Работы, цитирующие эту работу

Работ: 2

Работа: Network anomaly detection and performance evaluation of Convolutional Neural Networks on UNSW-NB15 dataset

1. SHO-Xception: An Optimized Deep Learning Framework for Intelligent Intrusion Detection in Network Environments

   D. Paul, Santosh Appachu Devanira Poovaiah, Baxtigul Nurullayeva +3

   СтатьяNetwork Security and Intrusion Detection2025Цитирований: 3

   ABIABI:AkademIndex/openalex/2025.article.001142

2. Intelligent Intrusion Detection System Using NSOA and Hybrid ECA-LiteCBNet Model for Cyber Threat Mitigation

   P Rekha, Selva Mary G, Srujana Thala +3

   ПрепринтNetwork Security and Intrusion DetectionResearch Square2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.preprint.000266