[ RECORD YEAR ]2020

3GPP Release 16 Standardizes NWDAF Network Analytics (TS 23.288) Including Abnormal UE Behaviour Detection

With the Release 16 freeze on 3 July 2020, 3GPP completed its Enablers for Network Automation (eNA) work, defining the 5G Core Network Data Analytics Function (NWDAF) in TS 23.288 — including abnormal UE behaviour analytics that operators can feed into policy and security decisions.

THREAT SEVERITY
8.0 / 10
Target Technology5G NWDAF (Network Data Analytics Function), 3GPP TS 23.288 / TS 29.520, Machine-Learning Analytics
OSI Network LayerLayer 7 / 5G Core Service-Based Architecture (HTTP/2)
Threat Actor / AttributionN/A — Standards Milestone (3GPP SA2 Enablers for Network Automation)
Protocol Standard3GPP TS 23.288, TS 29.520 (Release 16/17)

02Deep-Dive Technical Analysis

NWDAF collects data from 5G Core network functions (such as the AMF, SMF and PCF), application functions and OAM, and exposes analytics through the Nnwdaf service-based interfaces (TS 29.520). Release 16 defined UE-related analytics for mobility, communication patterns and abnormal behaviour (for example unexpected UE location or unexpectedly long-lived or high-rate flows), which a consumer such as the PCF can subscribe to and act on by restricting QoS or service area. Release 17 (frozen 2022) split NWDAF into a Model Training Logical Function (MTLF) and an Analytics Logical Function (AnLF) and added multi-NWDAF deployments; later releases extended analytics toward signalling-storm prevention. Fully autonomous, ML-driven signalling firewalls that rewrite SEPP filtering rules without human review remain vendor proposals rather than standardized behaviour.

03Vulnerability & Exploit Flow

Exploit Vector

Targets abnormal UE behaviour, signalling storms and suspected DDoS on 5G Core service-based interfaces, detected through NWDAF analytics subscriptions.

04Recommended Defense & Mitigation Protocol

Operator Hardening Strategy

Deploy NWDAF analytics alongside SEPP filtering and dedicated signalling firewalls, with human-supervised policy updates and validated ML models.

05Security Impact & Geopolitical Consequence

Gave operators a standardized way to bring machine-learning analytics into the 5G Core control plane and laid the groundwork for automated anomaly detection; real-world security value still depends on vendor implementations and operator integration.

06Authoritative Standards & External References

07Related Topic Cluster Records

TelcoSec Global Ecosystem · Academy & Enterprise Audits

Master 5G Core, SS7 Defense & Subsea Cable Auditing

Ready to turn your historical knowledge into certified hands-on expertise? Register free on TelcoSec Academy to access interactive lab challenges, or consult our enterprise team for carrier-grade signaling assessments and portable BTS hardware.

›Hands-on SS7, Diameter & 5G SBA Firewall Defense
›5G SA Zero Trust Security Architecture & ProLabs
›Enterprise Carrier Auditing & Rogue Base Station Interception
Explore SaaS Academy Labs?Enterprise Consultancy (telco-sec.com)?
SaaS Academy free tier · Enterprise audits for operators