Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385555957> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W4385555957 endingPage "463" @default.
- W4385555957 startingPage "451" @default.
- W4385555957 abstract "With the growth in network usage, there has been a corresponding growth in the nefarious exploitation of this technology. A wide array of techniques is now available that can be used to deal with cyberattacks, and one of them is network intrusion detection. Artificial Intelligence (AI) and Machine Learning (ML) techniques have extensively been employed to identify network anomalies. This paper provides an effective technique to evaluate the classification performance of a deep-learning-based Feedforward Neural Network (FFNN) classifier. A small feature vector is used to detect network traffic anomalies in the UNSW-NB15 and NSL-KDD datasets. The results show that a large feature set can have redundant and unuseful features, and it requires high computation power. The proposed technique exploits a small feature vector and achieves better classification accuracy." @default.
- W4385555957 created "2023-08-04" @default.
- W4385555957 creator A5000146099 @default.
- W4385555957 creator A5005972928 @default.
- W4385555957 creator A5079514173 @default.
- W4385555957 date "2023-08-03" @default.
- W4385555957 modified "2023-09-29" @default.
- W4385555957 title "A Deep Learning Approach for Network Intrusion Detection Using a Small Features Vector" @default.
- W4385555957 cites W2087016914 @default.
- W4385555957 cites W2099940443 @default.
- W4385555957 cites W2296509296 @default.
- W4385555957 cites W2334853001 @default.
- W4385555957 cites W2560162835 @default.
- W4385555957 cites W2783741806 @default.
- W4385555957 cites W2891214000 @default.
- W4385555957 cites W2899918705 @default.
- W4385555957 cites W2926701059 @default.
- W4385555957 cites W3008195198 @default.
- W4385555957 cites W3019959491 @default.
- W4385555957 cites W3111118183 @default.
- W4385555957 cites W3184976423 @default.
- W4385555957 cites W4210793970 @default.
- W4385555957 doi "https://doi.org/10.3390/jcp3030023" @default.
- W4385555957 hasPublicationYear "2023" @default.
- W4385555957 type Work @default.
- W4385555957 citedByCount "0" @default.
- W4385555957 crossrefType "journal-article" @default.
- W4385555957 hasAuthorship W4385555957A5000146099 @default.
- W4385555957 hasAuthorship W4385555957A5005972928 @default.
- W4385555957 hasAuthorship W4385555957A5079514173 @default.
- W4385555957 hasBestOaLocation W43855559571 @default.
- W4385555957 hasConcept C108583219 @default.
- W4385555957 hasConcept C11413529 @default.
- W4385555957 hasConcept C119857082 @default.
- W4385555957 hasConcept C12267149 @default.
- W4385555957 hasConcept C124101348 @default.
- W4385555957 hasConcept C127413603 @default.
- W4385555957 hasConcept C133731056 @default.
- W4385555957 hasConcept C138885662 @default.
- W4385555957 hasConcept C153180895 @default.
- W4385555957 hasConcept C154945302 @default.
- W4385555957 hasConcept C165696696 @default.
- W4385555957 hasConcept C2776401178 @default.
- W4385555957 hasConcept C35525427 @default.
- W4385555957 hasConcept C38652104 @default.
- W4385555957 hasConcept C38858127 @default.
- W4385555957 hasConcept C41008148 @default.
- W4385555957 hasConcept C41895202 @default.
- W4385555957 hasConcept C45374587 @default.
- W4385555957 hasConcept C47702885 @default.
- W4385555957 hasConcept C50644808 @default.
- W4385555957 hasConcept C83665646 @default.
- W4385555957 hasConcept C95623464 @default.
- W4385555957 hasConceptScore W4385555957C108583219 @default.
- W4385555957 hasConceptScore W4385555957C11413529 @default.
- W4385555957 hasConceptScore W4385555957C119857082 @default.
- W4385555957 hasConceptScore W4385555957C12267149 @default.
- W4385555957 hasConceptScore W4385555957C124101348 @default.
- W4385555957 hasConceptScore W4385555957C127413603 @default.
- W4385555957 hasConceptScore W4385555957C133731056 @default.
- W4385555957 hasConceptScore W4385555957C138885662 @default.
- W4385555957 hasConceptScore W4385555957C153180895 @default.
- W4385555957 hasConceptScore W4385555957C154945302 @default.
- W4385555957 hasConceptScore W4385555957C165696696 @default.
- W4385555957 hasConceptScore W4385555957C2776401178 @default.
- W4385555957 hasConceptScore W4385555957C35525427 @default.
- W4385555957 hasConceptScore W4385555957C38652104 @default.
- W4385555957 hasConceptScore W4385555957C38858127 @default.
- W4385555957 hasConceptScore W4385555957C41008148 @default.
- W4385555957 hasConceptScore W4385555957C41895202 @default.
- W4385555957 hasConceptScore W4385555957C45374587 @default.
- W4385555957 hasConceptScore W4385555957C47702885 @default.
- W4385555957 hasConceptScore W4385555957C50644808 @default.
- W4385555957 hasConceptScore W4385555957C83665646 @default.
- W4385555957 hasConceptScore W4385555957C95623464 @default.
- W4385555957 hasIssue "3" @default.
- W4385555957 hasLocation W43855559571 @default.
- W4385555957 hasOpenAccess W4385555957 @default.
- W4385555957 hasPrimaryLocation W43855559571 @default.
- W4385555957 hasRelatedWork W2129101332 @default.
- W4385555957 hasRelatedWork W2258992572 @default.
- W4385555957 hasRelatedWork W2359410228 @default.
- W4385555957 hasRelatedWork W2378448154 @default.
- W4385555957 hasRelatedWork W4223943233 @default.
- W4385555957 hasRelatedWork W4312200629 @default.
- W4385555957 hasRelatedWork W4360585206 @default.
- W4385555957 hasRelatedWork W4364306694 @default.
- W4385555957 hasRelatedWork W4380075502 @default.
- W4385555957 hasRelatedWork W2187500075 @default.
- W4385555957 hasVolume "3" @default.
- W4385555957 isParatext "false" @default.
- W4385555957 isRetracted "false" @default.
- W4385555957 workType "article" @default.