18% to 42.42%, with performance degradation of 0.07% to 5.84%, respectively. The second dataset reduction rate is between 81.77% and 93.5%, with performance degradation of 3.79% and 9.44%, respectively." @default.
• W4313427720 created "2023-01-06" @default.
• W4313427720 creator A5010107580 @default.
• W4313427720 creator A5017572786 @default.
• W4313427720 creator A5029617840 @default.
• W4313427720 creator A5032191277 @default.
• W4313427720 creator A5046913596 @default.
• W4313427720 creator A5062826520 @default.
• W4313427720 creator A5080382393 @default.
• W4313427720 date "2023-01-01" @default.
• W4313427720 modified "2023-10-18" @default.
• W4313427720 title "Malware Detection Using Deep Learning and Correlation-Based Feature Selection" @default.
• W4313427720 cites W1584308190 @default.
• W4313427720 cites W2092285654 @default.
• W4313427720 cites W2602732024 @default.
• W4313427720 cites W2753669113 @default.
• W4313427720 cites W2778638786 @default.
• W4313427720 cites W2782290149 @default.
• W4313427720 cites W2903488155 @default.
• W4313427720 cites W2919139886 @default.
• W4313427720 cites W2931858311 @default.
• W4313427720 cites W2971810124 @default.
• W4313427720 cites W2992630464 @default.
• W4313427720 cites W3002277530 @default.
• W4313427720 cites W3007192161 @default.
• W4313427720 cites W3019514289 @default.
• W4313427720 cites W3025424853 @default.
• W4313427720 cites W3026718724 @default.
• W4313427720 cites W3070581385 @default.
• W4313427720 cites W3095139103 @default.
• W4313427720 cites W3106196258 @default.
• W4313427720 cites W3112311055 @default.
• W4313427720 cites W3127411523 @default.
• W4313427720 cites W3176474152 @default.
• W4313427720 cites W3200468661 @default.
• W4313427720 cites W4212862390 @default.
• W4313427720 cites W4283819075 @default.
• W4313427720 cites W4293093937 @default.
• W4313427720 cites W4304761908 @default.
• W4313427720 cites W4308206417 @default.
• W4313427720 doi "https://doi.org/10.3390/sym15010123" @default.
• W4313427720 hasPublicationYear "2023" @default.
• W4313427720 type Work @default.
• W4313427720 citedByCount "25" @default.
• W4313427720 countsByYear W43134277202023 @default.
• W4313427720 crossrefType "journal-article" @default.
• W4313427720 hasAuthorship W4313427720A5010107580 @default.
• W4313427720 hasAuthorship W4313427720A5017572786 @default.
• W4313427720 hasAuthorship W4313427720A5029617840 @default.
• W4313427720 hasAuthorship W4313427720A5032191277 @default.
• W4313427720 hasAuthorship W4313427720A5046913596 @default.
• W4313427720 hasAuthorship W4313427720A5062826520 @default.
• W4313427720 hasAuthorship W4313427720A5080382393 @default.
• W4313427720 hasBestOaLocation W43134277201 @default.
• W4313427720 hasConcept C108583219 @default.
• W4313427720 hasConcept C117220453 @default.
• W4313427720 hasConcept C119857082 @default.
• W4313427720 hasConcept C124101348 @default.
• W4313427720 hasConcept C138885662 @default.
• W4313427720 hasConcept C148483581 @default.
• W4313427720 hasConcept C153180895 @default.
• W4313427720 hasConcept C154945302 @default.
• W4313427720 hasConcept C2524010 @default.
• W4313427720 hasConcept C2776401178 @default.
• W4313427720 hasConcept C33923547 @default.
• W4313427720 hasConcept C38652104 @default.
• W4313427720 hasConcept C41008148 @default.
• W4313427720 hasConcept C41895202 @default.
• W4313427720 hasConcept C541664917 @default.
• W4313427720 hasConceptScore W4313427720C108583219 @default.
• W4313427720 hasConceptScore W4313427720C117220453 @default.
• W4313427720 hasConceptScore W4313427720C119857082 @default.
• W4313427720 hasConceptScore W4313427720C124101348 @default.
• W4313427720 hasConceptScore W4313427720C138885662 @default.
• W4313427720 hasConceptScore W4313427720C148483581 @default.
• W4313427720 hasConceptScore W4313427720C153180895 @default.
• W4313427720 hasConceptScore W4313427720C154945302 @default.
• W4313427720 hasConceptScore W4313427720C2524010 @default.
• W4313427720 hasConceptScore W4313427720C2776401178 @default.
• W4313427720 hasConceptScore W4313427720C33923547 @default.
• W4313427720 hasConceptScore W4313427720C38652104 @default.
• W4313427720 hasConceptScore W4313427720C41008148 @default.
• W4313427720 hasConceptScore W4313427720C41895202 @default.
• W4313427720 hasConceptScore W4313427720C541664917 @default.
• W4313427720 hasFunder F4320322699 @default.
• W4313427720 hasIssue "1" @default.
• W4313427720 hasLocation W43134277201 @default.
• W4313427720 hasLocation W43134277202 @default.
• W4313427720 hasOpenAccess W4313427720 @default.
• W4313427720 hasPrimaryLocation W43134277201 @default.
• W4313427720 hasRelatedWork W2942650110 @default.
• W4313427720 hasRelatedWork W2968586400 @default.
• W4313427720 hasRelatedWork W3014300295 @default.
• W4313427720 hasRelatedWork W4223943233 @default.
• W4313427720 hasRelatedWork W4225161397 @default.
• W4313427720 hasRelatedWork W4309045103 @default.
• W4313427720 hasRelatedWork W4312200629 @default.
• W4313427720 hasRelatedWork W4316087074 @default.

• next