Frontiers of Networking Technologies

Name: Frontiers of Networking Technologies | First China Conference on Networking, CCF ChinaNet 2023, Wenzhou, China, September 8-10, 2023, Proceedings
Brand: Springer
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First China Conference on Networking, CCF ChinaNet 2023, Wenzhou, China, September 8-10, 2023, Proceedings

Xingwei Wang Mingwei Xu Xiaoqiu Shi Fan Wu(Herausgeber*in)

Springer (Verlag)

Erschienen am 9. Juli 2024

X, 208 Seiten

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978-981-97-3890-8 (ISBN)

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Beschreibung

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Inhalt

Intro
Preface
Organization
Contents
Remote Sensing GEO Relay Transmission Scheme Based on Mission Awareness Under Dynamic Topology
1 Introduction
2 Network Model
3 Remote Sensing GEO Relay Transmission Scheme Based on Mission Awareness Under Dynamic Topology-GRT-TADT
3.1 Link Selection
3.2 Task Description
4 GEO Resource Allocation
4.1 Function Definitions
4.2 Objective Function Solution
4.3 GEO Benefits
4.4 GEO Resource Allocation Algorithm
5 Experimental Results and Analysis
5.1 Dynamic Topology Analysis
5.2 Analysis of GEO Resource Allocation
6 Conclusion
References
Review of Image Encryption Based on Bibliometrics and Visualized Analysis
1 Introduction
2 Data Source and Methodology
2.1 Data Sources and Pre-processing
2.2 Research Methods
3 Results
3.1 Annual Publication Outputs Analysis
3.2 The Publication of the Countries and Institutions Analysis
3.3 High-Quality Journals Analysis
3.4 Highly Cited Scholar Representatives Analysis
3.5 High-Influence Literature Analysis
3.6 Visual Analysis of Author Relationships
3.7 Visual Analysis of Countries Cooperation
3.8 Visual Analysis of Organizations Cooperation
3.9 Visual Analysis of High Frequency Keywords
4 Conclusions and Outlook
References
DDPG-FL: A Reinforcement Learning Approach for Data Balancing in Federated Learning
1 Introduction
2 Related Work
2.1 The Non-IID Challenge in Federated Learning
2.2 Federated Learning Algorithms on Non-IID Data Distribution
2.3 Deep Reinforcement Learning for Federated Learning
3 DDPG-FL
3.1 Formulation and Motivation
3.2 Workflow
3.3 DRL Settings
4 Experiment
4.1 Experimental Setup
4.2 Experiment Results
5 Conclusion
References
Adaptive Recovery with Reinforcement Learning in Cloud-of-Clouds Storage Systems
1 Introduction
2 Background and Motivation
2.1 Preliminary of Cloud-of-Clouds Storage
2.2 Measurement Setup
2.3 Measurement Results
2.4 Beyond the Regeneration Process: A Motivation Example
3 System Modeling and Problem Formulation
3.1 Network Topology
3.2 Network Traffic for Cooperative Regeneration Tree
3.3 Network Traffic Optimization
3.4 Expectation of Regeneration Time
4 Proposed RLDR Scheme
4.1 Generating Regeneration Tree
4.2 Expect Regeneration Time Updating
4.3 Reinforcement Learning Based Data Recovery
5 Experiments
5.1 Experimental Setup
5.2 Advantage of Our RLDR Scheme
6 Conclusion
References
DAG: A Lightweight and Real-Time Edge Defense Model for IoT DDoS Attacks
1 Introduction
2 System Modeling
2.1 Task Definition
2.2 Sequence Model
2.3 ShuffleNet
3 DDoS Attack Guard Scheme
3.1 Bi-GRU Module
3.2 ShuffleNet Module
3.3 Loss
4 Evaluation
5 Conclusion
References
A Data Publishing Method for Trajectory Privacy Classification Based on Differential Privacy
1 Introduction
2 Related Work
3 Trajectory Data Publishing Method
3.1 Methodology and Procedure
3.2 Trajectory Privacy Classification
3.3 Differential Privacy Protection
4 Experimental Analysis
4.1 Experimental Datasets and Environments
4.2 Algorithmic Analysis
5 Conclusions
References
Towards Anomaly Traffic Detection with Causal Interpretability Methods
1 Introduction
2 Literature Review
3 Interpretable Anomaly Detection with SCM Construction and Pruning
3.1 Introduction to the Holistic Approach
3.2 Remove the False Associations Between Features
3.3 Feature Selection Based on Causal Effect
3.4 Counterfactual Diagnosis
4 Detection Performance Evaluation
4.1 Experimental Setup
4.2 Experimental Results and Analysis
5 Conclusion
References
Multi-class Intrusion Detection System in SDN Based on Hybrid LSTM Model
1 Introduction
2 Related Work
3 Methodology
4 Experiments and Results
5 Conclusions
References
Design and Implementation of Computing Based Service Chain Orchestration Framework
1 Introduction
2 System Design of the C-SFC Framework
2.1 Computing Power Awareness and Modeling
2.2 Computing Power Identification and Tracking
2.3 Computing Power Orchestration and Management
3 Algorithm Design
4 Experimental Environment
5 Experimental Results
6 Summary
References
Towards Smart Stream Scheduler for Multipath QUIC in Heterogeneous Networks
1 Introduction
2 Related Work
2.1 Schedulers Based on Round-Robin Strategy
2.2 Schedulers Based on Path Characteristics
2.3 Stream-Aware Schedulers
3 Framework Design
4 Algorithm Design
4.1 DDQN Stream Scheduling Model Definition
4.2 Update and Stream Scheduling Process of DDQN Algorithm
5 Experimental Analysis
5.1 Algorithm Implementation and Experimental Setup
5.2 Performance Evaluation
6 Conclusion
References
VotePipe: Efficient Heavy Hitter Detection in Programmable Data Plane
1 Introduction
2 Background and Motivation
2.1 P4 Language and Programmable Switch
2.2 Related Work and Limitations
3 Design Goals
4 VotePipe Design
4.1 Flow Count Decay Mechanism
4.2 Flow Filtering and Updating Mechanism
5 VotePipe Architecture
5.1 Overall Architecture
5.2 Data Structure
5.3 Workflow
5.4 Control Plane
5.5 Key Parameter Determination
6 Implementation
6.1 Data Structure
6.2 Deploy Register Arrays and Relevant Actions
7 Evaluations
7.1 Experimental Setup
7.2 Baseline Algorithms and Metrics
7.3 Experimental Results
8 Conclusion
References
SDN Based Network Path Planning Optimization for Printing Cloud Service
1 Introduction
2 System Modeling
3 Proposed Optimization Method(s)
3.1 Smart Contract
3.2 QoS-Aware Path Planning Algorithm
3.3 Link State Alert Mechanism
4 Experiment
5 Conclusion
References
A Survey on Security Issues of SDN Controllers
1 Introduce
1.1 Software Defined Network
1.2 Safety Hazards of SDN Controllers
2 Controller Security Threats
2.1 Scan Attack
2.2 DDoS Attacks
2.3 Packet Injection
2.4 Flow Rule Tampering
2.5 Fake Controller
2.6 Malicious Applications
2.7 Unsafe API
2.8 Brief Summary
3 Analysis of Common Controller Safety Measures
3.1 ONOS
3.2 Ryu
3.3 OpenDaylight
4 Future Development Trends of SDN Controller Security Defense
4.1 IDS
4.2 MTD
5 Summary
References
Author Index

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