2026-02-04 TAC Minutes

2026-02-04 TAC Minutes

Attendees & Representation

TAC Members and Project representatives should mark their attendance below 

Member Representatives

Representing

Member

China Mobile

vacant

China Telecom

vacant

Cisco

@Frank Brockners

Deutsche Telekom

@Marc Fiedler

Ericsson

@Christian Olrog

Huawei

@Huijun Yu

Infosys

@Girish Kumar 

Nokia

@Olaf Renner 

Red Hat

@Dave Tucker 

Tech Mahindra

vacant

TELUS

 @Sana Tariq 

Verizon

vacant

Walmart

@Santhosh Fernandes 

LF Staff & Community

@Casey Cain @LJ Illuzzi @Ranny Haiby

Cara Steib, Erik Peterson, Yatis Dodia

Community Representatives

Community

Representative

Lifecycle

ONAP

@N.K. Shankaranarayanan 

Graduated

OpenDaylight

@Robert Varga 

Graduated

Anuket

@Beth Cohen

Graduated

Essedum

@Praveen Kumar Kalapatapu

Candidate

FD.io

@Dave Wallace 

Graduated

Nephio

@Timo Perala 

Graduated

L3AF

@Santhosh Fernandes 

Incubation

5G SBP

vacant

Incubation

CNTi

@Olivier Smith 

sandbox

Paraglider

vacant

sandbox

Elected Representatives

Chairperson

@Olaf Renner 

Vice-Chair

@Muddasar Ahmed 

Security

@Amy Zwarico 

AI

@Fatih Nar

Committer Representative

@Shankar Malik

Agenda

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Minutes

AI & Threat Identification presentation

  • Presenters: Maggie Cogdale (NSA), Jeff Pitcher and Yatis Dodia (Georgia Tech Research Institute)

    • Research Focus: Network observability and anomaly detection in 5G networks using AI/ML

    • Key Points:

      • Created an open source 5G lab testbed using Open Network Automation Platform (ONAP)

      • Focused on detecting cyber threats through performance and fault metrics

      • Used MITRE FIGHT 5G threat guidance framework

      • Simulated a Distributed Slice Mobility Attack (denial of service attack exploiting auto-scaling)

      • Implemented solution on SD Core and Open 5GS cores

      • Collected metrics via Prometheus and streamed through Strimzy Kafka

      • Applied autoencoder AI model for anomaly detection

      • Successfully identified malicious UE (User Equipment) and affected network slices

      • Demonstrated potential for autonomous detection and mitigation actions

    • Applications: Intent-based policy enforcement, predictive resource optimization, dynamic micro-segmentation, and root cause analysis

  • @Maggie Cogdell

  • For more details on this research and if you would like to get in touch with us about this work please see link below:

TAC Elections

  • 2026 TAC Chair Election

  • 2026 TAC Vice-Chair Election

  • 2026 LFN LGBMCR Election

  • An additional 2 seats currently held by @Fatih Nar (AI) and @Amy Zwarico (Security) are also up for election.

    • TAC will decide the “theme” of these seats for this election period.

  • Self-nominations are now open.

    • After discussion, the TAC agreed to keep the AI seat as it is, and update the language for the Security seat to include Observability responsibilities.

    • Casey will distribute the vote via email after the language has been updated.

Backlog