Generative Adversarial Networks Based Industrial Protocol Construction in the Fog Computing
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- Type
- article
- Published
- 2018-10-01
- Cited by
- 1
- References
- 18
- OpenAlex
- https://openalex.org/W2912492823
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:61810805
Keywords
Computer science, Protocol (science), Distributed computing, Artificial intelligence, Scheme (mathematics)
References
- A Semantics-Aware Approach to the Automated Network Protocol Identification
- Insights on the Security and Dependability of Industrial Control Systems
- Comparison of texture features based on Gabor filters
- Security intelligence for industrial control systems
- Defending Against False Data Injection Attacks on Power System State Estimation
- Enabling an Anatomic View to Investigate Honeypot Systems: A Survey
- Robust Smartphone App Identification via Encrypted Network Traffic Analysis
- Practical Network-Wide Packet Behavior Identification by AP Classifier
- Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing
- A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges
- Hyperspectral Images Classification With Gabor Filtering and Convolutional Neural Network
- Tracking attack sources based on traceback honeypot for ICS network
- Accuracy/energy-flexible stochastic configurable 2D Gabor filter with instant-on capability
- Anomaly Detection Based on Zone Partition for Security Protection of Industrial Cyber-Physical Systems
- Fog Computing Over IoT: A Secure Deployment and Formal Verification
- Generative Adversarial Networks
- The Applications of Deep Learning on Traffic Identification
- UNSUPERVISED TEXTURE SEGMENTATION USING
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