ML-based Anomaly Detection

ML-based Anomaly Detection Description

Environments

Hardware

• 2 physical servers (Intel Xeon X5650 2.90GHz with 8 cores of 16 threads and 1 Gbps Ethernet)
• 1 network switch

Software

• NFVI: OpenStack Pike release
• OS: Ubuntu 16.04 Xenial

testbed setup

• VNF: iptables 1.6.0 (firewall), Suricata 4.1.4 (open-source IDS/IPS)
• Traffic generator: D-ITG