Proceedings of the 7th International Conference on Advance Computing and Intelligent Engineering

Name: Proceedings of the 7th International Conference on Advance Computing and Intelligent Engineering | ICACIE 2022
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ICACIE 2022

Bibudhendu Pati Chhabi Rani Panigrahi Prasant Mohapatra Kuan-Ching Li(Editor)

Springer (Publisher)

1st Edition

Published on 3. July 2024

XXVI, 701 pages

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978-981-99-5015-7 (ISBN)

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Persons

Dr. Bibudhendu Pati is the Associate Professor in the Department of Computer Science at Rama Devi Women's University (Only Govt. Women's University in the state of Odisha, India). He received his Ph.D. degree from Indian Institute of Technology Kharagpur, India. He has around 24 years of experience in teaching and research. His current research interests include Wireless Sensor Networks, Cloud Computing, Big Data, Internet of Things, and Advanced Network Technologies. He has got several papers published in reputed journals, conference proceedings, and books of international repute. He has been serving as the Editor of different conference proceedings. He also served as Guest Editor of reputed journals. He was invited to chair several international conferences. He has been involved in many professional and editorial activities. He is the Life Member of Indian Society for Technical Education, Computer Society of India, and Senior Member of IEEE.

Dr. Chhabi Rani Panigrahi is an Assistant Professor in the Department of Computer Science at the Rama Devi Women's University, Bhubaneswar, India. Prior to this she was the regular faculty member at Central University of Rajasthan. She received her PhD degree in Computer Science & Engineering from Indian Institute of Technology Kharagpur, India. Her current research interests include software testing, mobile cloud computing, and machine learning. She has more than 21 years of teaching and research experience. She has published several scholarly articles in journals and conferences of international repute. She was invited to organize and chair many international conferences. Dr. Panigrahi is the author of a text book and a few edited books. She is a life member of the Indian Society of Technical Education (ISTE) and a member of IEEE and the Computer Society of India (CSI).

Prof. Prasant Mohapatra is serving as the Vice Chancellor for Research at University of California, Davis. He is also a Professor in the Department of Computer Science and served as the Dean and Vice-Provost of Graduate Studies during 2016-18. He was the Department Chair of Computer Science during 2007-13. In the past, Dr. Mohapatra has also held Visiting Scientist positions at Intel Corporation, Panasonic Technologies, Institute of Infocomm Research (I2R), Singapore, and National ICT Australia (NICTA). Dr. Mohapatra received his doctoral degree from Penn State University in 1993, and received an Outstanding Engineering Alumni Award in 2008. He is also the recipient of Distinguished Alumnus Award from the National Institute of Technology, Rourkela, India. Dr. Mohapatra received an Outstanding Research Faculty Award from the College of Engineering at the University of California, Davis. He received the HP Labs Innovation awards in 2011, 2012, and 2013. He is a Fellow of the IEEE and a Fellow of AAAS. Dr. Mohapatra's research interests are in the areas of wireless networks, mobile communications, cyber security, and Internet protocols. He has published more than 350 papers in reputed conferences and journals on these topics. Dr. Mohapatra's research has been funded through grants from the National Science Foundation, US Department of Defense, US Army Research Labs, Intel Corporation, Siemens, Panasonic Technologies, Hewlett Packard, Raytheon, and EMC Corporation.

Prof. Kuan-Ching Li is currently a Professor in the Department of Computer Science and Information Engineering at the Providence University, Taiwan. He was the Vice-Dean for Office of International and Cross-Strait Affairs (OIA) in this same university since 2014. Prof. Li is recipient of awards from Nvidia, Ministry of Education (MOE)/Taiwan and Ministry of Science and Technology (MOST)/Taiwan, as also guest professorship from different universities in China. He got his PhD from University of Sao Paulo, Sao Paulo, Brazil in 2001. His areas of research are networked and GPU computing, parallel software design, and performance evaluation and benchmarking. He has edited 2 books: Cloud Computing and Digital Media and Big Data published by CRC Press. He is a Fellow of the IET, senior member of the IEEE and a member of TACC.

Content

Intro
Preface
About This Book
Contents
Editors and Contributors
Advanced Machine Learning Techniques
Comparison of Malware Detection Techniques Using Machine Learning Algorithms
1 Introduction
2 Basic Concepts
2.1 Supervised Learning
2.2 Unsupervised Learning
2.3 Semi-supervised Learning
2.4 Reinforcement Learning
2.5 Transfer Learning
3 Methodologies
3.1 Receiver Operating Characteristic Curve
4 Results and Discussion
4.1 Detection Time
5 Conclusion
References
Deep Neural-Based Machine Translation Using RNN for Indian Languages
1 Introduction
1.1 Deep Neural Networks (DNNs)
2 Literature Survey
2.1 Embedding Layer
3 Methodology
3.1 Hyperparameters Optimization
3.2 Batch_size
3.3 Iterations/Steps
3.4 Epochs
3.5 Dropout
3.6 Num_Units
3.7 Learning Rate
3.8 H-params Summary
3.9 GPU Optimization
3.10 Overall Training Process
3.11 Vector Representation of Words
3.12 Bi-RNN Encoder
4 Proposed Contents and Test Cases
5 Graphs
5.1 Computation Graph
5.2 Plots for Hindi-Gujarati Model
5.3 Plots for Hindi-Punjabi Model
6 Conclusion
7 Future Work
References
Bengali Document Clustering: A Comparative Study of K-Means, K-Means++, Spectral K-Means
1 Introduction
2 Related Works
3 Clustering Algorithms
3.1 Simple upper KK-means
3.2 upper KK-means++
3.3 Spectral Clustering
4 Bengali Document Clustering
4.1 Preprocessing
4.2 Vectorization Process
5 Dataset, Evaluation and Results
5.1 Description of Dataset
5.2 Evaluation Metrics, Experiments and Results
6 Conclusion
References
An Intelligent Diagnostic System for Type 2 Diabetes Mellitus
1 Introduction
1.1 Motivation and Objective
1.2 Paper Structure
2 Related Work
3 Proposed Work
4 Results and Discussions
5 Conclusion and Future Scope
References
Fuzzy Logic-Based Crop Diversification to Increase Crop Yield
1 Introduction
2 Related Works
2.1 Crop Diversification Using CNN
2.2 Crop Diversification Using Digital Image Processing
2.3 Crop Diversification Using Fuzzy Logic
3 Proposed Model
3.1 Data Collection
3.2 Choosing Input Parameters
4 Conclusion and Future Works
References
Application of Machine Learning in Software Testing of Healthcare Domain
1 Introduction
1.1 Healthcare Challenges
1.2 Software Testing in Healthcare Domain
2 Software Testing Overview
2.1 UML-Based Software Testing
3 Machine Learning in Software Testing
4 Proposed Method
4.1 UML Activity Diagram for Health Care
4.2 Generation of the Test Cases
5 Conclusion
References
A System for Driver Drowsiness Detection Using Deep Learning
1 Introduction
2 Background Study
3 Related Work
4 Methodology
5 Results and Discussion
6 Conclusion and Future Scope
References
Detection of Arrhythmia from ECG Signal Using Bat Algorithm-Based Deep Neural Network
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Signal Pre-processing
3.2 Signal Segmentation
3.3 Feature Extraction
3.4 Feature Selection
3.5 Classification Model
4 Experiment
4.1 Experimental Setup
4.2 Experimental Result and Analysis
5 Conclusion and Future Scope
References
An Intelligent Diabetes Prediction System Augmenting Feature Selection and Balancing Techniques
1 Introduction
2 Literature Review
3 Methods and Proposed Methodology
3.1 Classification Algorithms
3.2 Feature Selection
3.3 Data Balancing
3.4 Proposed Framework
3.5 Evaluation Metrics
4 Experiment Setup, Results, and Analysis
4.1 Dataset Description and Pre-Processing
4.2 Software and Hardware Used
4.3 Results
4.4 Discussion
5 Conclusion and Future Scope
References
Intelligent Fake News Detection Model using Machine Learning Techniques
1 Introduction
2 Literature Review
3 Proposed System
3.1 Datasets
3.2 Text Conversion
3.3 Pre-processing
3.4 Feature Extraction Using TF-IDF
3.5 ML-Based Classification Models
4 Experimental Results and Discussion
5 Conclusion
References
Depiction of Nifty Midcap Index Efficiency Using ARIMA
1 Introduction
1.1 Indian Stock Market
1.2 Stock Market Efficiency
2 Need for the Study
3 Methodology
4 Results and Discussion
4.1 Stationarity of Data
4.2 Augmented Dickey-Fuller Test (ADF)
4.3 ARIMA (Autoregressive Integrated Moving Average)
5 Conclusion
References
Digital Soil Texture Classification Using Machine Learning Approaches
1 Introduction
2 Literature Review
3 Proposed Soil Texture Classification Methodology
3.1 System Model
3.2 Dataset Details
3.3 Image Preprocessing
3.4 Feature Extraction
3.5 Classification Models for Soil Image
4 Experimental Results
5 Conclusion
References
SQL Injection Attack Detection Using Machine Learning Techniques
1 Introduction and Literature Review
2 Research Materials and Methods
2.1 Structured Query Language (SQL)
2.2 SQL Injection Attack
3 The Proposed Model to Classify SQL Injection (SQLi) Attack
3.1 Dataset
3.2 Architecture of the Designed Bypass Neural Network
4 Experimental Results
5 Conclusion and Future Prospects
References
Social Network Analysis and Recommender Systems
Event Tracking and Analysis in Social Text Stream
1 Introduction
1.1 Motivation and Contribution
2 Literature Survey
3 Problem Statement and Methodology
3.1 Problem Statement
3.2 Proposed Novelty Detection Approach
3.3 Event Tracking in Social Text Streams
4 Experimental Study and Data Sets
4.1 Evaluation Mechanism and Dataset
4.2 Data Sets
4.3 Efficiency of Proposed Approach with Existing SOTA Methods
5 Performance Evaluations in Terms of Memory Profile, CPU Utilization, and Load Shedding
6 Conclusion
References
Identification of Social Bots in Online Social Networks Using Filter-Based Feature Selection Approach
1 Introduction
2 Background Details
2.1 Online Social Network
2.2 Social Bots
2.3 Machine Learning Techniques
2.4 Ensemble Methods in Machine Learning
3 Related Work
4 Methods
4.1 Datasets
4.2 Feature Selection Method
5 Experimental Result
6 Conclusion and Future Scope
References
MathBERTRes: Mathematical BERT Model for Sequence Classification of Mathematical Research Articles
1 Introduction
2 Background and Related Work
3 System Architecture
4 Proposed System-Phase 1
4.1 Data Set Details, Tokenization, and Padding
4.2 Model Training, Optimizer Creation, and Learning Rate Scheduler
4.3 Model Evaluation and Model Prediction
5 Proposed System-Phase 2
5.1 Classification
5.2 MathBERTRes Approach
6 Results and Discussion
6.1 Implementation Details for MathBERTRes Model
7 Conclusion and Future Work
References
Music Recommendation Model Based on Emotion Detection Using Pulse Rate and Stress Measurement
1 Introduction
2 Literature Review
2.1 Relationship Between Stress and Human Emotions
2.2 Relationship Between Stress and Heart Rate (HR)
2.3 Recommendation System
3 Research Gap and Author Contribution
4 Proposed Methodology
4.1 Measuring of Heart Rate
4.2 Calculating the Baevsky's Stress Index (SI)
4.3 Proposed Framework
4.4 Performance Metric
5 Conclusion
References
Exploratory Data Analysis on Shopping Mall Customers' Dataset: A Case Study of Marketing Analysis
1 Introduction
2 Data Visualization
2.1 Software Dependencies
2.2 Visualizing the Age Distribution
2.3 Visualizing the Annual Income
2.4 Visualization of Spending Score
2.5 Gender Versus Spending Score Visualizations
2.6 Gender Versus Annual Income Visualization
2.7 Gender Versus Age Visualization
3 K-Means Clustering Analysis
4 Conclusion
References
AlphaAR: An Augmented Reality-Based Intelligent Learning Platform for Pre-school Children
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Research Design
3.2 Concept
3.3 System Design
3.4 Data Analysis
4 Result and Discussion
5 Conclusion and Future Scope
References
Analysis of Differential Evolution Optimization-Based Cascade Controller for Frequency Regulation of Power System
1 Introduction
2 Basic Concepts
2.1 System Examined
2.2 PI-PD Controller
3 Proposed Methods
4 Optimization Technique
5 Results and Discussion
6 Conclusions
References
A Systematic Literature Review on Social Network Security Challenges and Solutions
1 Introduction
2 Literature Review
2.1 Review on Security Attacks
2.2 Review on Security Solutions
3 Conclusion
References
Market Analysis and Business Intelligence
SMARTEN: A Multiscale Simulation Software Dedicated to the Education and the Research for Energy-Mix Management Applied in the Built Environment
1 Introduction
2 Smarten Features
2.1 Software Framework
2.2 Software Architecture
2.3 Software Functionalities
3 Running a Simulation and 2D Visualisation
4 Illustrative Examples
5 Conclusion
6 Perspectives and Future Work
References
A Low Power DC-DC Buck Converter with Improved Light-Load Efficiency Utilizing Pulse-Skipping Mode for a 2.5 GHz Microwave Signal Source
1 Introduction
2 Related Literature
2.1 Buck Converter
3 Methodology
3.1 Output Simulation
4 Conclusion
References
E-commerce Security Issues for SMEs: A Systematic Literature Review
1 Introduction
2 Research Method
2.1 Research Question
2.2 Search Process
2.3 Inclusion and Exclusion Criteria
2.4 Data Extraction
3 Result and Discussion
4 Recommended Solution
4.1 Hardware and Software Protection
4.2 Information Policy and Education
4.3 Information Security Framework
5 Conclusion
References
Prospecting 5G in the Mauritian Market Through the Diffusion of Innovation
1 Introduction
2 An Evolution of Internet Technologies
3 Broadband and Internet Policy
3.1 Internet Usage and Penetration in Mauritius
4 Competitive Launching of 5G in Mauritius
5 Promoting 5G in Mauritius
5.1 Perceived Benefits of 5G Technology
5.2 Shortcomings of 5G Technology
6 Massive IoT as a Driver of Smart Cities
7 An Overview of 5G Market Penetration
8 Using the Everett Rogers Model of Innovation Diffusion to Evaluate Mobile Technology Acceptance
9 Dependent Variables for 5G Success in Mauritius
10 Conclusion
References
Augmented Reality in Health Care: A Review
1 Introduction
1.1 Augmented Reality
1.2 History
1.3 Background
2 Methodology
2.1 The Technical Explanations of Augmented Reality
3 Areas of Application in Health Care
3.1 Neurosurgery
3.2 Laparoscopic Surgery
3.3 Orthopedic Surgery
3.4 Dental Surgery
3.5 Otorhinolaryngological Surgery
3.6 Justification of Most Efficient Surgery UbecomesR
3.7 Surgical Procedure
3.8 Diagnosis Using Mobile App
4 Conclusions
References
RERL Circuits Design Using Adiabatic Technique
1 Introduction
2 Adiabatic Technique
2.1 Reversible Energy Recovery Logic (RERL)
3 Proposed Work
4 Simulation Results
4.1 Comparison of RERL Inverter/buffer Using Eight-Phase and Four-Phase Clocking Scheme
4.2 Comparison of RERL AND/NAND Gate Using Eight-Phase and Four-Phase Clocking Scheme
4.3 Comparison of RERL 4X1 Multiplexer Using Eight-Phase Clocking Scheme and Static CMOS 4X1 mux
5 Conclusion
References
Integrating Educational Robots as a New Educational Tool for Effective Learning in Mauritius
1 Introduction
2 Literature Review
2.1 General Fact About Robots as an Instrument
2.2 Comparison Between Robot and Computer
2.3 Learning Modalities of Robots
3 Adaptability Principles of ER
3.1 Sustainable Learning
3.2 Relevance to Curriculum
3.3 Intelligence
3.4 Interaction
3.5 Embodiment
3.6 Pedagogy
3.7 Personalization
4 Robotics Kits in Terms of Competencies Transfer
5 Expected Benefits of ER
6 Potential Risks of ER
7 Conclusion
8 Recommendation
References
A Goal-Oriented Approach to Hybrid Learning in Higher Education Through the Use of the Ecosystem Model: A Case Study
1 Introduction
2 Literature Review
2.1 Mediatization of Communication and Content
2.2 The Learning Strategy-Face-to-Face Versus Online
3 Methodology
3.1 The Five Dimensions of the Hybrid System Under the Hy-Sup Model
3.2 Configurations and Predominant Conceptions of the Hy-Sup Model
3.3 The Components of the Hybrid Hy-Sup Model
4 Analysis and Findings
4.1 Behavioral Skills Used for Module Databases: Design and Development
4.2 The Fitted Typology
4.3 The Ecosystem Selected and Integrated in Hybrid Teaching
5 Conclusion and Recommendation
Appendix
References
Influence of COVID-19 on Talent Management: Perceptions of HR Specialists in Mauritius
1 Introduction
2 Literature Review
2.1 Talent Management
2.2 Talent Management Perspectives
2.3 Talent Management Outcomes
3 Methodology
4 Findings and Discussion
4.1 Recruitment and Skills Required
4.2 Flexible Work Arrangements and Training
4.3 Communicating and Engaging with Employees
4.4 Discussion
5 Conclusion
References
Framework for Health Care Services Delivery Under the Devolved System of Government in Kenya: An Empirical Review of Literature
1 Introduction
2 Health Care Service Delivery as a Complex Adaptive System
3 Health Care Ecosystem and Performance of Health Care Services
4 Health Care Delivery Operational Activities and Performance of Health Care
5 Health Care Systems Structure and Performance of Health Care Services
6 Research Methodology
7 Research Gaps
8 Research Hypotheses
9 Conceptual Framework
10 Operational Framework
11 Conclusion
References
Advanced Image Processing, Software Engineering, and Security
Improvising Encrypted Traffic Analysis Using Stacking Ensemble Model
1 Introduction
2 Literature Survey
3 Methodology
3.1 Dataset and Feature Extraction
3.2 Balancing the Dataset
3.3 Principle Component Analysis (PCA)
3.4 The Proposal Approach
4 Results
5 Conclusion and Future Work
References
Effective Encrypted Traffic Analysis
1 Introduction
2 Related Works
3 Features Extraction
4 Traffic Anomaly Detection
4.1 Support Vector Machines
4.2 Particle Swarm Optimization (PSO)-SVM
4.3 PSO Algorithm
5 Result, Conclusion, and Future Direction
References
Enhancing Negotiation Flexibility of Smart Contract in Hyperledger Framework
1 Introduction
1.1 Motivation of the Work
2 Literature Review
3 Limitations of Hyperledger Framework
3.1 Rigidity of Smart Contract in Hyperledger
3.2 Problem Definition and Scope of the Work
4 The Proposed Solution
4.1 Enhancing Flexibility of Smart Contracts in Hyperledger
4.2 Algorithm of Procedure FlexiFeature()
4.3 Analysis and Discussion
5 Conclusion and Future Work
References
FusedNet: A Fusion of Time Series and Imaging Based Human Activity Recognition Using ResNet
1 Introduction
2 Related Work
3 Proposed FusedNet Methodology
3.1 Gramian Angular Field
3.2 System Architecture
4 Experiments and Result Analysis
4.1 Dataset Description
4.2 Performance Metrics
4.3 Comparative Evaluation
5 Conclusion and Future Work
References
Human-Machine Interactions and Agility in Software Development
1 Introduction
2 Literature Review
2.1 Waterfall Methodology
2.2 Agile Methodology
2.3 Hybrid Methodology
3 Project Management Using Agile
4 Agile Project Information Flow
5 Engaging Employees Using Agile Principles
6 Scrum
7 The Data Science Process
8 Aligning the Data Science Process to Agile Teams
8.1 Human Factors
8.2 Velocity
8.3 Team Metrics
8.4 Health Metrics
9 Results with Discussion
10 Conclusion
References
A Hybrid Approach of Image Segmentation for Medical MR Images Using SMKFCM and Genetic Algorithm
1 Introduction
2 Proposed Methodology
2.1 Preprocessing
2.2 Image Segmentation
2.3 FCM Algorithm
2.4 KFCM Algorithm
2.5 MKFCM Algorithm
2.6 SMKFCM Algorithm
2.7 Genetic Algorithm
3 Proposed Image Segmentation Flow
4 Simulation Results
5 Conclusions
References
Empirical Validation of Deep Learning Based on Image Captioning Models
1 Introduction
2 Related Work
3 Dataset Collection
4 Methodology
4.1 Convolutional Model Encoder
4.2 Long Short-Term Memory ((LSTM)-Decoder
4.3 Data Preprocessing
4.4 Feature Extraction
4.5 Model Training and Evaluation
5 Performance Measure
6 Result and Discussion
7 Conclusion and Future Work
References
Detection of Diabetic Retinopathy Severity by Image Classification Using a Hybrid Model and Attention Mechanism
1 Introduction
2 Related Works
3 Background and Methodology
3.1 Background
3.2 Proposed Network Architecture
3.3 Dataset and Evaluation
4 Experiment Results
5 Conclusion
References
Pneumonia Identification and Classification Using CNN Model Based on Chest X-Ray Image in Healthcare
1 Introduction
1.1 Research Challenges of Pneumonia Infection Identification
2 Literature Review
2.1 Comparison and Discussion
3 CNN Architecture
4 Functions of Convolution Neural Network Layers
4.1 Convolution Layer
4.2 Pooling Layer
4.3 Fully Connected Layer
5 Materials and Methods
5.1 Problem Setting
5.2 Datasets
5.3 Pre-processing
5.4 Data Augmentation
5.5 Model
6 Results
7 Future Scope and Conclusions
References
Ticket Classification Using Machine Learning
1 Introduction
2 IT Ticket Classifier Solution
3 Solution Methodology for Building NLP Classifier Model
4 Experimental Set-Up and Results
4.1 Experimentation Results and Analysis
5 Demo App, Ticket Classification Service and NLP Model
5.1 Scenario 1: Mismatch in User-Selected Category Versus Predicted Model Category
5.2 Prediction Scenario: Low Predicted Accuracy Score
5.3 Prediction Scenario: Forward to the Automation Queue
5.4 Prediction Scenario: Language Detection and Translation for Non-English Data
6 Conclusions and Recommendations
7 Directions of Future Work
References
Biometric-Based Key Handling Using Variation to Scale Invariant Feature Transform amid COVID-19 Pandemic
1 Introduction
2 Proposed Work
3 Experimental Results and Discussion
3.1 Experimental Setup and Dataset Description
3.2 Results and Discussion
4 Conclusion
References
MedChain: Blockchain-Based Healthcare Management System
1 Introduction
2 Background
2.1 Blockchain
2.2 Proof of Work (PoW)
2.3 Smart Contracts
2.4 Blockchain in Healthcare
3 Proposed System Architecture Model
3.1 System Setup
3.2 Internal Architecture of Blockchain Handshaker
3.3 Transactions
4 Deployment of Smart Contract
4.1 Communication Among the Components of the Proposed System
4.2 Implementation
5 Conclusion
References
Pneumocystis jirovecii Fungi Detection Using Microscopy Image: A Deep Learning Approach
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Dataset Description
3.2 Dataset Augmentation and Processing
3.3 Deep Learning Approach: Vision Transformer
4 Experimental Results and Discussion
5 Conclusion
References
Stereo Image Transformation Employing Novel View Synthesis
1 Introduction
2 Related Work
3 Proposed Image Transformation Architecture
3.1 Camera Calibration
3.2 Disparity Map Generation
3.3 Point Cloud Generation
3.4 Rigid Transformation on the Point Cloud
3.5 2D Image Generation from Transformed Point Cloud
3.6 Mask Generation
3.7 Inpainting with the Mask on the 2D Image
4 Results of the Proposed System to Synthesise Novel Views
5 Optimising the Generation of Novel Views
5.1 Reduced Number of Reference Images Taken
5.2 Construction of 3D Point Cloud
5.3 Inpainting Rather Than Primitive Hole Filling
6 Conclusion and Future Scope
Appendix
References
IoT, Big Data, and Cloud Computing
Towards an Intelligent Nature-Inspired Optimization Framework for Managing Healthcare Big Data
1 Introduction
2 Related Work
3 Proposed Intelligent Healthcare Framework
3.1 SMOTE
3.2 Particle Swarm Optimization
3.3 Random Forest
4 Performance Evaluation
5 Results and Discussions
6 Conclusions and Future Scope
References
A Solar Power-Enabled and LoRa-Based Smart Irrigation and Monitoring System
1 Introduction
2 Literature Survey
3 Methodology
3.1 Approach
3.2 Components
4 Result and Performance Analysis
4.1 Simulation Environment and Results
4.2 Performance Analysis
5 Conclusions and Future Work
References
Hybrid Machine Learning Framework for Network Intrusion Detection in IoT-Based Environments
1 Introduction
2 Background Studies
3 Proposed Framework
3.1 Naïve Bayes Algorithm
3.2 Random Forest Algorithm
3.3 Proposed H-NTC Algorithm
4 Results and Discussions
4.1 Performance Evaluation
4.2 Precision
4.3 Recall
4.4 False Positive Rate
4.5 F1-Score
4.6 Accuracy
4.7 Receiver Operating Characteristic Curve
4.8 Experimental Results
5 Conclusion and Future Challenges
References
Distributed Cloud Storage Using Blockchain and Cryptographic Algorithms
1 Introduction
2 Related Work
3 Methodology
4 Conclusion and Future Scope
References
Integration of Classical and Quantum Network Simulator: ns3 with NetSquid
1 Introduction
1.1 Quantum Communication
1.2 Superdense Coding Protocol
2 Related Work
3 Proposed Architecture
3.1 Architecture Overview
3.2 The Sender
3.3 Quantum Bridge
3.4 Quantum Space ch50NetSquidpaper
3.5 The Receiver
3.6 Custom Point to Point Helper Class
4 Experiments
5 Results
5.1 Experiments with Changing Packet Size and Keeping Depolar Rate Fixed
5.2 Experiments with Changing Depolar Rate and Keeping Packet Size Fixed
6 Conclusions and Future Work
References
Designing a System Using Features Selection Based on Filter Methods and XGBoost Classifier for Detecting Intrusion in Cloud
1 Introduction
2 Literature Review
3 Background
3.1 Pre-processing
3.2 Selection of Feature
3.3 The Classifier
4 Experimentation and Discussion of Results
4.1 Definition of Datasets
4.2 Measures of Performance
4.3 Analysis of Results
5 Conclusion
References
Energy-Proficient Adaptive Queuing Model-Based Clustering Scheme for Improving Network Lifetime in Wireless Sensor Networks
1 Introduction
2 Related Work
3 Adaptive Queuing Model-Based Clustering Scheme to Facilitate Energy Proficiency (AQMCS)
3.1 Poisson Distribution-Based CH Selection
3.2 AQM-Based Sleep/Wakeup Scheduling for Power Saving in WSN
4 Experimental Results and Discussion
5 Conclusion
References
Performance Evaluation of SDN-Assisted Fog Computing System with State-Dependent Service
1 Introduction
2 Related Work
3 Proposed Model
4 Analytical Model
4.1 Performance Measures
5 Numerical Examples
6 Conclusions
References
Automating Temperature Recording at Ferrocast Industry
1 Introduction
2 Process of Casting
3 Implementation at Ferrocast
4 Conclusion
References
Snow Leopard Optimization Algorithm-Based Energy Efficient Cluster Head Selection in Internet of Things
1 Introduction
2 Related Work
3 Snow Leopard Optimization Algorithm (SLOA)-Based CH Selection Strategy
3.1 Selection of CHs Using SLOA
3.2 Primitives of SLOA for CH Selection
3.3 Cluster Formation
4 Simulation Results and Discussion
5 Conclusion
References
Fog and Edge Computing-Based Smart Health Care System Using Machine Learning
1 Introduction
2 Literature Review
3 Real-Time Health Monitoring System
3.1 Proposed Work
3.2 Experimental Setup
4 Result Analysis
5 Conclusion
References
Analysis and Characteristics of Physically Unclonable Functions
1 Introduction
2 Basic Concepts of PUF
2.1 Silicon PUF
2.2 Non-silicon PUF
3 Modeling Attack on PUF
4 Result Analysis
4.1 Uniqueness
4.2 Reliability
4.3 Randomness
5 Conclusion and Future Scope
References
A Delay Compensation Approach for IoT-Enabled PID Controller Using MATLAB/Simulink
1 Introduction
2 Preliminaries of Network Controller Design
2.1 Network PID Controller System Modeling via 2nd Scheme of Ziegler-Nichols
2.2 Use of Pole Placement Method for Tuning of PID Controller Parameter
3 Discussions and Simulation Results Analysis
4 Conclusions
References
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Proceedings of the 7th International Conference on Advance Computing and Intelligent Engineering

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