MARE

IBN-Data-tampering: Data and intent tampering detection

In POC#5,  we demonstrate how tampered data can corrupt intent-based decisions in IBN systems. By simulating two realistic attack scenarios, including  compromised telemetry and a manipulated knowledge base, we show how a real-time anomaly detection system can identify abnormal behaviour  and prevent the enforcement of malicious policies.

Type of experiment:
Proof of Concept

Functionality:
Intelligent Network Architecture


Location(s):
Germany

Vertical sector(s):
No specific vertical linked to this PoC

MARE


Duration:

GA Number: 101191436

SNS JU Call (Stream):
Call 3
Stream B