This image shows a network traffic control system architecture. Here’s a detailed breakdown:
- At the top, several key technologies are listed:
- P4 (Programming Protocol-Independent Packet Processors)
- eBPF (Extended Berkeley Packet Filter)
- SDN (Software-Defined Networking)
- DPI (Deep Packet Inspection)
- NetFlow/sFlow/IPFIX
- AI/ML-Based Traffic Analysis
- The system architecture is divided into main sections:
- Traffic flow through IN PORT and OUT PORT
- Routing based on Destination IP address
- Inside TCP/IP and over TCP/IP sections
- Security-Related Conditions
- Analysis
- AI/ML-Based Traffic Analysis
- Detailed features:
- Inside TCP/IP: TCP/UDP Flags, IP TOS (Type of Service), VLAN Tags, MPLS Labels
- Over TCP/IP: HTTP/HTTPS Headers, DNS Queries, TLS/SSL Information, API Endpoints
- Security-Related: Malicious Traffic Patterns, Encryption Status
- Analysis: Time-Based Conditions, Traffic Patterns, Network State Information
- The AI/ML-Based Traffic Analysis section shows:
- AI/ML technologies learn traffic patterns
- Detection of anomalies
- Traffic control based on specific conditions
This diagram represents a comprehensive approach to modern network monitoring and control, integrating traditional networking technologies with advanced AI/ML capabilities. The system shows a complete flow from packet ingress to analysis, incorporating various layers of inspection and control mechanisms.
with Claude
Lechuck Park 