Machine Learning Algorithms and IoT Sensors for Securing the Networks
Sridevi, Amrutha Kolhar · 2025
As networks and Internet of Things (IoT) devices become more complex and interconnected, robust security protocols are essential. Sophisticated cyber-attacks often outpace traditional measures, necessitating the use of modern technologies like machine learning (ML). This chapter will explore how ML techniques can enhance the security of networks and IoT ecosystems. By employing ML for anomaly detection, intrusion detection, and predictive analytics, entities can proactively address security vulnerabilities. The chapter will cover various ML approaches, their application to network and IoT security, related challenges, and future directions. It aims to provide valuable insights for scholars, practitioners, and policymakers in cybersecurity and IoT deployment.