
Advanced Information Networking and Applications
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The aim of the book "Advanced Information Networking and Applications" is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
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Content
- Intro
- Welcome Message from AINA-2021 Organizers
- AINA-2021 Organizing Committee
- General Co-chairs
- Program Committee Co-chairs
- Workshops Co-chairs
- International Journals Special Issues Co-chairs
- Award Co-chairs
- Publicity Co-chairs
- International Liaison Co-chairs
- Local Arrangement Co-chairs
- Finance Chair
- Web Co-chairs
- Steering Committee Chairs
- Tracks and Program Committee Members
- 1. Network Protocols and Applications
- Sec300
- Sec301
- 2. Next Generation Wireless Networks
- Sec303
- Sec304
- 3. Multimedia Systems and Applications
- Sec305
- Sec306
- 4. Pervasive and Ubiquitous Computing
- Track Co-chairs
- TPC Members
- 5. Web-Based and E-Learning Systems
- Sec331
- TPC Members
- 6. Distributed and Parallel Computing
- Sec256
- Sec251
- 7. Data Mining, Big Data Analytics and Social Networks
- Sec261
- Sec389
- 8. Internet of Things and Cyber-Physical Systems
- Sec265
- Sec266
- 9. Intelligent Computing and Machine Learning
- Sec291
- Sec298
- 10. Cloud and Services Computing
- Sec351
- Sec352
- 11. Security, Privacy and Trust Computing
- Sec365
- Sec366
- 12. Software-Defined Networking and Network Virtualization
- Sec382
- Sec399
- AINA-2021 Reviewers
- AINA-2021 Keynote Talks
- The Role of Artificial Intelligence in the Industry 4.0
- Localization in 6G
- Contents
- RADAR - Regression Based Energy-Aware DAta Reduction in WSN: Application to Smart Grids
- 1 Introduction
- 2 Related Work
- 3 Proposed Solution
- 4 Simulation Setup
- 4.1 Data Preparation
- 4.2 Building Models
- 5 Performance Evaluation
- 5.1 Data Reduction Percentage
- 5.2 Root Mean Square Error
- 5.3 Energy Consumption
- 6 Discussion
- 7 Conclusion and Future Work
- References
- A Probabilistic Preamble Sampling Anycast Protocol for Low-Power IoT
- 1 Introduction
- 2 Related Work
- 3 AGAp-MAC Protocol
- 4 Experimental Results
- 5 Conclusion
- References
- Towards an IoT Architecture to Pervasive Environments Through Design Science
- 1 Introduction
- 2 Concepts and Related Work
- 2.1 Digital Transformation
- 2.2 Big Data
- 2.3 Related Work
- 3 Proposed Architecture for the Development of Pervasive Applications
- 4 Evaluation
- 5 Conclusion and Future Work
- References
- ASAP - Academic Support Aid Proposal for Student Recommendations
- 1 Introduction
- 2 Related Work
- 3 ASAP: Academic Support Aid Proposal
- 4 Experimental Results and Data Generation
- 4.1 Body Sensors Simulation
- 4.2 Monitoring Environment Solution
- 4.3 Recommendation API
- 5 Conclusion and Future Works
- References
- A Method of Expanding Photo-Based User Preference Profile for the Recommendation of Sightseeing Places
- 1 Introduction
- 2 Related Work
- 3 Motivating Example
- 4 Proposed Method
- 4.1 Recommendation System of Sightseeing Places Based on User's Preferences
- 4.2 Expansion of Photo-Based User Profile
- 5 Experiment
- 5.1 Experiment 1
- 5.2 Experiment 2
- 6 Conclusion
- References
- Antlion Optimizer Based Load-Balanced Transaction Scheduling for Maximizing Reliability
- 1 Introduction
- 2 Problem Formulation
- 2.1 Reliability Model
- 2.2 Reliability Model
- 3 Antlion Optimizer
- 3.1 Ant Lion Optimizer
- 3.2 Inspiration
- 3.3 Operators of the ALO Algorithm
- 3.4 Random Walks of Ants
- 3.5 Trapping in Antlion's Pits
- 3.6 Building Trap
- 3.7 Sliding Ants Towards Antlion
- 3.8 Catching Prey and Re-building the Pit
- 3.9 Elitism
- 3.10 Roulette Wheel
- 4 Proposed Algorithm
- 5 Applying the Algorithm
- 6 Simulation and Result Analysis
- 6.1 Result Evaluation
- 7 Conclusion and Future Directions
- References
- An Adaptive Large-Scale Trajectory Index for Cloud-Based Moving Object Applications
- 1 Introduction
- 2 Related Work
- 3 Dynamic Moving Object Index
- 4 Experimental Study
- 5 Conclusion
- References
- High-Level Approach for the Reconfiguration of Distributed Algorithms in Wireless Sensor Networks
- 1 Introduction
- 2 Preliminaries
- 2.1 The Graph Relabelling System (GRS) for Distributed Algorithms
- 2.2 The Local Computations Model for WSN (LC-WSN)
- 3 Reconfiguring Distributed Algorithms for WSNs
- 4 Simulation of a Reconfiguration Example
- 5 Conclusion and Future Work
- References
- Fast and Scalable Triangle Counting in Graph Streams: The Hybrid Approach
- 1 Introduction
- 1.1 Contributions
- 2 Prior Work
- 3 Fixed Probability vs Fixed Memory Algorithms
- 3.1 Fixed Probability Algorithms
- 3.2 Fixed Memory Algorithms
- 3.3 Analysis
- 4 The Hybrid Approach and Algorithms
- 4.1 Neighborhood Hybrid Multisampling (NHMS)
- 4.2 Trièst/ThinkD Hybrid Sampling (THS)
- 5 Experimental Evaluation
- 5.1 Experimental Settings
- 5.2 Accuracy
- 5.3 Running Time
- 5.4 Scalability
- 6 Conclusion and Future Work
- References
- An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models
- 1 Introduction
- 2 Related Work
- 3 Research Background
- 3.1 Experimental Dataset
- 3.2 Software Metrics
- 3.3 Data Sampling Techniques to Handle Imbalanced Data
- 3.4 Feature Selection Techniques
- 3.5 Deep Learning Model for Classification
- 4 Research Framework
- 5 Experiment Results
- 6 Comparison
- 6.1 RQ1: Discuss the Ability of Selected Features over the Original Features Towards Detecting Code Smell
- 6.2 RQ2: Discuss the Ability of Data Sampling Techniques to Detect Code Smell
- 6.3 RQ3: Discuss the Ability of Different Deep Learning Models to Detect Code Smell
- 7 Conclusion
- References
- A Big Data Science Solution for Analytics on Moving Objects
- 1 Introduction
- 2 Related Works
- 3 Our Data Science Solution
- 3.1 Plastic Data and Visual Analytics
- 3.2 Estimation of Pollution Exposure to Moving Objects with Convex Hulls
- 4 Evaluation
- 5 Conclusions
- References
- Mining Method Based on Semantic Trajectory Frequent Pattern
- 1 Introduction
- 2 Proposed Work
- 2.1 Framework
- 2.2 Related Definitions
- 2.3 Trajectory Segmentation
- 2.4 Data Filtering and Geocoding
- 2.5 Mining Semantic Trajectory Frequent Patterns
- 2.6 Framework Summarize
- 3 Experiments and Results
- 3.1 Database
- 3.2 Experimental Results
- 3.3 Our Method vs. FP-Growth, Apriori
- 4 Future Work
- References
- Triangle Enumeration for Billion-Scale Graphs in RDBMS
- 1 Introduction
- 2 Triangle Enumeration in RDBMS
- 2.1 Compact Forward
- 2.2 Triangle Type Partitioning
- 2.3 Prepartitioned Triangle Enumeration - Colour Direction
- 2.4 Source Node Partitioning (SNP)
- 3 Experimental Results
- 3.1 Setup Configuration
- 3.2 Datasets
- 3.3 Results
- 3.4 Experiments on Billion-Scale Networks
- 4 Conclusion and Future Work
- References
- An IoT Application Business-Model on Top of Cloud and Fog Nodes
- 1 Introduction
- 2 Background
- 3 Business Model for IoT Applications
- 3.1 Overview
- 3.2 Types of Flows
- 3.3 Types of Placements
- 3.4 System Implementation
- 4 Conclusion
- References
- Network Architecture for Agent Communication in Cyber Physical System
- 1 Introduction
- 2 Characterizing Physical Entity by Profile and Context
- 3 Related Works
- 4 Premise: Two-Stage Filtering
- 5 Networking Architecture for Two-Stage Filtering by Agents
- 5.1 Models of Agent Communication for Sharing Profile and Context
- 5.2 Evaluation of Event Transfer Delay for 4 Models
- 5.3 Evaluation of Delay for Profiling in Models (b), (c), (d)
- 6 Network Design for Agent Communication
- 6.1 How to Carry Mixture of Static Event Traffic and Dynamic Profile Traffic?
- 6.2 How to Carry Event to Human-Type Device or to Machine-Type Device?
- 7 Processing Entity for Software Agent
- 8 Conclusion
- Appendix: Deviation of Queuing Delay on H2/M/1 Model
- References
- Fi-SWoT: Secure Federated Service Oriented Architecture for the Semantic Internet of Things
- 1 Introduction
- 2 Fi-SWoT Federation
- 3 Fi-SWoT Architecture
- 3.1 Back-End Services
- 3.2 Front-End Services
- 4 Authorized Access and Single Sign on
- 5 Communication Security
- 6 Evaluation
- 7 Conclusions and Future Work
- References
- A Systematic Approach for IoT Cyber-Attacks Detection in Smart Cities Using Machine Learning Techniques
- 1 Introduction
- 2 Related Works
- 3 Background
- 3.1 Smart City Overview
- 3.2 Smart City Based on Fog Architecture
- 3.3 Intrusion Detection Systems
- 4 Problem Statement
- 4.1 Adversary Model
- 4.2 Research Challenges and Assumptions
- 5 The Detection Approach
- 6 Evaluation and Experimental Results
- 7 Discussion and Perspectives
- 8 Conclusion
- References
- Integration of Localization and Wireless Power Transfer Using Microwave
- 1 Introduction
- 2 Proposed System
- 3 Distributed Cooperative Microwave Power Transfer
- 3.1 Calculation of RSSI and Effect of Phase Control
- 3.2 Phase Optimization Algorithm Based on RSSI Feedback
- 4 Locating the IoT Device Using the Optimized Phase
- 4.1 Formulation
- 4.2 Considering Reflected Waves
- 5 Evaluation
- 5.1 Phase Optimization
- 5.2 Localization Accuracy
- 6 Conclusion
- References
- A Usage-Based Insurance Policy Bidding and Support Platform Using Internet of Vehicles Infrastructure and Blockchain Technology
- 1 Introduction
- 2 Related Works
- 2.1 Current UBI Services
- 2.2 Instant Information Transmission Mechanism Through Internet of Vehicles
- 2.3 Blockchain-Based Platform Design
- 3 Proposed Business Model and Blockchain-Based System Architecture
- 3.1 IoV System Infrastructure
- 3.2 Blockchain-Based UBI Platform
- 3.3 Bidding Mechanism
- 3.4 Advantages of Adopting Blockchain
- 4 Stakeholders and Fare Adjustment Rules
- 4.1 Stakeholders on the Blockchain-Based Platform
- 4.2 Fare Adjustment Rules
- 5 Discussion
- 6 Conclusions and Future Work
- References
- Shoulder and Trunk Posture Monitoring System Over Time for Seating Persons
- 1 Introduction
- 2 Literature Review
- 3 System Design and Architecture
- 3.1 Sensors Positions
- 3.2 Global System Architecture
- 4 System Implementations
- 4.1 Technologies Choice
- 4.2 System Results
- 5 Conclusion
- References
- Agent-Based Modelling Approach for Decision Making in an IoT Framework
- 1 Introduction
- 2 Related Work
- 3 Multi-Agent System for Smart Objects Framework
- 3.1 SADM-SmartObject Framework
- 3.2 Multi-Agent Based Decision Making Approach
- 4 Case Study
- 5 Conclusion
- References
- A New Proposal of a Smart Insole for the Monitoring of Elderly Patients
- 1 Introduction
- 2 Related Works
- 3 Plantar Pressure Measurements
- 4 The Proposed System
- 4.1 Sensors Type
- 4.2 Sensors Positions
- 5 System Implementation
- 5.1 Mobile Application
- 5.2 Web Application
- 6 Conclusion
- References
- A New Distributed and Probabilistic Approach for Traffic Control in LPWANs
- 1 Introduction
- 2 Related Work
- 3 Towards a Distributed and Probabilistic Approach
- 3.1 Assumptions
- 3.2 The DiPTC Algorithm
- 4 Simulation Model
- 4.1 Wireless Environment
- 4.2 Energy Consumption
- 5 Performance Evaluation
- 5.1 Scenarios and Network Parameters
- 5.2 Performance Evaluation in the Basic scenario
- 5.3 Impact of the Traffic Intensity
- 5.4 Overall Performance Evaluation
- 5.5 Insights
- 6 Conclusion
- References
- A Fog Computing Simulation Approach Adopting the Implementation Science and IoT Wearable Devices to Support Predictions in Healthcare Environments
- 1 Introduction
- 2 Related Works
- 3 Materials and Methods
- 3.1 Simulation Environments
- 4 Proposed Approach
- 4.1 Test Scenarios
- 5 Experimental Environment and Results
- 6 Conclusions and Future Works
- References
- Benefits of Using WebRTC Technology for Building of Flying IoT Systems
- 1 Introduction
- 1.1 WebRTC Technology
- 1.2 WebRTC and Internet of Things
- 1.3 Motivation, Main Contribution and Organization of This Paper
- 2 Related Work
- 3 Flying IoT System and Experiments
- 4 Results
- 5 Conclusions
- References
- A Neural Network Model for Fuel Consumption Estimation
- 1 Introduction
- 2 Related Work
- 3 Prediction Model
- 4 Data Description
- 5 Result and Discussion
- 6 Conclusion and Future Works
- References
- TeleML: Deploying Trained Machine Learning Models in Cross-Platform Applications
- 1 Introduction
- 2 Related Work
- 3 Methodology
- 3.1 ML Model
- 3.2 Architecture of TeleML
- 4 Results
- 4.1 ML Model
- 4.2 TeleML Application
- 5 Discussions
- 5.1 ML Model
- 5.2 TeleML
- 6 Conclusions
- References
- PPCSA: Partial Participation-Based Compressed and Secure Aggregation in Federated Learning
- 1 Introduction
- 2 Preliminaries
- 2.1 Federated Learning
- 2.2 Local Differential Privacy
- 3 Proposal of PPCSA Algorithm
- 3.1 Partial Participation of Devices
- 3.2 Compression of Local Gradient
- 3.3 Adding Noise to Local Gradient
- 3.4 Gradient Aggregation
- 4 Evaluations
- 4.1 Experimental Setup
- 4.2 Results
- 5 Analysis and Discussion
- 5.1 Communication Cost
- 5.2 Privacy Protection
- 6 Conclusion
- References
- Granulation of Technological Diagnosis in the Algebra of the n-Pythagorean Fuzzy Sets
- 1 Introduction
- 2 Determination of the Symptom-Fault Diagnostic Matrix
- 3 n-Pythagorean Fuzzy Set and Yager Aggregation Operators
- 4 Technical Diagnosis Granule System
- 5 Conclusion
- References
- Automatic Kidney Volume Estimation System Using Transfer Learning Techniques
- 1 Introduction
- 2 Methods
- 2.1 Transfer Learning
- 2.2 Image Processing
- 2.3 Data Format
- 2.4 Unet
- 3 Experiments and Results
- 3.1 Source Data Set: LiTS17 and NTU
- 3.2 Target Data Set: KiTS19
- 3.3 Evaluation Metrics
- 3.4 Implementation Parameters
- 3.5 Results
- 4 Discussion
- 5 Conclusions
- References
- Detecting Interaction Activities While Walking Using Smartphone Sensors
- 1 Introduction
- 2 Related Work
- 3 Approach
- 3.1 Dataset
- 3.2 Data Preprocessing
- 3.3 Three-Stage Classification Model
- 3.4 Classifiers and Validation
- 4 Evaluation and Discussion
- 4.1 Combined Classification
- 4.2 Pipeline Design and Classifier Choice
- 4.3 Window Size and Overlap
- 4.4 Feature Engineering
- 5 Conclusion and Future Work
- References
- Training Effective Neural Networks on Structured Data with Federated Learning
- 1 Introduction
- 2 Related Work
- 3 Study Design
- 3.1 Datasets
- 3.2 Trained Models
- 3.3 Data Distribution in Federation
- 4 Effectiveness Evaluation
- 4.1 Equal Distribution of the Data
- 4.2 Non-iid Data
- 4.3 Main Findings and Recommendations
- 5 Conclusion
- References
- A Multi-view Active Learning Approach for the Hierarchical Multi-label Classification of Research Papers
- 1 Introduction
- 2 Literature Review
- 3 Proposed Approach
- 3.1 Notations
- 3.2 Hierarchical Multi-label Classifier
- 3.3 Uncertainty
- 3.4 Representativeness
- 3.5 Proposed Algorithm
- 4 Evaluation Study
- 4.1 Dataset
- 4.2 Experiments and Results
- 5 Conclusion
- References
- Blue-White Veil Classification of Dermoscopy Images Using Convolutional Neural Networks and Invariant Dataset Augmentation
- 1 Introduction
- 1.1 Dermatological Screening Methods of Skin Lesions
- 1.2 Dermatological Datasets
- 2 The Invariant Dataset Augmentation
- 3 Pretrained CNN and Their Accuracy
- 4 General Method Description
- 5 Results of the Classification Using Modified Pretrained CNNs
- 5.1 Hardware Description
- 5.2 Results Using the Same Datasets
- 6 Conclusions
- References
- Smilax: Statistical Machine Learning Autoscaler Agent for Apache FLINK
- 1 Introduction
- 2 Related Work
- 3 Smilax Ecosystem
- 4 Smilax
- 4.1 Exploration Phase
- 4.2 Optimal Phase
- 5 Experiments
- 6 Conclusions
- References
- Application Relocation Method for Distributed Cloud Environment Considering E2E Delay and Cost Variation
- 1 Introduction
- 2 Related Work
- 2.1 Initial App Allocation
- 2.2 App Relocation
- 3 System Architecture
- 4 Methodology
- 4.1 Motivation
- 4.2 Proposed App Relocation Method
- 5 Evaluation
- 5.1 Conditions of the Numerical Simulation
- 5.2 Result
- 6 Conclusion
- References
- A Feasibility Study of Log-Based Monitoring for Multi-cloud Storage Systems
- 1 Introduction
- 2 Related Works
- 3 The Challenges of Log-Based Multi-Cloud Storage Monitoring
- 4 The State of Public Cloud Object Storage Services
- 4.1 Amazon Web Services
- 4.2 Google Cloud Platform
- 4.3 Microsoft Azure
- 5 Data Gathering
- 6 Evaluation
- 6.1 Cloud Storage Log Comparison and Correlation
- 6.2 CSB System Log and Cloud Storage Log Correlation
- 6.3 Summary
- 7 Conclusion and Future Works
- References
- Detecting Performance Degradation in Cloud Systems Using LSTM Autoencoders
- 1 Introduction
- 2 Related Works
- 3 Methodology
- 3.1 Long Short-Term Memory Networks
- 3.2 LSTM Autoencoder for Anomaly Detection
- 4 Detecting Performance Degradation in Cloud Systems
- 4.1 Experimental Setup and Benchmark Analysis
- 4.2 Performance Anomaly Detection of MongoDB System
- 4.3 Performance Anomaly Detection of HBase System
- 5 Conclusion
- References
- An Ontology for Composite Cloud Services Description
- 1 Introduction
- 2 Cloud Architecture, Services and Relations
- 3 Related Work
- 4 Composite Cloud Service Meta-model
- 5 Linked USDL Extension
- 5.1 Linked USDL Overview
- 5.2 Linked Composite Cloud Service Description Ontology
- 6 The Proposed Ontology LinkedCSOnto
- 6.1 Concrete Example to Instantiate LinkedCSOnto
- 6.2 Querying the Ontology
- 6.3 SWRL Rules for Inferring Knowledge
- 7 Conclusion
- References
- GPU Accelerated Bayesian Inference for Quasi-Identifier Discovery in High-Dimensional Data
- 1 Introduction
- 2 State-of-the-Art
- 3 Bayesian Inferences as QID Indicators
- 4 Projection on Data Streams
- 5 GPU-Acceleration
- 6 Evaluation
- 6.1 Comparing Runtime Complexity
- 6.2 Accelerated QID Discovery Success Cases
- 7 Conclusions and Future Work
- References
- Improvement of the Matrix for Simple Matrix Encryption Scheme
- 1 Introduction
- 2 Multivariable Public Key Cryptosystem and Simple Matrix Scheme
- 2.1 Bipolar System
- 2.2 Hybrid System
- 2.3 Simple Matrix Scheme
- 3 Improved Version of Simple Matrix
- 3.1 Structural Thought
- 3.2 Encryption and Decryption Process
- 4 Security Analysis
- 4.1 Formal Safety Certification
- 4.2 Algebraic Attacks
- 5 Efficiency Analysis
- 5.1 Analysis of the Ratio of Ciphertext and Plaintext
- 5.2 Attack Efficiency
- 6 Conclusion
- References
- Lifestyle Authentication Using a Correlation Between Activity and GPS/Wi-Fi Data
- 1 Introduction
- 2 Related Work
- 2.1 Behavioral Authentication
- 2.2 MITHRA Project
- 3 Our Proposed Method
- 3.1 Location Data
- 3.2 Activity Data
- 3.3 Authentication
- 4 Experiment
- 4.1 Experimental Setup
- 4.2 Data Selection and Parameter Setting
- 4.3 Results
- 5 Discussion
- 5.1 Effectiveness of the Proposed Method
- 5.2 Increasing Accuracy in Non-ideal Cases
- 5.3 Mitigation of Attacks
- 6 Conclusions and Future Work
- References
- Identify Encrypted Packets to Detect Stepping-Stone Intrusion
- 1 Introduction
- 2 Preliminaries
- 2.1 Relayed Sessions
- 2.2 Packet Header and its Fields
- 2.3 Packet Encryption
- 2.4 The Length of Encrypted Packets
- 3 Reading Encrypted Packets
- 4 Detecting Stepping-Stone Intrusion
- 5 Experimental Results and Analysis
- 6 Conclusion
- References
- Visual Paths in Creation of User-Oriented Security Protocols
- 1 Introduction
- 2 Cognitive Systems in Cryptography
- 3 Visual Paths in Security Protocols
- 4 Conclusions
- References
- SeBeST: Security Behavior Stage Model and Its Application to OS Update
- 1 Introduction
- 2 Related Work
- 2.1 Transtheoretical Model (TTM)
- 2.2 Framing Effect
- 2.3 Security Awareness
- 3 Proposed Method
- 3.1 Security Behavior Stage Model (SeBeST)
- 3.2 Messages of OS Update Dialog
- 4 Evaluation
- 4.1 Survey1: Methodology
- 4.2 Survey1: Results
- 4.3 Survey2: Methodology
- 4.4 Survey2: Results
- 5 Discussion
- 6 Conclusion and Future Research
- Appendix: User Survey Questionnaire
- References
- Investigation of Power Consumption Attack on Android Devices
- 1 Introduction
- 2 Related Research
- 3 Related Knowledge
- 3.1 Power-Consuming Hardware and Features
- 3.2 Power Saving Mode for Android Devices
- 3.3 WakeLock
- 4 Proposed Method
- 5 Power Consumption Application
- 5.1 Implementation of WakeLock
- 5.2 Implementation of Power Consumption Function
- 6 Experiment
- 6.1 Experimental Environment
- 6.2 Experimental Procedure
- 7 Experimental Results
- 8 Discussion
- 8.1 Battery Life When All Functions Are in Operation
- 8.2 Power Consumption by CPU
- 8.3 Power Consumption by Display
- 8.4 Possibility of Attack
- 8.5 Future Work
- 9 Research Ethics
- 10 Conclusion
- References
- The Novel System of Attacks Detection in 5G
- 1 Introduction
- 2 Literature Review
- 3 Remarks on the 5G Security Features
- 4 Security Problems of the 5G Standard and Machine Learning
- 5 Description of the Approach
- 6 Methodology
- 7 Experiments
- 8 Conclusion and Future Plans
- References
- Risk Analysis for Worthless Crypto Asset Networks
- 1 Introduction
- 2 Background
- 2.1 Blockchain Network
- 2.2 Altcoin
- 3 Related Work
- 3.1 Poisoning of Bitcoin Blockchain
- 3.2 Diversion of Bitcoin Network to C&C Server
- 3.3 Risk of Diversion of the Above Research to Blockchain Other Than Bitcoin
- 3.4 Position of This Research
- 4 Node Status Analysis of Worthless Altcoin Network
- 4.1 Analysis Content
- 4.2 Results
- 5 Correlation Between USD Market Capital and Network Pollution Degree
- 5.1 Purpose of This Analysis
- 5.2 Blockchain Network Activity Level
- 5.3 Analysis Content
- 5.4 Results
- 6 Consideration of Network Non-disruption
- 6.1 Consideration of Factors that Prevent the Networks from Stopping
- 6.2 Benefits for Attackers Who Keep an Anonymous Altcoin Networks up and Running
- 6.3 Correlation Between the Asset Value of Crypto Assets and Risk
- 7 Conclusion
- References
- Human Centered Protocols in Transformative Computing
- 1 Introduction
- 2 Distributed Service Management in Human-Centered Concept
- 3 Transformative Computing for Proposed Protocols
- 4 Conclusions
- References
- Off-Chain Execution of IoT Smart Contracts
- 1 Introduction
- 1.1 Contribution of the Paper
- 2 Motivation Scenario
- 3 Div System Model
- 4 Performance Evaluation
- 5 Conclusion and Future Work
- References
- Fast and Accurate Function Evaluation with LUT over Integer-Based Fully Homomorphic Encryption
- 1 Introduction
- 2 Preliminary
- 2.1 Notations
- 2.2 SIMD Operation over FHE
- 2.3 Private Information Retrieval over FHE
- 3 Approximate Search
- 3.1 Overview of System
- 3.2 Construction of LUT
- 3.3 Preparation of Intermediate Result
- 3.4 Generation of PIR Query
- 3.5 Extraction of Matched Output Value
- 4 Table Separation
- 4.1 Separation Algorithm
- 4.2 Size Reduction of Separated Input LUTs
- 5 Security Analysis
- 6 Experimental Evaluation
- 7 Conclusion
- References
- Reidentification Risk from Pseudonymized Customer Payment History
- 1 Introduction
- 2 Preliminary
- 2.1 Payment History Data
- 2.2 Reidentification Probability
- 3 Anonymization of Payment History Records
- 3.1 Idea
- 3.2 Profile Probability
- 4 Evaulation
- 4.1 Data Model
- 4.2 Evaluation Using Competition Data
- 4.3 Results
- 5 Conclusions
- A Pwscup competition
- References
- Trust-Based Detection Strategy Against Replication Attacks in IoT
- 1 Introduction
- 2 Replication Attack
- 2.1 Different Attack Detection in RPL
- 3 Trust-Based Detection Against Replication Attacks
- 3.1 Replica Test
- 3.2 Trust Factors in Trust-Based Strategy
- 3.3 Trust Score Assignment Algorithm
- 4 Evaluation
- 4.1 Baseline Detection Strategies
- 4.2 Evaluation Results
- 4.3 Discussions
- 5 Conclusion
- References
- Reinforcement Learning Based Smart Data Agent for Location Privacy
- 1 Introduction
- 2 Location Privacy and Related Works
- 3 Proposed Smart Data Agent RL Formulation
- 4 Simulation Results
- 5 Conclusions
- References
- Comparison of Personal Security Protocols
- 1 Introduction
- 2 Personal Security Protocols
- 2.1 Biometrics
- 2.2 Neuroscience Patterns
- 2.3 Personal Characteristics
- 3 Cognitive Cryptography
- 4 Comparison of Personal Features Used in Security Protocols
- 5 Conclusions
- References
- Anonymous Broadcast Authentication for Securely Remote-Controlling IoT Devices
- 1 Introduction
- 2 System Model
- 3 Anonymous Broadcast Authentication
- 3.1 Syntax
- 3.2 Unforgeability
- 3.3 Anonymity
- 4 Constructions
- 4.1 ABA from MACs and PRFs
- 5 Conclusion
- References
- An Efficient and Privacy-Preserving Billing Protocol for Smart Metering
- 1 Introduction
- 2 Related Work
- 3 System Model, System Requirements and Design Goals
- 3.1 System Model
- 3.2 System Requirements
- 3.3 Design Goals
- 4 Preliminaries
- 5 Privacy-Preserving Billing Protocol
- 5.1 Assumptions
- 5.2 Proposed Protocol
- 6 Performance Evaluation
- 7 Conclusion
- References
- Intra Data Center MultiPath Optimization with Emulated Software Defined Networks
- 1 Introduction
- 2 Related Works
- 3 Methodology
- 3.1 Modeling of the Data Center Traffic
- 3.2 MPTCP Kernel Setup
- 4 Evaluation of the MPTCP with Computational Modeling
- 5 Conclusion
- References
- Deploying Scalable and Stable XDP-Based Network Slices Through NASOR Framework for Low-Latency Applications
- 1 Introduction
- 2 Related Work
- 3 Our Proposal
- 3.1 eXpress Data Path (XDP)
- 3.2 eXpress Control Plane (XCP)
- 4 Evaluation Method
- 5 Experimental Testbed
- 6 Results and Discussion
- 7 Concluding Remarks
- References
- A Monitoring Aware Strategy for 5G Core Slice Embedding
- 1 Introduction
- 2 Related Work
- 3 Traditional Capturing and Monitoring Architecture in Telecommunication Networks
- 3.1 Traditional Architecture
- 3.2 Network Packet Broker
- 3.3 Probes
- 3.4 Traffic Copy
- 4 Capturing and Monitoring Architecture for 5G Core Slice
- 4.1 Agent Based Architecture
- 4.2 Agent Free Architecture
- 4.3 vProbe Chaining (without vPB Scheme)
- 5 vProbe Aware Algorithm for 5GC Slice Embedding
- 5.1 NFV-I Model
- 5.2 Monitoring and VNF-FG Transformation
- 5.3 Mathematical System Model
- 5.4 5GC Slice Embedding and Monitoring Problem
- 5.5 Proposed Algorithms
- 6 Performance Evaluation
- 6.1 Simulation Environment
- 6.2 Performance Metrics
- 6.3 Evaluation Results
- 7 Conclusion
- References
- Performance Analysis of POX and OpenDayLight Controllers Based on QoS Parameters
- 1 Introduction
- 2 Related Works
- 3 Methodology
- 4 Simulation Results and Discussion
- 4.1 Round-Trip Time
- 4.2 Throughput
- 4.3 Jitter and Packet Loss
- 5 Conclusion
- References
- DoSSec: A Reputation-Based DoS Mitigation Mechanism on SDN
- 1 Introduction
- 2 Related Works
- 3 Proposed Solution
- 3.1 Connection Monitoring
- 3.2 Queue Processing
- 4 Performance Evaluation
- 4.1 Experimental Results
- 5 Conclusion
- References
- A Comparative Study Between Containerization and Full-Virtualization of Virtualized Everything Functions in Edge Computing
- 1 Introduction
- 2 Related Work
- 3 Edge NFV Architecture
- 4 Experimental Evaluation
- 4.1 Test Environment
- 4.2 Test Monitoring Enviroment
- 4.3 Experiment Description
- 5 Analysis and Discussion
- 6 Conclusion
- References
- A Proposal for Application-to-Application Network Addressing in Clean-Slate Architectures
- 1 Introduction
- 2 Background
- 2.1 Domain Name Service
- 2.2 ETArch Architecture
- 2.3 Addressing
- 3 Related Work
- 4 Proposal
- 5 Experimental Evaluation
- 5.1 Test Environment
- 5.2 Experiment Description
- 6 Results and Analysis
- 7 Conclusion
- References
- Author Index
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