Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385396478> ?p ?o ?g. }
- W4385396478 abstract "Abstract Modern computer networks' increasing complexity and scale need serious attention towards network anomaly detection. Software‐defined networking (SDN) and graph neural networks (GNN) have emerged as promising approaches for anomaly detection due to their ability to capture dynamic network behavior and learn complex patterns from large‐scale network data. The amalgamation of SDN and GNN for network anomaly detection presents promising opportunities for improving the accuracy and efficiency of network anomaly detection. This paper focuses on various trends, issues, and challenges by integrating GNN on the top of SDN for network anomaly detection. The article highlights the advantages of using SDN for providing fine‐grained control and programmability in network monitoring. At the same time, GNN can model network behavior as a graph and learn representations from graph‐structured data. The authors also discuss the limitations of traditional anomaly detection methods in SDN, such as rule‐based approaches, and the potential of GNN to overcome these limitations by leveraging their ability to capture non‐linear and dynamic patterns in network data. This paper also presents a case study of DoS attack detection using SDN. The result shows that SDN based approach helps to detect attacks with an accuracy of 97% with future research directions." @default.
- W4385396478 created "2023-07-31" @default.
- W4385396478 creator A5018130351 @default.
- W4385396478 creator A5020399494 @default.
- W4385396478 creator A5039637627 @default.
- W4385396478 creator A5056113902 @default.
- W4385396478 creator A5089077811 @default.
- W4385396478 creator A5092570435 @default.
- W4385396478 date "2023-07-30" @default.
- W4385396478 modified "2023-09-27" @default.
- W4385396478 title "Unleashing the power of SDN and GNN for network anomaly detection: State‐of‐the‐art, challenges, and future directions" @default.
- W4385396478 cites W1966809779 @default.
- W4385396478 cites W2007111180 @default.
- W4385396478 cites W2067453331 @default.
- W4385396478 cites W2099384706 @default.
- W4385396478 cites W2112700013 @default.
- W4385396478 cites W2125560635 @default.
- W4385396478 cites W2278186031 @default.
- W4385396478 cites W2557450880 @default.
- W4385396478 cites W2558460151 @default.
- W4385396478 cites W2596049410 @default.
- W4385396478 cites W2766312160 @default.
- W4385396478 cites W2774705049 @default.
- W4385396478 cites W2776074343 @default.
- W4385396478 cites W2791878747 @default.
- W4385396478 cites W2796013264 @default.
- W4385396478 cites W2799843691 @default.
- W4385396478 cites W2810550035 @default.
- W4385396478 cites W2900355873 @default.
- W4385396478 cites W2900633536 @default.
- W4385396478 cites W2901484150 @default.
- W4385396478 cites W2911747218 @default.
- W4385396478 cites W2913497771 @default.
- W4385396478 cites W2950250245 @default.
- W4385396478 cites W2950540448 @default.
- W4385396478 cites W2958489519 @default.
- W4385396478 cites W2980013009 @default.
- W4385396478 cites W2982326243 @default.
- W4385396478 cites W2992626202 @default.
- W4385396478 cites W2995496823 @default.
- W4385396478 cites W2996806689 @default.
- W4385396478 cites W3003546983 @default.
- W4385396478 cites W3013575258 @default.
- W4385396478 cites W3015246755 @default.
- W4385396478 cites W3015471529 @default.
- W4385396478 cites W3032931441 @default.
- W4385396478 cites W3036749504 @default.
- W4385396478 cites W3040789807 @default.
- W4385396478 cites W3047940505 @default.
- W4385396478 cites W3082341000 @default.
- W4385396478 cites W3106379731 @default.
- W4385396478 cites W3115003633 @default.
- W4385396478 cites W3152893301 @default.
- W4385396478 cites W3160715410 @default.
- W4385396478 cites W3165574415 @default.
- W4385396478 cites W3175831744 @default.
- W4385396478 cites W3199050192 @default.
- W4385396478 cites W3213692590 @default.
- W4385396478 cites W4214699222 @default.
- W4385396478 cites W4247369935 @default.
- W4385396478 cites W4294892204 @default.
- W4385396478 cites W4309197882 @default.
- W4385396478 cites W4309293990 @default.
- W4385396478 cites W4313562073 @default.
- W4385396478 doi "https://doi.org/10.1002/spy2.337" @default.
- W4385396478 hasPublicationYear "2023" @default.
- W4385396478 type Work @default.
- W4385396478 citedByCount "0" @default.
- W4385396478 crossrefType "journal-article" @default.
- W4385396478 hasAuthorship W4385396478A5018130351 @default.
- W4385396478 hasAuthorship W4385396478A5020399494 @default.
- W4385396478 hasAuthorship W4385396478A5039637627 @default.
- W4385396478 hasAuthorship W4385396478A5056113902 @default.
- W4385396478 hasAuthorship W4385396478A5089077811 @default.
- W4385396478 hasAuthorship W4385396478A5092570435 @default.
- W4385396478 hasConcept C120314980 @default.
- W4385396478 hasConcept C121332964 @default.
- W4385396478 hasConcept C124101348 @default.
- W4385396478 hasConcept C12997251 @default.
- W4385396478 hasConcept C132525143 @default.
- W4385396478 hasConcept C26873012 @default.
- W4385396478 hasConcept C41008148 @default.
- W4385396478 hasConcept C739882 @default.
- W4385396478 hasConcept C77270119 @default.
- W4385396478 hasConcept C80444323 @default.
- W4385396478 hasConceptScore W4385396478C120314980 @default.
- W4385396478 hasConceptScore W4385396478C121332964 @default.
- W4385396478 hasConceptScore W4385396478C124101348 @default.
- W4385396478 hasConceptScore W4385396478C12997251 @default.
- W4385396478 hasConceptScore W4385396478C132525143 @default.
- W4385396478 hasConceptScore W4385396478C26873012 @default.
- W4385396478 hasConceptScore W4385396478C41008148 @default.
- W4385396478 hasConceptScore W4385396478C739882 @default.
- W4385396478 hasConceptScore W4385396478C77270119 @default.
- W4385396478 hasConceptScore W4385396478C80444323 @default.
- W4385396478 hasLocation W43853964781 @default.
- W4385396478 hasOpenAccess W4385396478 @default.
- W4385396478 hasPrimaryLocation W43853964781 @default.
- W4385396478 hasRelatedWork W2042251007 @default.
- W4385396478 hasRelatedWork W2063729131 @default.