DDoS Attacks Detection and Mitigation in 5G and Beyond Networks: A Deep Learning-based Approach

Keyphrases

• 5G Network Slice 33%
• 5G-and-beyond Networks 100%
• Attack Detection 100%
• Attack Mitigation 100%
• Attacker 33%
• Deep Learning 33%
• Deep Learning Methods 100%
• Deep Learning Model 33%
• Degree of Isolation 33%
• Detection Accuracy 33%
• Distributed Denial of Service (DDoS) 100%
• Execution Time 33%
• False Positive Rate 66%
• Fit-for-purpose 33%
• Machine Learning 33%
• Malicious Users 66%
• Mobile Networks 33%
• Network Slicing 33%
• Network Throughput 66%
• OpenAirInterface 33%
• Physical Network 33%
• Physical Resources 33%
• Processing Time 33%
• Prototype-based 33%
• Quality of Service 33%
• Security Threats 33%
• Sinkhole 33%
• Timely Manner 33%
• User Throughput 33%
• Virtual Network 33%

Computer Science

• 5G Mobile Communication 33%
• Attackers 33%
• Deep Learning Method 100%
• Deep Learning Model 33%
• Denial-of-Service 100%
• Detection Accuracy 33%
• Distributed Denial of Service Attack 100%
• Execution Time 33%
• False Positive Rate 66%
• Learning System 33%
• Machine Learning 33%
• Mobile Network 33%
• Network Slicing 33%
• Physical Network 33%
• Physical Resource 33%
• Processing Time 33%
• Quality of Service 33%
• User Throughput 33%
• Virtual Network 33%