L. Zhumabayeva, a lecturer at the Department of SMART Technologies, published “MGNN-IDS: a multi-graph neural network approach for robust intrusion detection in the internet of things” in the Scopus-indexed journal Telecommunication Systems (2025).
The paper proposes a multi-graph neural network approach for robust intrusion detection in the Internet of Things (IoT).
Author’s Scopus profile: https://www.scopus.com/authid/detail.uri?authorId=57188572898
