Technical Sessions

Technical Session 1 (TS1)

Wednesday, September 6, 2023, 09:00-10:30, Track II

Theme: Artificial Intelligence and Machine Learning
Chair: Te-Chuan Chiu (National Tsing Hua University, Taiwan)

TS1-1 Test Suite Generation Based on Context-Adapted Structural Coverage for Testing DNN
Wei Kong (Nanjing University of Information Science and Technology, China); Cao Huayang (National University of Defense Technology, China); Hu Li (Nanjing University of Information Science and Technology); Tong Wang (Nanjing University of Information Science and Technology, Japan); Jianwen Tian (National University of Defense Technology, China); Xiaohui Kuang (Academy of Military Science, China)
TS1-2 Metalens: Federated Meta-Learning Ensemble Using Flexible Classifiers on Non-IID Data
Ming-Hsuan Tsai (National Taiwan University & Academia Sinica, Taiwan); Wei-Sheng Syu (National Taiwan University, Taiwan); Te-Chuan Chiu (National Tsing Hua University, Taiwan); Sheng Chen and Chia-Che Sa (National Taiwan University, Taiwan); Yuan-Yao Shih (National Chung Cheng University, Taiwan); Ai-Chun Pang (National Taiwan University, Taiwan)
TS1-3 Distribution Matching with Multi-Formation Function for Dataset Distillation
Hieu Quang Vo and Choong Seon Hong (Kyung Hee University, Korea (South))
TS1-4 Knowledge Distillation in Federated Learning: Where and How to Distill?
Yu Qiao, Chaoning Zhang, Huy Q. Le, Avi Deb Raha, Apurba Adhikary and Choong Seon Hong (Kyung Hee University, Korea (South))

Technical Session 2 (TS2)

Wednesday, September 6, 2023, 10:45-12:15, Track II

Theme: Edge/Fog/Cloud Computing
Chair: Myung-Sup Kim (Korea University, Korea)

TS2-1 Mobility-Aware Fog Offloading
Young Choon Lee and Ferdous Sharifi (Macquarie University, Australia); Shaahin Hessabi and Ali Rasai (Sharif University of Technology, Iran); Melika Honarmand (Amirkabir University of Technology, Iran)
TS2-2 EFCKD: Edge-Assisted Federated Contrastive Knowledge Distillation Approach for Energy Management: Energy Theft Perspective
Luyao Zou, Huy Q. Le and Avi Deb Raha (Kyung Hee University, Korea (South)); Dong Uk Kim (Kyung Hee & Networking Intelligence, Korea (South)); Choong Seon Hong (Kyung Hee University, Korea (South))
TS2-3 Cluster Caching Strategy Based on User Characteristics in Edge Networks
Ye Zhang (Qilu University of Technology, China); Wei Zhang (Qilu University of Technology(Shandong Academy of Sciences), China); Hao Hao (Shandong Academy of Sciences & Shandong Computer Science Center, China); Kai Zhang (Qilu University of Technology, China)
TS2-4 Optimizing Performance Using GPU Cache Data Residency Based on Application's Access Patterns
Theodora Adufu (Sookmyung Womens University, Korea (South)); Yoonhee Kim (Sookmyung Women's University, Korea (South))

Technical Session 3 (TS3)

Wednesday, September 6, 2023, 15:00-16:40, Track I

Theme: Network Security
Chair: Woojin Seok (KISTI, Korea)

TS3-1 Machine Learning-Based Approach for Enhancing Multi-Step Attack Prediction
Yueyang Li (National University of Singapore, Singapore); Wenjun Fan (Xi'an Jiaotong-Liverpool University, China); Ruxue Luo (Xi'an Jiaotong - Liverpool University, China)
TS3-2 Malicious Traffic Classification for IoT Based on Graph Attention Network and Long Short-Term Memory Network
Lei Zhang, Lizhuang Tan, Huiling Shi and Hongyang Sun (Qilu University of Technology (Shandong Academy of Sciences), China); Wei Zhang (Qilu University of Technology(Shandong Academy of Sciences), China)
TS3-3 CA-STCNN: An Attention-Based Hybrid Deep Learning Model for Encrypted Traffic Classification
Hongyang Sun, Huiling Shi, Lei Zhang, Lei Huang and Wei Zhang (Qilu University of Technology (Shandong Academy of Sciences), China)
TS3-4 Cooperative Spectrum Sensing Method Against Spectrum Sensing Data Falsification Attack
Xiaojun Wu, Zhenghan Tang and Yaya Lu (Xi'an Jiaotong University, China); Daolong Wu (China Electronics Technology Group Corporation 20th Institute, China); Haitao Xiao and Yong Tang (Xi'an Jiaotong University, China)

Technical Session 4 (TS4)

Wednesday, September 6, 2023, 15:00-16:40, Track II

Theme: SDN/NFV 1
Chair: Ved P. Kafle (NICT, Japan)

TS4-1 SMWT: A Universal and Lightweight SDN-Based Meter Table Watermarking Traceback Scheme
Heng He and Sen Yang (Wuhan University of Science and Technology, China); Xiaohu Zhou (Guilin Medical University, China); Jia Wang (Wuhan University of Science and Technology, China)
TS4-2 Blockchain and Intent-Based Networking: A Novel Approach to Secure and Accurate Network Policy Implementation
Javier Jose Diaz Rivera, Afaq Muhammad and Wang-Cheol Song (Jeju National University, Korea (South))
TS4-3 When Configuration Verification Meets Machine Learning: A DRL Approach for Finding Minimum K-Link Failures
Hao Chen (Xiamen University, China); Yili Jin (McGill University, Canada); Weipeng Wang (Xiamen University, China); Wei Liu (NARI Group Corporation. State Grid Electric Power Research Institute Nanjing, Singapore); Lizhao You, Liqun Fu and Qiao Xiang (Xiamen University, China)
TS4-4 Efficient Decomposition-Based Methods for Optimal VNF Placement and Chaining
Issam Abdeldjalil Ikhelef (Université Sorbonne Paris Nord & L2TI - Institut Galilée, France); John A Warwicker and Steffen Rebennack (Karlsruhe Institute of Technology, Germany); Mohand Yazid Saidi (University of Paris 13, France); Ken Chen (Université Paris 13, France)

Technical Session 5 (TS5)

Thursday, September 7, 2023, 10:30-12:10, Track I

Theme: Vehicular Networks
Chair: Yuji Nomura (Fujitsu, Japan)

TS5-1 Research on Fog Computing Offloading Mechanism for VANETs
Kexin Zhou (Inner Mongolia University, China); Xiangyu Bai (Inner Mongolia University & Institute of Computing Technology, Chinese Academy of Sciences, China)
TS5-2 Performance Enhancements of C-V2X Mode 4 with Virtual Cell and Resource Usage Bitmap
Moin Ali and Young-Tak Kim (Yeungnam University, Korea (South))
TS5-3 QKD-Based Secure Communication for UAV
Zhenxu Gao and Wenjun Fan (Xi'an Jiaotong-Liverpool University, China); Ruxue Luo (Xi'an Jiaotong - Liverpool University, China)
TS5-4 Segment Anything Model Aided Beam Prediction for the Millimeter Wave Communication
Avi Deb Raha and Apurba Adhikary (Kyung Hee University, Korea (South)); Md. Shirajum Munir (Old Dominion University, USA); Yu Qiao and Choong Seon Hong (Kyung Hee University, Korea (South))

Technical Session 6 (TS6)

Thursday, September 7, 2023, 10:30-12:10, Track II

Theme: SDN/NFV 2
Chair: Pang-Wei Tsai (National Cheng Kung University, Taiwan)

TS6-1 An Energy Efficient SDN Controller Placement with Delay Constraints
Tomofumi Kondo and Luis Guillen (Tohoku University, Japan); Satoru Izumi (National Institute of Technology Sendai College, Japan); Toru Abe, Takaaki Mizuki and Takuo Suganuma (Tohoku University, Japan)
TS6-2 Design and Development of a Trust Mechanism to Enhance Security Protection on SDN-Based IoT Network
Pang-Wei Tsai (National Cheng Kung University, Taiwan); Chao-Wei Lee and Ting-Wen Wang (National Central University, Taiwan)
TS6-3 Network Traffic Prediction and Auto-Scaling of SFC Using Temporal Fusion Transformer
MinJi Choi and Heegon Kim (POSTECH, Korea (South)); Jae-Hyoung Yoo (Pohang University of Science and Technology, Korea (South)); James Won-Ki Hong (POSTECH, Korea (South))

Technical Session 7 (TS7)

Thursday, September 7, 2023, 13:10-14:50, Track II

Theme: 5G Network
Chair: Kyungbaek Kim (Chonnam National University, Korea)

TS7-1 Accelerating free5GC Data Plane Using Programmable Hardware
Muthuraman Elangovan (National Yang Ming Chiao Tung University, Taiwan); Muhammad Shahid Iqbal (National Yang-Ming Chiao Tung University, Taiwan); Chien Chen and Jyh-Cheng Chen (National Yang Ming Chiao Tung University, Taiwan)
TS7-2 Latency Minimization in Terrestrial-Non-Terrestrial Integrated Network: Joint Association and Bandwidth Allocation Framework
Nway Nway Ei, Ki Tae Kim, Yu Min Park and Choong Seon Hong (Kyung Hee University, Korea (South))
TS7-3 Heterogeneous UPF Integration Framework and 5G User Plane Acceleration
Tse-Han Wang, Min-Chih Hu and Li-Hsing Yen (National Yang Ming Chiao Tung University, Taiwan); Chien-Chao Tseng (National Chiao-Tung University, Taiwan)
TS7-4 Energy Saving in 5G Cellular Networks Using Machine Learning Based Cell Sleep Strategy
YinHsin Liu and Bo-Chen Kung (Chunghwa Telecom Laboratories, Taiwan)

Technical Session 8 (TS8)

Thursday, September 7, 2023, 15:00-16:40, Track II

Theme: Network Monitoring and Configuration
Chair: Meng-Shiuan Pan (National Taipei University of Technology, Taiwan)

TS8-1 Analyzing the Effect of Observer Node Addition Strategy on Bitcoin Double-Spending Attack Detection Using Graph Neural Network
Changhoon Kang, Jongsoo Woo and James Won-Ki Hong (POSTECH, Korea (South))
TS8-2 CSLog: Anomaly Detection for Syslog Based on Contrastive Self-Supervised Representation Learning
Shuhao Yan, Shanshan Wang, Zhenxiang Chen and Xiaoqing Jiang (University of Jinan, China); Xueyang Cao (Uninersity of Jinan, China)
TS8-3 An Anomaly Detection Approach by AIML in IP Networks with eBPF-Based Observability
Minato Sakuraba and Takuya Miyasaka (KDDI Research, Inc., Japan)
TS8-4 Online Updating in Multicast Time-Sensitive Networking
Jiachen Wen, Ying Wang, Qianqian Zhang, Jingjing Chen and Xuesong Qiu (Beijing University of Posts and Telecommunications, China)

Technical Session 9 (TS9)

Friday, September 8, 2023, 10:30-12:10, Track I

Theme: Network Management
Chair: Yoonhee Kim (Sookmyung Women's University, Korea)

TS9-1 A Efficient Adaptive Data Rate Algorithm in LoRaWAN Networks: K-ADR
Yi Jiang, Minghua Wang and Xingbin Wang (University of South China, China)
TS9-2 A Heuristic Online Algorithm for Routing in Large-Scale Deterministic Networks
Mengyu Wang (Institute of Computing Technology, Chinese Academy of Sciences, China; University of Chinese Academy of Sciences, China); Shuyong Zhu (Institute of Computing Technology Chinese Academy of Sciences, China); Yujun Zhang (Institute of Computing Technology, Chinese Academy of Sciences, China)
TS9-3 Enhancing QoE of WebRTC-Based Video Conferencing Using Deep Reinforcement Learning
Kyungchan Ko, Sangwoo Ryu and James Won-Ki Hong (POSTECH, Korea (South))
TS9-4 Federated Multimodal Learning for IoT Applications: A Contrastive Learning Approach
Huy Q. Le, Yu Qiao, Loc X. Nguyen, Luyao Zou and Choong Seon Hong (Kyung Hee University, Korea (South))