Next-Generation Networks: An IoT Perspective on Anomaly and Intrusion Detection
kolusu sunitha, Kareemulla Shaik · 2025
The manner in which we live and earn a living is being altered with the expanding integration of IoT technology in diverse industries, like Automated grids, digitally integrated home products, and health care systems. A key important problem facing the IT world currently is improving the security of loT networks. It is difficult for large-scale loT devices to communicate securely without sacrificing performance when they are being designed and deployed. The two main problems with IoT are intrusion detection systems and anomaly detection. Class imbalance in datasets and real-time detection are two issues that we have recognized from earlier research. We intend to use deep learning techniques like CNN, RNN, GAN, and autoencoder to solve these issues in future study.