Ubiquitous Communications and Network Computing: 4th EAI International Conference, UBICNET 2021, Virtual Event, March 2021, Proceedings

Description

This book constitutes the refereed proceedings of the 4th International Conference on Ubiquitous Communications and Network Computing, UBICNET 2021, held in March 2021. Due to COVID-19 pandemic the conference was held virtually. The 17 full papers were selected from 59 submissions and are basically arranged in different sessions on 5G networks, millimeter wave communication systems and emerging applications; quantum communication, IoT and emerging applications; data analytics and cloud computing; artificial neural network, machine learning and emerging applications. Preface Organization Contents 5G Networks, Millimeter Wave Communication Systems and Emerging Applications Analysis of Generic Routing Encapsulation (GRE) over IP Security (IPSec) VPN Tunneling in IPv6 Network 1 Introduction 2 Related Works 3 Methodology 4 Implementation 4.1 Graphical Networking Simulator (GNS3) 4.2 Design and Analysis in GNS3 5 Results and Analysis 5.1 Response Time 5.2 Throughput 5.3 Packet Analysing 6 Conclusions References Mobility Management Based Mode Selection for the Next Generation Network 1 Introduction 2 Mobility Management in Cellular Network 2.1 Relevant and Recent Work 2.2 Mobility Management Model and Architecture 3 Proposed Mode Selection Method 4 Mode Selection Algorithm 4.1 Model Formulation with Mobility Management 4.2 Delay 4.3 Energy 5 Simulation Setup 6 Result 7 Conclusion References Specification of a Framework, Fully Distributed, for the Management of All Types of Data and the Services Close to Users 1 Introduction 2 Releated Work 2.1 Multi-scale Systems 2.2 Peer-to-Peer (P2P) Networks 3 GRAPP&S 3.1 Model and Definitions 3.2 Elements of the GRAPP&S Architecture 3.3 Community Management 3.4 Node Management 4 Operations in GRAPP&S 4.1 Storage and Indexing 4.2 Basic Routing 4.3 Data Search 4.4 Data Transfer in GRAPP&S 5 Future Work 5.1 Development of a Prototype on Pastry 5.2 Resource Redistribution with GAIA 5.3 Future Application of Our Architecture 6 Conclusions References A Leading Edge Detection Algorithm for UWB Based Indoor Positioning Systems 1 Introduction 2 System Model 2.1 Proposed ILED Algorithm 2.2 Trilateration 2.3 System Simulation 3 Results 3.1 Ranging Accuracy 3.2 Positioning Accuracy 3.3 Influence of Number of Anchor Nodes on the Positioning Accuracy 4 Conclusion References Designing Multiband Millimeter Wave Antenna for 5G and Beyond 1 Introduction 2 Design of Antenna 2.1 Theoretical Calculation of the Basic Patch 2.2 Dual Band Design 2.3 Multiband Design 2.4 Antenna Array Design 3 Results and Discussion 4 Conclusion References Analog Beamforming mm-Wave Two User Non-Orthogonal Multiple Access 1 Introduction 2 mm-wave Channel Model 3 System Model and Problem Formulation 3.1 System Model 3.2 Problem Formulation 4 Simulation Results 5 Conclusion References Quantum Communication, IoT and Emerging Applications A Novel Multi-User Quantum Communication System Using CDMA and Quantum Fourier Transform 1 Introduction 1.1 Qubit and Quantum Communication 1.2 Multi-User Quantum Communication 2 Proposed Multi-User Quantum Communication System Using QFT 2.1 Transmitter Side Modulation 2.2 Receiver Side Demodulation 3 Mathematical Example for Single User System 3.1 CDMA Encoding 3.2 QFT 3.3 IQFT 3.4 CDMA Decoding 3.5 Measurement and User Bit Recovery 4 Simulation of 2 User System 5 Advantages of the Proposed System 6 Results and Discussion 7 Conclusion and Future Works References Qubit Share Multiple Access Scheme (QSMA) 1 Introduction 1.1 Qubits and Measurement 1.2 Quantum Gates and Circuits 1.3 Quantum Fourier Transform (QFT) 1.4 Inverse Quantum Fourier Transform (IQFT) 1.5 Challenges in Multi-user Quantum Communication and Quantum Internet 1.6 The Paper is Arranged as Follows 2 Multi-user Quantum Communication Using QSMA 2.1 Qubit Share Multiple Access Scheme (QSMA) 2.2 Super Dense Coding 3 Proposed Qubit Share Multiple Access Scheme for 2-Users 3.1 Transmitter Side Modulation 3.2 Receiver Side Demodulation 3.3 Superdense Decoding 3.4 Measurement and User Bit Recovery 4 Mathematical Example for 2-User System 4.1 Superdense Encoding 4.2 QFT 4.3 IQFT 4.4 Superdense Decoding 4.5 Measurement and User Bit Recovery 5 Simulation of 2 User System 6 Advantages of the Proposed System 7 Results and Discussion 8 Conclusion and Future Works References Design of CoAP Based Model for Monitoring and Controlling Physical Parameters 1 Introduction 2 Related Work 3 CoAP Protocol 4 Methodology 4.1 High-Level Design 4.2 Low-Level Design 4.3 Configuring TCP/IP Lite Stack 4.4 Configuring CoAP Library 4.5 Development of the Firmware 5 Results and Discussion 5.1 PING 5.2 DISCOVER 5.3 Monitoring the IR Sensor 5.4 Monitoring and Controlling the DC Motor 6 Conclusion and Future Work References Hardware Trojan Detection Using XGBoost Algorithm for IoT with Data Augmentation Using CTGAN and SMOTE 1 Introduction 2 Related Works 3 Hardware Trojans and Its Types 3.1 Threat Model 3.2 Trojans in IoT 3.3 The Types of Trojans Considered for Testing 4 Methodology 4.1 Feature Extraction 4.2 Handling Data Imbalance Problem 5 Results 6 Conclusion References Data Analytics and Cloud Computing Predictive Modeling of the Spread of COVID-19: The Case of India 1 Introduction 2 Related Work 2.1 Data Analysis 2.2 Mathematical Modeling 2.3 Predictive Modeling 3 Exploratory Data Analysis 3.1 Data Description 3.2 Increase in Cases 3.3 Growth Rates 3.4 Impact of Lockdown 4 Predictive Modelling 4.1 Time Series Analysis 4.2 Deep Learning 4.3 Evaluation of Predictive Models 4.4 Model Validation 5 Conclusion References ASIF: An Internal Representation Suitable for Program Transformation and Parallel Conversion 1 Introduction 2 Related Work 3 ASIF 3.1 Asterix Transformation and Parallelization Pipeline 3.2 Rationale for ASIF 3.3 ASIF Instruction Formats 3.4 ASIF Annotation Formats 4 ASIF as an Enabler of Transformation and Parallelization 4.1 Code Motion 4.2 Data Dependence 4.3 Loop Dependence 4.4 If Conversion 4.5 Vectorization 5 Analysis 6 Results 7 Conclusion References Performance Comparison of VM Allocation and Selection Policies in an Integrated Fog-Cloud Environment 1 Introduction 2 Related Works 3 VM Placement 4 System Model and Problem Formulation 5 Performance Evaluation 5.1 Experimental Setup 5.2 Real Time Workloads - Google Trace and PlanetLab 5.3 Performance Comparison 6 Conclusion References Artificial Neural Network, Machine Learning and Emerging Applications Fraud Detection in Credit Card Transaction Using ANN and SVM 1 Introduction 2 Related Work 3 Methodology 3.1 Dataset Used 3.2 Data Splitting 3.3 Data Scaling and Balancing 3.4 Feature Selection and Model Building 3.5 Model Validation 4 Evaluation Metrics 5 Results and Discussions 6 Conclusion References Detection of Leukemia Using K-Means Clustering and Machine Learning 1 Introduction 2 Few Recent and Relevant Work 3 Typical Image Processing and Input Database 3.1 Typical Image Processing 3.2 Input Database Images (IDB) 4 Proposed Algorithm 5 Classification 6 Results and Discussion 7 Conclusion References An Analysis and Implementation of a Deep Learning Model for Image Steganography 1 Introduction 2 Methodology 2.1 Convolutional Neural Networks 2.2 Generalized Architecture for Steganography 3 Analysis and Results 3.1 Evaluation Metrics 3.2 Performance Analysis of the Steganographic Model 4 Conclusion and Future Scope References Abstractive Text Summarization on Templatized Data 1 Introduction 2 Literature Review 2.1 Concept Review 2.2 Review of Previous Research Findings 3 System Design and Implementation 4 Results 5 Conclusion References Author Index