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1. Enhancing internet of things security against structured query language injection and brute force attacks through federated learning
2. Graph-Based Methodology for Security Risk Assessment in Wireless IoT Networks
3. Adversarial Attacks and Defense Mechanisms in Machine Learning: A Structured Review of Methods, Domains, and Open Challenges
4. Enhancing Fault Detection in Wireless Sensor Networks Through Support Vector Machines: A Comprehensive Study
5. Resource Allocation Approach for Optimal Routing in IoT Wireless Mesh Networks
6. Wireless Sensor Network as a Mesh: Vision and Challenges
7. RESULTS OF EXPERIMENTAL GEORADAR SURVEYS OF RAILWAY SECTIONS
8. An Edge-Computing-Based Integrated Framework for Network Traffic Analysis and Intrusion Detection to Enhance Cyber–Physical System Security in Industrial IoT
9. Comprehensive Study on Detecting Multi-Class Classification of IoT Attack Using Machine Learning Methods
10. Network Attack Detection Using NeuroEvolution of Augmenting Topologies (NEAT) Algorithm
11. Penetration Testing and Machine Learning-Driven Cybersecurity Framework for IoT and Smart City Wireless Networks
12. Towards robust security in WSN: a comprehensive analytical review and future research directions
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