This book provides a comprehensive exploration of IoT security through the lens of ML and AI. The Internet of Things (IoT) is transforming industries by connecting billions of devices, creating unprecedented opportunities but also significant security challenges. As IoT adoption accelerates, cyber threats targeting these connected systems are growing in complexity. Traditional security measures are often inadequate for IoT ecosystems, necessitating advanced solutions that integrate machine learning (ML) and artificial intelligence (AI).
This book provides a comprehensive exploration of IoT security through the lens of ML and AI. The Internet of Things (IoT) is transforming industries by connecting billions of devices, creating unprecedented opportunities but also significant security challenges. As IoT adoption accelerates, cyber threats targeting these connected systems are growing in complexity. Traditional security measures are often inadequate for IoT ecosystems, necessitating advanced solutions that integrate machine learning (ML) and artificial intelligence (AI).
Subir Panja
IoT Security Machine Learning for Cybersecurity AI-Driven Threat Detection Intrusion Detection in IoT Privacy-Preserving AI Blockchain for IoT Security Edge AI and Federated Learning