A Novel Deep Hierarchical Machine Learning Approach for Identification of Known and Unknown Multiple Security Attacks in a D2D Communications Network

Computer Science

• Communication Network 100%
• Machine Learning Approach 100%
• Intrusion Detection System 100%
• Security Attack 100%
• Long Short-Term Memory Network 100%
• Unknown Attack 100%
• Recurrent Neural Network 100%
• Machine Learning 50%
• Mobile Network 50%
• Structured Query Language 50%
• Deep Neural Network 50%
• Distributed Denial of Service 50%
• Hardware Failure 50%
• Device-To-Device 50%
• Distributed Denial of Service Attack 50%
• Cyberattack 50%
• Man-in-the-Middle Attack 50%
• Dictionary Attack 50%
• Outstanding Performance 50%
• Neural Network 50%

Keyphrases

• Hierarchical Machine Learning 100%
• Unknown Attacks 66%
• Recurrent Neural Network 66%
• Zero-day 66%
• Hierarchical Neural Network 33%
• Structured Query Language 33%
• Dictionary Attack 33%
• Number of Neurons 33%
• Specific Attack 33%
• Network Device 33%
• Common Goldeneye 33%
• Injection Attacks 33%
• Number of Connections 33%
• Attack Tools 33%
• Reduced Training 33%
• Battery Drain 33%
• 6G Technology 33%