Работы, цитирующие эту работу

Работ: 5

Работа: Deep learning approach for Network Intrusion Detection in Software Defined Networking

1. Leveraging the 5G architecture to mitigate amplification attacks

   Matteo Repetto, Alessandro Carrega, Guerino Lamanna +5

   СтатьяNetwork Security and Intrusion Detection2021Цитирований: 1

   ABIABI:AkademIndex/openalex/2026.other.398319

2. RETRACTED: An intrusion identification and prevention for cloud computing: From the perspective of deep learning

   Anil Kumar, Rajabov Sherzod Umurzoqovich, Nguyen Duc Duong +4

   СтатьяNetwork Security and Intrusion DetectionOptik2022Цитирований: 0

   ABIABI:AkademIndex/openalex/2022.article.000062

3. Automating Mitigation of Amplification Attacks in NFV Services

   Matteo Repetto, Gianmarco Bruno, Jalolliddin Yusupov +3

   СтатьяNetwork Security and Intrusion DetectionIEEE Transactions on Network and Service Management2022Цитирований: 0

   ABIABI:AkademIndex/openalex/2022.article.000741

4. Advanced cloud intrusion detection framework using graph based features transformers and contrastive learning

   Vijay Govindarajan, Junaid Hussain Muzamal

   СтатьяNetwork Security and Intrusion DetectionScientific Reports2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000145

5. AI-Based Security Engineering for Fintech and Regulated Industries

   Ilakiya Ulaganathan, Fnu Antara, Santhosh Chitraju Gopal Varma +2

   СтатьяAdversarial Robustness in Machine Learning2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.011296