New Advances In Robust Deep-learning-based Intrusion Detection And Blockchain Security For Iot

This article discusses the use of deep learning and blockchain technology for intrusion detection in the context of the Internet of Things (IoT). It highlights the need for high-quality datasets and advanced data quality enhancement mechanisms for accurate classification, as well as the potential of self-supervised learning and generative adversarial networks for improving intrusion detection accuracy. The article also emphasizes the suitability of blockchain for secure distributed security protection in IoT environments.