Mardenov Y 1

1. Graph-Based Methodology for Security Risk Assessment in Wireless IoT Networks
2. Enhancing Fault Detection in Wireless Sensor Networks Through Support Vector Machines: A Comprehensive Study
3. A Traffic Analysis and Node Categorization- Aware Machine Learning-Integrated Framework for Cybersecurity Intrusion Detection and Prevention of WSNs in Smart Grids
4. An Impact-Aware and Taxonomy-Driven Explainable Machine Learning Framework with Edge Computing for Security in Industrial IoT–Cyber Physical Systems
5. Network Attack Detection Using NeuroEvolution of Augmenting Topologies (NEAT) Algorithm
6. Penetration Testing and Machine Learning-Driven Cybersecurity Framework for IoT and Smart City Wireless Networks
7. Real-Time Detection and Response to Wormhole and Sinkhole Attacks in Wireless Sensor Networks
8. Towards robust security in WSN: a comprehensive analytical review and future research directions
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