An intelligent cognitive computing based intrusion detection for industrial cyber-physical systems

This publication has 26 references indexed in Scilit:

• Supervised Classifier Approach for Intrusion Detection on KDD with Optimal MapReduce Framework Model in Cloud Computing
  Recent Advances in Computer Science and Communications, 2021
• Toward security monitoring of industrial Cyber-Physical systems via hierarchically distributed intrusion detection
  Expert Systems with Applications, 2020
• DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems
  IEEE Transactions on Industrial Informatics, 2020
• Recurrent Neural Network Model for IoT and Networking Malware Threat Detection
  IEEE Transactions on Industrial Informatics, 2020
• Resource Provisioning for Cyber–Physical–Social System in Cloud-Fog-Edge Computing Using Optimal Flower Pollination Algorithm
  IEEE Access, 2020
• Bacterial Foraging Optimization Based on Self-Adaptive Chemotaxis Strategy
  Computational Intelligence and Neuroscience, 2020
• Monthly and Quarterly Sea Surface Temperature Prediction Based on Gated Recurrent Unit Neural Network
  Journal of Marine Science and Engineering, 2020
• Deep Learning-Based DDoS-Attack Detection for Cyber–Physical System Over 5G Network
  IEEE Transactions on Industrial Informatics, 2020
• Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection
  2018
• A survey on security control and attack detection for industrial cyber-physical systems
  Neurocomputing, 2018