A Novel ML-based Framework for Securing Communication in IoT Devices

Abstract

Machine Learning Techniques for Reliable & Secure Communication in IoT Devices is an emerging research area that focuses on enhancing the communication protocols and security measures of Internet of Things (IoT) devices using machine learning (ML) approaches. IoT devices are widely used in various sectors such as healthcare, smart cities, agriculture, and industrial automation, where reliable and secure communication is crucial. Machine Learning (ML) techniques provide an effective approach to address these challenges by enhancing security, optimizing network performance, and mitigating cyber threats. The integration of ML into IoT security enables real-time anomaly detection, threat mitigation, encryption-based secure communication, unauthorized access can be detected, and threats can be mitigated in real-time basis as many security models fail to scale effectively with growing IoT networks.