SDN & Deep Learning Expert for Real-Time Network Monitoring and Defense (Virtualized)
Budget: $750 – $1,500 USD
Develop a robust, real-time SDN monitoring & analytics platform that:
• Collects & Visualizes Traffic
o Packet-level and flow-level statistics in real time
o Key performance metrics (throughput, latency,MSR, MRT, Dropped Malicious Packets Rate, False Mitigation Rate, Packet Loss Rate, QoS Violation Rate)
• Detects & Mitigates Threats
o Anomaly detection powered by LSTM classifiers
o Dynamic intrusion prevention via double DRQN agents
• Integrates Advanced Security
o Deep learning models and federated learning for cross-domain insights
o Seamless Ryu controller extensions
• Runs in Virtualized Labs
o Mininet topologies orchestrated on VirtualBox
o Easy deployment for testing and demonstration
• Collects & Visualizes Traffic
o Packet-level and flow-level statistics in real time
o Key performance metrics (throughput, latency,MSR, MRT, Dropped Malicious Packets Rate, False Mitigation Rate, Packet Loss Rate, QoS Violation Rate)
• Detects & Mitigates Threats
o Anomaly detection powered by LSTM classifiers
o Dynamic intrusion prevention via double DRQN agents
• Integrates Advanced Security
o Deep learning models and federated learning for cross-domain insights
o Seamless Ryu controller extensions
• Runs in Virtualized Labs
o Mininet topologies orchestrated on VirtualBox
o Easy deployment for testing and demonstration