Adversarial training for deep learning-based cyberattack detection in IoT-based smart city applications.
Md. Mamunur RashidJoarder KamruzzamanMohammad Mehedi HassanTasadduq ImamSantoso WibowoSteven GordonGiancarlo FortinoPublished in: Comput. Secur. (2022)
Keyphrases
- deep learning
- deep architectures
- restricted boltzmann machine
- smart city
- unsupervised feature learning
- weakly supervised
- unsupervised learning
- object detectors
- object detection
- machine learning
- deep belief networks
- supervised learning
- service integration
- smart cities
- context aware
- training set
- feature space
- natural language
- image segmentation