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
Maturity:
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