All times are US Eastern Time (UTC – 5)

Thursday March 2, 2023

10:00am Opening

Lotfi Benmohamed (NIST)

10:10am Panel 1: Lessons Learned

Chair: Ken Calvert (University of Kentucky)

Panelists: Alex Afanasyev (Florida International University)

Jeff Burke (UCLA REMAP)

Luca Muscariello (Cisco)

Lan Wang (University of Memphis)

Beichuan Zhang (University of Arizona)

Lixia Zhang (UCLA) 

11:40am Session 1: Vehicular and Public Safety

Chair: Davide Pesavento (NIST) 

• Resilient Edge Ecosystem for Collaborative and Trustworthy Disaster Response (REsCue): 

An Information-Centric Approach, Abde Mtibaa (UMSL)

• In-vehicle networking with NDN, Zach Threet (Tennessee Tech)

• Secure Truck-Tractor to Trailer Communications based on NDN, Ahmed Elhadeedy 

(Colorado State University)

12:40pm Break

1:30pm Session 2: Security

Chair: Christos Papadopoulos (University of Memphis) 

• To know the road ahead: A Forward-Looking Analysis of Lessons to Learn from IP DDoS, 

Eric Osterweil (George Mason University)

• Schema-Based Automation of Name-Based Access Control, Alex Afanasyev (Florida 

International University) 

• A Security Bootstrapping Package for Hydra, Tianyuan Yu (UCLA) 

• A Review of Defined Trust Transport (DeftT), Turan Vural (UCLA)

• Identity Authentication Security Strategies using TPM private key storage in an NDN 

Publish/Subscribe Industrial Energy Control System, Randy King (Operant Networks) 

3:10pm Break
3:40pm Session 3: Applications

Chair: Susmit Shannigrahi (Tennessee Tech)

• A Secure mHealth Infrastructure for Real-Time Data transfer with Fine-grained Access 

Control, Saurab Dulal (The University of Memphis)

• A Dataset of NDN Traffic Traces for the Research Community, Davide Pesavento (NIST)

• NDN Sync API Overview, Varun Patil (UCLA)

• Steering New Applications Away from Centralized Realization, Lixia Zhang (UCLA)

5:00pm Day 1 Closing

Friday March 3, 2023

10:00am Session 4: Forwarding and Applications

Chair: Lotfi Benmohamed (NIST)

• iStack: An in-Kernel Networking Stack for Named Data Networking, Tian Song (Beijing 

Institute of Technology)

• Bringing Named Data Networking to Internet Livestreaming, Teng Liang (Peng Cheng 

Laboratory)

• Towards First Data Centric Medium Access Control Multicast Rate Control, Mohammed 

Elbadry (Stony Brook University)

11:00am Panel 2: Named Data Metaverse 

Chair: Dirk Kutscher (Hong Kong University of Science and Technology)

Panelists: Jeff Burke (UCLA REMAP)

Todd Hodes (Eluvio)

Paulo Mendes (Airbus)

Michelle Munson (Eluvio)

12:30pm Break

1:30pm Panel 3: Time for Standardization? 

Chair: Christos Papadopoulos (University of Memphis)

Panelists: Randy King (Operant Networks)

Suzanne Lightman (NIST)

Luca Muscariello (Cisco)

Kathyayani Srikanteswara (Intel)

3:00pm Break

3:15pm Session 5: Applications and Services

Chair: Tamer Refaei (MITRE)

• mGuard: a Secure mHealth Data Sharing Infrastructure over NDN, Suravi Regmi (The 

University of Memphis)

• NDN Opportunities in 5G/6G Core Networks, Junxiao Shi (NIST) 

• N-DISE: NDN-based Data Distribution for Large-Scale Data-Intensive Science 

Experiments, Edmund Yeh (Northeastern University)

• Edge Information Management - Demand is Only Growing, Jeff White (Dell 

Technologies)
• SPAN-AI federated UCDN PoC - the first commercial ICN network at scale, Rhett 

Sampson (GT Systems), Jaime Llorca (GT Systems and NYU)

4:50pm Closing

Panel Abstracts:

• Panel 1: Lessons Learned

The "10 years of NDN - Lessons Learned" panel at the 2020 NDNComm emphasized the utility of the 

basic building block (semantically named, secured data) and the importance of driving the architecture 

through application building and understanding application needs. In this panel, members will present 

insights about specific aspects of the NDN architecture, including for example namespace structure and 

API features.

• Panel 2: Named Data Metaverse

This panel will discuss opportunities and challenges for building Metaverse systems with a Named Data 

Networking approach. Specific discussion questions include: What are architectural, security-related, 

and performance-related issues in Metaverse systems today? What communication patterns could be 

supported by NDN platforms? How can the data-oriented model and decentralized trust establishment 

help in developing better Metaverse systems and at what layer would NDN technologies help? What are 

gaps, challenges and research opportunities for NDN evolution to address Metaverse system 

requirements?

• Panel 3: Time for Standardization?

After 13 years, Named Data networking (NDN), is the only NSF Future Internet Architectures (FIA) 

project still active. While NDN has substantial research and development under its belt, with running 

code, hundreds of mostly academic research papers, a global testbed, and a sizable community, it has 

not yet made an equally strong impact in the commercial space.

Industry adoption typically requires some form of standardization or agreed upon specification. This 

panel will explore whether such activities are needed to transition NDN into a commercial success. More 

specifically, the panel will address two questions: (a) is it time to pursue some form of NDN 

standardization? and (b), if the answer is yes, what is the appropriate path for NDN?

Abstracts for Presentations (compiled in separate document)