Publications
Article · Computer Modeling in Engineering & Sciences · January 1, 2025
An Impact-Aware and Taxonomy-Driven Explainable Machine Learning Framework with Edge Computing for Security in Industrial IoT–Cyber Physical Systems
Tamara Kokenovna Zhukabayeva, Zulfiqar Ahmad, Nurbolat Tasbolatuly, Makpal Zhartybayeva, Yerik Mardenov, Nurdaulet Karabayev
Abstract
The Industrial Internet of Things (IIoT), combined with the Cyber-Physical Systems (CPS), is transforming industrial automation but also poses great cybersecurity threats because of the complexity and connectivity of the syst... | Find, read and cite all the research you need on Tech Science Press
Network Security and Intrusion DetectionIoT and Edge/Fog ComputingInternet of Things and AIexplainable machine learningedge computingindustrial IoT security
More by Yerik Mardenov
- Propagation-Aware Agentic Defense Framework for Resilient Connected Autonomous Vehicle Cyber-Physical SystemsIEEE Vehicular Technology Conference · 2026
- Analysis of vulnerability databases for wireless networks in the Internet of Things for threat modellingDMPedia Lecture Notes in Computer Science & Engineering · 2026
- Trustworthy Anomaly Detection in Industrial IoT-Enabled Cyber-Physical Systems Using Explainable Ensemble LearningProceedings of the AAAI Symposium Series · 2026
- AI-AUGMENTED PENTESTING: SECURING IIOT AND SMART CITIESBulletin of the National Engineering Academy of the Republic of Kazakhstan · 2026
