STATUS: ACTIVE
SECTOR: ITU-T
LEVEL: UNCLASSIFIED // RESEARCH

itu-t Series-Y: Global Information Infrastructure, Internet Protocol Aspects and Next-Generation Networks

The requirements and architectural framework for 5G, NGN, IoT, AI/ML infrastructure, and network slicing โ€” where IMT-2020 security mandates (Y.3101) translate into the 3GPP specifications that operators must implement.

Official Scope

Study Group: SG13 (Future networks, IMT-2020) & SG20 (IoT and Smart Cities)
Active Status: Ongoing

Defines the Global Information Infrastructure (GII), IP aspects of NGN (Next-Generation Networks), IMT-2020 (5G) system requirements (Y.3101), framework for AI/ML integration in networks (Y.3172), IoT functional security (Y.4401), and the architecture for network slicing and cloud-native network functions.

Tactical Security Significance

  • Relevance: ๐ŸŸข Critical โ€” 5G Core Security, Network Slicing Isolation, AI/ML Infrastructure Security, IoT Device Security
  • Key Security Concepts: IMT-2020 Security Requirements (Y.3101), Network Slice Isolation, NWDAF (AI/ML) Security, IoT Device Lifecycle Security (Y.4401), Cloud-Native NF Security
  • Attack Surface: 5G network slices (insufficient isolation enables cross-slice attacks), NWDAF data feeds (AI poisoning), IoT devices with weak onboarding (Y.4401 lifecycle), cloud-native NF container environments

Key Recommendations

ITU RecTitleSecurity DomainCross-Reference
Y.2701Security requirements for NGNNGN Security Requirements BaselineX.805
Y.3101Requirements for the IMT-2020 network5G System Security Requirements3GPP TS 23.501
Y.3111Service requirements for 5G network slicingNetwork Slice Isolation Security3GPP TS 33.501 ยง11
Y.3172Architectural framework for machine learning in future networksNWDAF AI/ML Security3GPP TS 23.288
Y.3300Framework for software defined networking (SDN)SDN Control Plane SecurityONF TR-521
Y.4100Common requirements for the Internet of ThingsIoT Security Baseline RequirementsETSI EN 303 645
Y.4401Functional framework and capabilities of the Internet of ThingsIoT Device Lifecycle Security3GPP TS 33.185
Y.4551Requirements and capability framework for IoT application securityApplication-Layer IoT SecurityOWASP IoT Top 10

Security Mapping

IMT-2020 Security Requirements (Y.3101) โ†’ 3GPP TS 33.501

Y.3101 defines the top-level security requirements for the IMT-2020 (5G) system. Every security clause in 3GPP TS 33.501 traces back to a requirement in Y.3101 โ€” making Y.3101 the authoritative compliance baseline for 5G security audits.

Key Y.3101 security requirements and their 3GPP realizations:

Y.3101 Requirement3GPP Realization
User privacy protectionSUCI (SUPI concealment via ECIES) โ€” TS 33.501 ยง6.12
Mutual authentication5G-AKA / EAP-AKA' โ€” TS 33.501 ยง6.1
Security context isolation per sliceNSSAI-scoped security context โ€” TS 33.501 ยง11
Inter-operator securitySEPP + N32 TLS โ€” TS 33.501 ยง13
Lawful interception in 5G5G LI architecture โ€” TS 33.127

Network Slice Security Isolation (Y.3111)

Y.3111 mandates that network slices must not interfere with each other โ€” traffic and security contexts must be isolated. Insufficient slice isolation enables cross-slice attacks, where a compromised slice gains access to resources or data belonging to other tenants.

  • Threat: A compromised IoT slice (e.g., smart meter network) escalates privileges or leaks traffic into a mission-critical slice (e.g., emergency services UE slice) due to shared UPF or AMF without proper isolation
  • Mitigation: Enforce dedicated AMF instances per high-security slice; apply Network Slice Admission Control (NSAC) per Y.3111; validate isolation boundaries at each slice handoff with slice-aware firewall policies

NWDAF AI/ML Security โ€” Model Poisoning Attack (Y.3172)

The NWDAF (Network Data Analytics Function) uses AI/ML models trained on live network data to enable intelligent network management. Y.3172 defines the framework โ€” but AI model inputs are a new attack surface.

  • Threat: An attacker who can influence network telemetry data (e.g., by generating synthetic UE behavior at scale) poisons the NWDAF training data โ†’ NWDAF makes systematically wrong decisions (misrouting, incorrect load balancing, false fraud detection clearance)
  • Mitigation: Implement input validation and anomaly detection on NWDAF training feeds; version-control AI models with rollback capability; use federated learning with differential privacy where sensitive data feeds into training pipelines

IoT Device Security Lifecycle (Y.4401)

Y.4401 defines the functional framework for IoT โ€” including onboarding, identity provisioning, and decommissioning. Weak onboarding (default credentials, no device certificate) is the primary IoT attack vector.

  • Attack: IoT devices deployed without individual device certificates use shared credentials โ†’ compromise of one device credential enables mass device impersonation or botnet recruitment
  • Mitigation: Enforce PKI-based device identity per Y.4401 ยง8.3; require unique per-device credentials; implement device lifecycle management (onboard โ†’ operate โ†’ decommission) with audit trail
graph LR
    Y3101[Y.3101 IMT-2020 Requirements] -->|Realized by| TS33501[3GPP TS 33.501]
    Y3111[Y.3111 Network Slicing] -->|Slice Isolation| SliceSec[Slice Security Context]
    Y3172[Y.3172 AI/ML Framework] -->|NWDAF| NWDAF[Analytics Security]
    Y4401[Y.4401 IoT Framework] -->|Device Lifecycle| IoTSec[IoT Identity & Onboarding]
    TS33501 --> AKA[5G-AKA / SUCI]
    TS33501 --> SEPP[SEPP / N32]
    SliceSec --> NSAC[NSAC / Slice-aware FW]

Operational Audit


Generation-Specific Bridges


!NOTE This series is part of the master Series Tracker.

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TELCOSEC INITIATIVEEST. 2026 // GLOBAL STANDARDS RESEARCH

Independent, non-affiliated security research project dedicated to hardening global telecommunications infrastructure through data-driven auditing.