APAN59

The global Internet thrives on openness, interoperability, and inclusivity, serving as the backbone of education, research, and innovation worldwide. However, the rising threats of Internet fragmentation—caused by geopolitical tensions, data localization mandates, cyberattacks, filtering fake news, and proprietary systems—pose a significant challenge to its universal nature. The session will come up with the pivotal role of National Research and Education Networks (NRENs), with their unique position at the intersection of technology, policy, and education, in mitigating these threats.

The session will be organised in panel discussion mode with expectation from NREN representatives [BdREN, NREN, DrukREN, LEARN, CERNET, ThaiREN, REANZ, MyREN, PERN, NKN and PREGINET] about their observations on the specific challenges in respective countries. A questionnaire may be prepared ahead of time to get feedbacks from the participating Asia-Pacific NRENs and the panel consisting of NRENs from both developed and developing economies [as mentioned] may come forward to discuss on the challenges and threats delved out of the questionnaire and the probable remedies to mitigate those threats.

This session will deliver presentations on ORCID and PIDs.

- PIDs - An Introduction by Dalia Abraham from Australian Access Federation

- PIDs and NRENs: ORCID in the Landscape by Chieh-Chih Estelle Cheng from ORCID

- Beyond identity: NRENS serving as ORCID community representatives by Brian Minihan from ORCID

This session will conclude with a PIDs discussion focusing on how your NREN can begin a PIDs program to enhance research in your nation.

This session will deliver presentations on eduroam.

• Eduroam: Telegram Bot Monitoring by Nurulfaizal M Shukeri from Universiti Sains Malaysia

• Eduroam as a Federation service by Farhan SJAUGI from SIFULAN.

• Cityroam/OpenRoaming by Hideaki Goto

• Privacy-Aware Inter-Regional Data Sharing of Local User Information in OpenRoaming by SAKANE, Eisaku, OKABE, Yasuo, GOTO, Hideaki, and HIROSE, Takenori,

This session will conclude with a eduroam discussion focusing on how your NRENs can improve their service to their subscribers and ensure visitors are able to get the most out of eduroam.

The APAN AI driven Networks Working Group (AINWG) has started at the APAN 50 meeting held in 2020 by having BoF (Birds of Feather) sessions. The aim of AINWG is to share experience to design, manage, maintain, and protect the network using artificial intelligence (AI) and escalate collaboration for AI driven networks in the APAN community.
Combining human intellect and creativity with the massive computing power of AI will create situations in which new design and management techniques may be created that humans could not build on their own, but self-improving intelligent algorithms will harness over time.
All activity of AINWG is to encourage the collaboration of technical experiences and knowledge regarding AI-enabled networks. This will lead to the development of an intelligent, scalable, sustainable, and easy-to-deploy technical platform for each APAN member country to manage its respective national research and education networks.

* 1st session at 9:00 am on March 5th (Wed)
- Mariam Kiran <kiranm@ornl.gov> from ORNL (USA) - virtual
Title: Using Segment routing for a truly self-driving AI network future.
Synopsis: In this presentation, we will present the recent collaboration between Hecate and Polka to use AI to develop a segment routing intelligent network. Using P4 and AI tools, this experiment helps us see how AI can directly impact traffic and lead to performance improvements.

- Dr. Yuichi Teranishi <teranisi@nict.go.jp> from NICT (Japan)
Title: Edge computing / networking for future AI-driven CPS
Synopsis: In this presentation, NICT's testbeds for evaluating edge computing/networking are introduced, along with research on dynamic resource allocations, secure data sharing, and fault-tolerant technologies that support energy-efficient, low-latency, and secure AI-driven Cyber Physical Systems.
Slides: attached.

- Kihyun Kim <kkh1258@kisti.re.kr> from KISTI (Korea)
Title: KREONET AI research environment provision platform for AI researchers
Synopsis:This platform is developed on an open-source basis, and it is a platform that provides an environment where researchers can easily use the computing environment and freely share research results among users using this platform.

- Dr. Changhua Pei <chpei@cnic.cn> from CNIC (China) - virtual
Title: Beyond Sharing: Conflict-Aware Multivariate Time-Series Anomaly Detection
Summary: MTS data of KPIs is crucial for system reliability, but existing AD methods overlook conflicts among metrics' regression objectives. Our CAD algorithm, with an MMoE structure and innovative designs, achieves an average F1 - score of 0.943 and outperforms existing methods.

The APAN AI driven Networks Working Group (AINWG) has started at the APAN 50 meeting held in 2020 by having BoF (Birds of Feather) sessions. The aim of AINWG is to share experience to design, manage, maintain, and protect the network using artificial intelligence (AI) and escalate collaboration for AI driven networks in the APAN community.
Combining human intellect and creativity with the massive computing power of AI will create situations in which new design and management techniques may be created that humans could not build on their own, but self-improving intelligent algorithms will harness over time.
All activity of AINWG is to encourage the collaboration of technical experiences and knowledge regarding AI-enabled networks. This will lead to the development of an intelligent, scalable, sustainable, and easy-to-deploy technical platform for each APAN member country to manage its respective national research and education networks.

- Chin Guok <chin@es.net> from ESnet (USA)
Title:ESnet Data and AI Workshop Outcomes
Synopsis: The objective of the Data and AI workshop is to identify challenges within ESnet that can be addressed through data-driven methods. This will help define ESnet’s data analysis requirements and shape its AI strategy, guiding data stewardship efforts, and the direction of AI research and AIOps exploration for ESnet7. This presentation will provide a summary of the outcomes from the workshop.

- Syed Saqib Jamal <saqib132413@gmail.com> from Jeju National University (Korea)
Title: LLM-Based IBN For Resource Management in SAGIN: Controller Placement, Slicing, and Mobility Solutions
Summary: A novel Large Language Model (LLM)-based Intent-Based Networking (IBN) framework is introduced to streamline resource orchestration and automate network slicing. By translating high-level intents into precise network configurations, this framework enhances the efficiency and agility of resource management. The controller placement and the satellite mobility issues are also introduced.

- Sirawich Pongraweewongsa <sirawich.pp2002@gmail.com> from Chulalongkorn University (Thailand) -virtual
Title: Development of mobile wireless software-defined network security for abnormal data detection in cyber-attack analysis using machine learning
Synopsis: This talk highlights ongoing activities on an innovative approach to network security testing and DDoS mitigation by integrating Mininet-WiFi, SDN, Docker, and Machine Learning into a cybersecurity testbed. The ability to simulate attacks, detect anomalies, and mitigate threats in real time enhances proactive defense mechanisms. The outcomes of this research are expected to contribute to the development of next-generation security solutions for modern mobile wireless network infrastructures.

- Prof. Muhammad Ibrahim <ibrahimislamian@gmail.com> from University of Haripur (Pakistan) -virtual
Title: Privacy in LLMs: Advances in Differential Privacy, Federated Learning, and Beyond
Synopsis: Large Language Models (LLMs) have revolutionized natural language processing but raise significant privacy concerns due to their reliance on vast amounts of user data. We will explore recent advancements in privacy-preserving techniques, focusing on Differential Privacy (DP) and Federated Learning (FL) as key solutions. DP ensures formal privacy guarantees by introducing controlled noise, while FL enables decentralized model training without exposing raw data. We review recent studies addressing data leakage risks, model inversion attacks, and adversarial threats, highlighting emerging hybrid approaches that combine DP and FL for enhanced security. We will further discusses regulatory compliance, challenges, and future directions for ensuring robust privacy in LLMs.

IoT (Internet of Things) is a key technology to deepen the digitization of society, and therefore many people believe the importance of promoting IoT research, development, and deployment for future society growth. The APAN IoT Working Group is a forum for discussions and collaborations on IoT platforms, infrastructures, services, and applications. Please feel free to present your IoT-related applications and services, including case studies of demonstrations and work-in-progress experiments.

Invited Speaker (60 min.)  
Name: Assoc. Prof. Takuro Yonezawa
Organization: Nagoya University, Japan
E-mail: takuro@nagoya-u.jp
Title: Internet of Realities: A Future of Connected People and Spaces
Abstract: The pace at which changes in the real world and their impacts are expanding is increasing, driven by the COVID-19 pandemic, military conflicts across various countries, and large-scale natural disasters such as earthquakes and typhoons. Simultaneously, advancements in AI technologies, exemplified by large language models, are continuously expanding their applicability. The trends in open hardware and open software are further reducing the time lag between research and societal implementation. Thus, the concept of "fluid reality," where yesterday's reality may not apply today, is expected to progress further. Moreover, real-space sensing using IoT sensors and LiDAR is becoming more advanced and affordable. This enables digital-twins, which provide digital replicas and future simulations of physical spaces, and high-immersion virtual reality technologies, which offer highly immersive experiences. These developments are shaping a new reality that interlinks physical and informational spaces, thereby increasing the diversity of reality. To capture, connect, and enhance mutual understanding among people, and to create new value from these diverse and multifaceted realities, new perspectives and various technological developments are necessary. In this talk, I will introduce and discuss the vision and challenges of our Internet of Realities project.
BIO: Takuro Yonezawa is an associate professor in the Graduate School of Engineering, Nagoya University. He received his Ph.D. degree in media and governance from Keio University in 2010. His research interests are the intersection of distributed systems, human-computer interaction, and sensors/actuators technologies. He has led several smart city projects as a technical coordinator, such as FP7/ Horizon2020/NICT European-Japanese collaborative research project (ClouT/ BigClouT project), and others.

Speaker 2 (30 min.)   
Name: Mr. Yoshimasa Gunji
Organization: BHN Association, Japan
E-mail: gunji@bhn.or.jp
Title: Field experiments with multiple "Smart Village" applications over the private LoRa Mesh network in Sri Lanka
Abstract: We built a mesh-type network infrastructure using private LoRa and Raspberry Pi and conducted a field experiment in rural areas of Sri Lanka. In this experiment, we not only collected data from various sensors installed on the network—including weather sensors (temperature, humidity, solar radiation, wind speed, wind direction, and rainfall), oxygen concentration sensors, and river water level sensors—but also implemented multiple applications for shared use.
One such application involved transmitting signals from button-type alert devices carried by elderly individuals and pregnant women, which triggered alerts for administrators. Another application allowed administrators to input text messages into the system, which were then converted into speech and broadcast through loudspeakers attached to the network devices.
This presentation will introduce the details of these field experiments and the developed system.

IoT (Internet of Things) is a key technology to deepen the digitization of society, and therefore many people believe the importance of promoting IoT research, development, and deployment for future society growth. The APAN IoT Working Group is a forum for discussions and collaborations on IoT platforms, infrastructures, services, and applications. Please feel free to present your IoT-related applications and services, including case studies of demonstrations and work-in-progress experiments.
Speaker3 (30 min.) <online presentation>
Name: Mr. Abhimanyu Pandey
Organization:  ICT4D, Nepal
Email: iampandey@gmail.com
Title: Integrated LPWAN and Edge Computing Systems
Abstract: 
Developing a trustworthy (high sensitivity, high specificity) Early Warning System (EWS) for Climatic and/or Geological Events is not only a challenge but also crucial for any nation. With the vagaries in weather patterns, even seemingly minor disturbances can at times lead to major disaster type events. Many disasters related to water (e.g. flooding, etc.), lightening (e.g. fire, etc.), and many other events related to climate and geological causes can become large scale disasters as they move into populated regions.
In Nepal, there are many instances of flooding which have a multiplier effect due to the path which the flood waters take, especially through downstream water catchment or watershed regions. Hence, EWS serves simultaneously serves multiple purposes in Risk Reduction, Resource Allocation, Public Safety, etc.
The project team is in the research phase on how to integrate Edge Computing with Internet of Things (IoT) Sensor Networks (e.g. LoRaWAN) to enhanced Early Warning System.

Research Problem
It is essential to have time critical decisions at the point of data collection (point of incidence) rather than routing all sensor data to a central Data Center for analysis and processing.
This is the reason to integrate IoT (Data Network) with Edge Computing (Decision Making) in low logical latency environments.
This presentation is a presentation on our current research.
BIO: Abhimanyu Pandey is a team member of a profit-not-distributing research and outreach centric company based in Nepal. We work on projects based on Private Public Partnership business models to ensure sustainability through high quality service delivery. I specifically research intranet and local cache based systems in rural regions. I am also involved in developing and implementing rural and remote healthcare delivery models as part of the larger impetus to streamline Government to Citizen (G2C) services. Our most current focus is on Reproductive, Maternal, and Child healthcare delivery, especially through non-institutional healthcare delivery settings and non-traditional patient encounters.

Speaker4 (30 min.)  <online presentation>
Name:  Dr. Samo Grasic
Organization:  Dálvvadis Economical Association, Sweden
Email: samo@grasic.net
Title: Benefit Today from Future Interplanetary Internet Architecture
Abstract:
Originally designed for interplanetary communications, Delay/Disruption Tolerant Networking (DTN) offers robust and resilient solutions for terrestrial applications as well. This talk provides an overview of DTN fundamentals, highlights practical deployments—including ongoing plans in Nepal—and explores how the technology addresses connectivity challenges in remote environments. Through real examples, we’ll see how space-driven networks can bring transformative benefits here on Earth.
BIO: Dr. Samo Grasic is the initiator of LateLab AB, specializing in custom Delay Tolerant Networking (DTN) solutions for communication-challenged environments. In 2024, he became the lead of IPNSIG’s Project Working Group, underscoring his dedication to advancing DTN technologies and standards. Since 2016, he has worked at Dálvvadis Economical Association, spearheading the Nomatrack LoRa-DTN platform for reindeer herding in remote Arctic regions. Dr. Grasic earned his PhD from Luleå University of Technology and brings over a decade of experience bridging academia and industry, with expertise in routing, low-power systems, and the social impacts of ICT deployments.

The objective of this training is to introduce Network Automation using a combination of theory and practical demonstrations. At the conclusion, the participants should have a good understanding of what Network Automation is, and how it can be applied in their environments to simplify network management, improve operational efficiency, and minimise human errors. It is assumed that participants have a basic understanding of network operations, Internet technologies, OSI reference model, TCP/IP, and are comfortable using Command Line Interface (CLI) in Linux and at least one router operating system.

Routing Working Group - Face to Face Meeting.

• Routing Security Update from Thomas Araneta at Internet2
• Update from other NREN/participants
• Routing investigations update
• General Discussion

Working Group and BoF Chairs come together to discuss improvements and moving forward plans. Future BoFs are also invited to join the session

The Events and Program Committee comes together to discuss on the current APAN meeting and future hosts. Future hosts from NRENs are welcome to join the meeting