IEEE/IFIP Network Operations and Management Symposium
6–10 May 2024 // Seoul, South Korea

AnNet 2024


Topics of Interest

Authors are invited to submit papers that fall into or are related to one or multiple topic areas listed below:

Data analytics
- Analysis, modeling and visualization
- Operational analytics and intelligence
- Event, log and big data analytics
- Network traffic analysis
- Anomaly detection and prediction
- Crowd sensing
- Monitoring and measurements for management
- Predictive and real-time analytics
- Harnessing social data for management
- Clustering and data mining
- Mining spatiotemporal and time series data

Machine learning techniques
- Machine learning
- Federated learning
- Generative AI
- Explainable AI
- Reinforcement learning
- Multi-agent based learning
- Cognitive computing

Network management paradigms
- Autonomous and autonomic networks
- Fog/edge computing
- In-network processing
- Bio-inspired networks and self-management
- Cognitive and software defined networks
- Network function virtualization
- Security, fault, performance, and resource management
- Programmable data plane

Application domains
- Computer networks
- 5G advanced and 6G
- Mobile ad-hoc and wireless sensor networks
- Clouds and data centers
- Virtualized infrastructures
- Internet of Things
- Computing and network services
- IT service management, storage resource management

Submission instruction

Paper submissions must present original, unpublished research or experiences. Only original papers that have not been published or submitted for publication elsewhere can be submitted. Each submission must be written in English, accompanied by a 75 to 200 words abstract that clearly outlines the scope and contributions of the paper. There is a length limitation of 6 pages excluding references for regular papers, and 4 pages excluding references for short papers (work in progress). Submissions must be in IEEE 2-column style. Self-plagiarised papers will be rejected without further review. Authors should submit their papers via the JEMS system.


Papers accepted for AnNet 2024 will be included in the conference proceedings, IEEE Xplore, IFIP database and EI Index. IFIP and IEEE reserve the right to remove any paper from the IFIP database and IEEE Xplore if the paper is not presented by one of its authors at the workshop. Awards will be presented to the best paper at the workshop.

Important Dates

  • Paper Submission: Feb. 2, 2024 (Extended)
  • Acceptance Notification: March 1, 2024
  • Camera-Ready Papers: March 15, 2024


Date: May 6th – 2024
All times are KST time.
Conference Room: Bipa

9:00 – 10:00 Keynote:
AI and Data Analytics for Network Service Design and Resource Control
Ved Kafle (National Institute of Information and Communications Technology, Japan)
10:30 – 11:00 Short Paper Session 1: Network Operation and Analysis
Room: Bipa
10:30 – 11:00 Improvement of Segment Length Selection Method for DASH Considering Shared Bottleneck Links Sumiko Miyata (Shibaura Institute of Technology)
Optimal quadratic control of queues by dynamic service rates Rubén Milocco (Universidad Nacional del Comahue), Paul Mühlethaler (INRIA), Selma Boumerdassi (CNAM), Eric Renault (ESIEE Paris)
Practical Anomaly Detection in Internet Services: An ISP centric approach Alex Huang Feng (INSA Lyon – CITI), Pierre Francois (INSA Lyon – CITI), Kensuke Fukuda (National Insutitute of Informatics), Wanting du (Swisscom), Thomas Graf (Swisscom), Paolo Lucente (pmacct), Stéphane Frénot (INSA Lyon – CITI)
Packet Continuity DDoS Attack Detection for Open Fronthaul in ORAN System Jung-Erh Chang (National Taiwan University of Science and Technology), YI-CHEN CHIU (National Taiwan University of Science and Technology), Yi-Wei Ma (National Taiwan University of Science and Technology), Zhi-Xiang Li (National Taiwan University of Science and Technology), Chenglong Shao (Kyushu Institute of Technology)
A Preliminary Study on the Aggregation of FIBs ICN Routers using Routing Strategy Ryo Nakamura (Fukuoka University), Noriaki Kamiyama (Ritsumeikan University)
Analysis on a Performance and Fairness Tradeoff in Entanglement Routing for Quantum Networks Shu Ichinoseki (Osaka University), Yuki Koizumi (Osaka University), Junji Takemasa (Osaka University), Toru Hasegawa (Osaka University)
11:00 – 12:30 Session 1: Security
Room: Bipa
Chair: Raouf Abozariba (Birmingham City University)
11:00 – 12:30 IP Geolocation with Adversarial Probe Mitigation Andikan Otung (Fujitsu Laboratories of Europe), Kenji Hikichi (Fujitsu Limited), Yasuki Fujii (Fujitsu Limited), Motoyoshi Sekiya (Fujitsu Limited)
Investigating Impact of DDoS Attack and CPA Targeting CDN Caches Jiaqi Liu (Ritsumeikan University), Noriaki Kamiyama (Ritsumeikan University)
Optimum Worker Sampling in Crowdsensing with Multiple Areas Chihiro Matsuura (Ritsumeikan University), Noriaki Kamiyama (Ritsumeikan University)
Comparing Two-stage Clustering Methods for Traffic Pattern Analysis in IoT Device Identification Mizuki Asano (Shibaura Institute of Technology), Takumi Miyoshi (Shibaura Institute of Technology), Taku Yamazaki (Shibaura Institute of Technology)
12:30 – 14:00 Lunch Time  
14:00 – 15:30 Session 2: Network Operation and Analysis
Room: Bipa
Chair: Yuki Koizumi (Osaka University)
14:00 –15:30 Discovery of Cloud Incidents through Streaming Consolidation of Events across Timeline and Topology Hierarchy Ashot Harutyunyan (Yerevan State University), Naira Grigoryan (VMWare), Artur Grigoryan (VMWare), Vahan Tadevosyan (VMWare), Nelson Baloian (Universidad de Chile), Arnak Poghosyan (IMRA), Tigran Bunarjyan (Technische Universität München)
Radio Environment Maps through Spatial Interpolation: A Web-based Approach Md Abrar Jahin Almazi Bipon (Birmingham City University), Md Shantanu Islam (Birmingham City University), A. Taufiq Asyhari(Monash University), Adel Aneiba, Raouf Abozariba (Birmingham City University, United Kingdom)
Reconfiguration with Virtual Gate Control List for Deterministic Transmission in Time-Sensitive Networks Mengjie Guo (Beijing University of Posts and Telecommunications), Guochu Shou (Beijing University of Posts and Telecommunications), Yaqiong Liu (Beijing University of Posts and Telecommunications), Yihong Hu (University of Posts and Telecommunications)
Microservices in Edge and Cloud Computing for Safety in Intelligent Transportation Systems João Oliveira (Universidade de Aveiro), Pedro Teixeira (Universidade de Aveiro), Pedro Rito (Instituto de Telecomunicações), Miguel Luis (Instituto de Telecomunicações), Susana Sargento (Universidade de Aveiro), Bruno Parreira (NOSTech)
15:30 – 16:00 Short Paper Session 2: AI
Room: Bipa
15:30 – 16:00 Machine learning-based estimation of the number of competing flows at a bottleneck link Zeyou Xia (Tohoku University), Go Hasegawa (Tohoku University)
A ML-Based Model for Evaluating the Power Consumption of Network Devices Chi-Sheng Hsu (Network Management Laboratory, Chunghwa Telecom Laboratories Co., Ltd.,), Yi-Cheng Chu, Ya-Ping Huang(CHT), Huang Lung-Chin (Chunghwa Telecom Telecommuication Laboratories), Teng Che-Chun (Chunghwa Telecom Labs), Chin-Ping Chuang (CHT)
One-Class Learning on Temporal Graphs for Attack Detection in Cyber-Physical Systems Robin Buchta (HSH), Tobias Fritz (Universität der Bundeswehr München), Carsten Kleiner (HSHANNOVER), Felix Heine (HSH), Gabi Dreo Rodosek (University of Federal Armed Forces, Munich)
AI-Driven Traffic-Aware Dynamic TDD Configuration in B5G Networks

Sanguk Jeong (Samsung Electronics, Sungkyunkwan University), Dahyun Mok, Gyurin Byun, Lusungu J. Mwasinga, Hyunseung Choo (Sungkyunkwan University)

Federated Learning-Driven Edge AI for Enhanced Mobile Traffic Prediction Hyunsung Kim, Yeji Choi, Jeongjun Park, Lusungu J. Mwasinga, Hyunseung Choo (Sungkyunkwan University)
Completion of Traffic Matrix by Tensor Nuclear Norm Minus Frobenius Norm Minimization and Time Slicing Takamichi Miyata (Chiba Institute of Technology)
16:00 – 17:30 Session 3: AI
Room: Bipa
Chair: Taufiq Asyhari (Monash University)
16:00 – 17:30 Comparing transfer learning and rollout for policy adaptation in a changing network environment Forough Shahab Samani (KTH Royal Institute of Technology), Hannes Larsson (Ericsson Research), Simon Damberg (Ericsson Research), Andreas Johnsson (Ericsson Research), Rolf Stadler (KTH The Royal Institute of Technology)
Real-Time Application Identification Method for Mobile Networks Using Machine Learning Tatsuhiro Ou (The University of Tokyo), Akihiro Nakao (The University of Tokyo)
Towards a Transformer-Based Pre-trained Model for IoT Traffic Classification Bruna Bazaluk (USP), Mosab Hamdan (KFUPM), Mustafa Ghaleb (King Fahd University of Petroleum and Minerals), Mohammed Gismalla (KFUPM), Flávio Soares Corrêa da Silva (USP), Daniel Macêdo Batista (University of São Paulo)
Identifying IoT Devices: A Machine Learning Analysis Using Traffic Flow Metadata Jeffrey Adjei (Dalhousie University), Nur Zincir-Heywood (Dalhousie University), Biswajit Nandy (Carleton University), Nabil Seddigh (Solana Networks)