Работы, цитирующие эту работу

Работ: 3

Работа: Network Intrusion Detection for IoT Security Based on Learning Techniques

1. RCLNet: an effective anomaly-based intrusion detection for securing the IoMT system

   Jamshed Ali Shaikh, Chengliang Wang, Wajeeh Us Sima Muhammad +5

   СтатьяAnomaly Detection Techniques and ApplicationsFrontiers in Digital Health2024Цитирований: 1

   ABIABI:AkademIndex/openalex/2026.other.066467

2. Hybrid Deep Learning for Intrusion Detection in IoT Networks Using CNNs, Bigrus, Attention Mechanisms, and Advanced Binary Snake Optimizer (BSO) Techniques

   Bhagath Singh Jayaprakasam, Rila Mandala, Venkat Garikipati +3

   СтатьяNetwork Security and Intrusion DetectionJournal of Multiscale Modelling2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.014905

3. Lightweight Intrusion Detection Systems for IoT–Edge Environments: A PRISMA-ScR Systematic Review of Deployability Evidence and a Unified Assessment Framework

   Md. Moinul Islam, Umme Salsabil, Mekhriddin Nurmamatov +1

   СтатьяNetwork Security and Intrusion DetectionFuture Internet2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.023051