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Enhancing IoT intrusion detection system with modified E-Gr..:
Mirlashari, Mahsa
;
Rizvi, Syed Afzal Murtaza
International Journal of Information Technology. 16 (2024) 4 - p. 2705-2713 , 2024
Link:
https://doi.org/10.1007/s41870-024-01746-9
RT Journal T1 <Title>Enhancing IoT intrusion detection system with modified E-GraphSAGE: a graph neural network approach</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s41870-024-01746-9&Exemplar=1&LAN=DE A1 Mirlashari, Mahsa A1 Rizvi, Syed Afzal Murtaza PB Springer Science and Business Media LLC YR 2024 SN 2511-2104 SN 2511-2112 JF International Journal of Information Technology VO 16 IS 4 SP 2705 OP 2713 LK http://dx.doi.org/https://doi.org/10.1007/s41870-024-01746-9 DO https://doi.org/10.1007/s41870-024-01746-9 SF ELIB - SuUB Bremen
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