Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385320149> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W4385320149 abstract "Abstract In-vehicle network intrusion detection tasks, it is usually necessary to simultaneously meet the requirements of low computational power consumption, real-time response, and high detection accuracy. In response to the class imbalance problem in existing vehicle network anomaly flow detection methods, which leads to longer training convergence time and low detection accuracy, an anomaly flow detection method using GCN-BiLSTM-Attention is proposed. Firstly, Graph Convolutional Networks (GCN) is used to obtain spatial correlations between data streams. Secondly, obtaining the time correlation to predict the next time slice flow matrix by capitalizing the variant Bidirectional Long Short-Term Memory (BiLSTM) network. Last but not least, an attention mechanism is designed for extracting key information from the data stream. The results of experiment prove that the binary classification false positive rate, detection rate, and F1 value of the proposed GCN-BiLSTM-Attention-based anomaly flow detection method on the NSL-KDD dataset are 95.87%, 6.31%, and 94.25%, respectively; The false positive rate, detection rate, and F1 value on the CICID2017 dataset are 6.01%, 94.12%,and 94.36%, respectively. The proposed GCN-BiLSTM-Attention model has exceeded the compared methods in detecting abnormal traffic in the context of the Internet of Vehicles, and it can better preserve local features of traffic data." @default.
- W4385320149 created "2023-07-28" @default.
- W4385320149 creator A5051943315 @default.
- W4385320149 creator A5068768026 @default.
- W4385320149 date "2023-07-26" @default.
- W4385320149 modified "2023-10-18" @default.
- W4385320149 title "An abnormal traffic detection method using GCN-BiLSTM-Attention in the internet of vehicles environment" @default.
- W4385320149 cites W2134490011 @default.
- W4385320149 cites W2591796333 @default.
- W4385320149 cites W2774692958 @default.
- W4385320149 cites W2785726621 @default.
- W4385320149 cites W2800369870 @default.
- W4385320149 cites W2803255133 @default.
- W4385320149 cites W2808420356 @default.
- W4385320149 cites W2892556724 @default.
- W4385320149 cites W2909665293 @default.
- W4385320149 cites W2963045681 @default.
- W4385320149 cites W2963090022 @default.
- W4385320149 cites W2994236448 @default.
- W4385320149 cites W3008695648 @default.
- W4385320149 cites W3035311645 @default.
- W4385320149 cites W3038077692 @default.
- W4385320149 cites W3105750153 @default.
- W4385320149 cites W3117906366 @default.
- W4385320149 cites W3143811525 @default.
- W4385320149 cites W3147019266 @default.
- W4385320149 cites W3185928824 @default.
- W4385320149 cites W3194802500 @default.
- W4385320149 cites W3202274508 @default.
- W4385320149 cites W3217401178 @default.
- W4385320149 cites W4206338773 @default.
- W4385320149 cites W4253461361 @default.
- W4385320149 doi "https://doi.org/10.1186/s13638-023-02274-z" @default.
- W4385320149 hasPublicationYear "2023" @default.
- W4385320149 type Work @default.
- W4385320149 citedByCount "0" @default.
- W4385320149 crossrefType "journal-article" @default.
- W4385320149 hasAuthorship W4385320149A5051943315 @default.
- W4385320149 hasAuthorship W4385320149A5068768026 @default.
- W4385320149 hasBestOaLocation W43853201491 @default.
- W4385320149 hasConcept C124101348 @default.
- W4385320149 hasConcept C153180895 @default.
- W4385320149 hasConcept C154945302 @default.
- W4385320149 hasConcept C2993807640 @default.
- W4385320149 hasConcept C35525427 @default.
- W4385320149 hasConcept C41008148 @default.
- W4385320149 hasConcept C739882 @default.
- W4385320149 hasConcept C95922358 @default.
- W4385320149 hasConceptScore W4385320149C124101348 @default.
- W4385320149 hasConceptScore W4385320149C153180895 @default.
- W4385320149 hasConceptScore W4385320149C154945302 @default.
- W4385320149 hasConceptScore W4385320149C2993807640 @default.
- W4385320149 hasConceptScore W4385320149C35525427 @default.
- W4385320149 hasConceptScore W4385320149C41008148 @default.
- W4385320149 hasConceptScore W4385320149C739882 @default.
- W4385320149 hasConceptScore W4385320149C95922358 @default.
- W4385320149 hasIssue "1" @default.
- W4385320149 hasLocation W43853201491 @default.
- W4385320149 hasOpenAccess W4385320149 @default.
- W4385320149 hasPrimaryLocation W43853201491 @default.
- W4385320149 hasRelatedWork W1516902003 @default.
- W4385320149 hasRelatedWork W2076520961 @default.
- W4385320149 hasRelatedWork W2141254179 @default.
- W4385320149 hasRelatedWork W2355809385 @default.
- W4385320149 hasRelatedWork W2363105058 @default.
- W4385320149 hasRelatedWork W2364419519 @default.
- W4385320149 hasRelatedWork W2390910196 @default.
- W4385320149 hasRelatedWork W2982280075 @default.
- W4385320149 hasRelatedWork W3044732725 @default.
- W4385320149 hasRelatedWork W4235359700 @default.
- W4385320149 hasVolume "2023" @default.
- W4385320149 isParatext "false" @default.
- W4385320149 isRetracted "false" @default.
- W4385320149 workType "article" @default.