Design of advanced intrusion detection system for multimodal fuzzy-based convolutional neural networks (mFCNN)
International Journal of Advanced Computer Research · 2023
The Internet of Things (IoT) is a rapidly expanding global network that connects both living and nonliving entities.A security flaw within IoT renders it susceptible to a wide array of cyberattacks [1].Users might be reluctant to embrace new technology if the network is perceived as insecure.While IoT is a remarkable concept, its global network of connected smart objects makes it particularly prone to cyberattacks [2].Intrusion detection systems (IDS) can enhance the security of any network environment.Most modern IDSs employ machine learning (ML) algorithms to train and detect network attacks [3].