Работы, цитирующие эту работу

Работ: 4

1. Explainable Lightweight Block Attention Module Framework for Network-Based IoT Attack Detection

   Furkat Safarov, Mainak Basak, Rashid Nasimov +2

   СтатьяNetwork Security and Intrusion DetectionFuture Internet2023Цитирований: 4

   ABIABI:AkademIndex/openalex/2026.other.094303

2. A Comprehensive Empirical Analysis of Data Sets, Regression-Based Feature Selectors, and Linear SVM Classifiers for Intrusion Detection Systems

   Jahongir Azimjonov, Taehong Kim

   СтатьяNetwork Security and Intrusion DetectionIEEE Internet of Things Journal2024Цитирований: 1

   ABIABI:AkademIndex/openalex/2024.article.000465

3. Evaluating Machine Learning Models for Intrusion Detection Systems in IoT Devices: An Experimental Study

   A. Govindaram, P. Thilagavathi, A. Jose Anand +3

   СтатьяNetwork Security and Intrusion DetectionPremier journal of science.2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.000856

4. 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