1. Traditional anomaly-detection techniques used in 4G and 5G networks are not
well suited for handling high-dimensional and real-time data in 6G.
2. 6G advancement enable next-generation applications, they also increase the
complexity and vulnerability of network infrastructures.
3. Signature-based detection — high precision for known attacks; cannot detect
zero-day attacks
Rule-based detection — interpretable but brittle and labour-intensive to
maintain
Statistical detection — assumes a distribution of normal traffic; suffers under
non-stationarity
4. Solution : Anomaly -based detection + Machine-learning-based detection
(adaptive and capable of generalising to new attacks)+ Feature Selection (to
handling high-dimensional and real-time data in 6G)
a. — high precision for known attacks; can detect zero-day attacks.
b. Not intensive to maintain
c. suffers under non-stationarity