Network Attack Prediction With Hybrid Temporal Convolutional Network and Bi-directional GRU

Keyphrases

• Network Attacks 100%
• Temporal Convolutional Network 100%
• Network Attack Prediction 100%
• Bi-directional GRU 100%
• Bidirectional Gated Recurrent Unit (BiGRU) 75%
• Prediction Accuracy 50%
• Savitzky-Golay Filter 50%
• Multi-head Attention 50%
• Hybrid Algorithm 25%
• Network Security 25%
• Financial Loss 25%
• Neural Network 25%
• Future Networks 25%
• Fast Response 25%
• Prediction Method 25%
• Hybrid Deep Learning 25%
• Attention Mechanism 25%
• Work-first 25%
• Full Use 25%
• Cloud Infrastructure 25%
• Particle Swarm Optimizer 25%
• Time Series Data 25%
• Time Prediction 25%
• Attack Traffic 25%
• Traffic Data 25%
• Real-life Dataset 25%
• Economic Loss 25%
• Genetic Simulated Annealing 25%
• Hyperparameter Setting 25%
• Deep Learning Prediction 25%
• Long-term Correlation 25%
• Abstract Features 25%
• One-dimensional Time Series 25%
• Internal Correlations 25%
• Multidimensional Features 25%

Computer Science

• Temporal Convolutional Network 100%
• Bi-Directional Gated Recurrent Unit 75%
• Prediction Accuracy 50%
• Network Security 25%
• Deep Learning 25%
• Neural Network 25%
• Experimental Result 25%
• Hybrid Algorithm 25%
• Attention (Machine Learning) 25%
• Simulated Annealing 25%
• Cloud Infrastructure 25%
• Dimensional Feature 25%
• particle swarm optimizer 25%
• Prediction Time 25%
• Time Series Data 25%
• Attack Traffic 25%