Proceedings of Fourth International Conference on Computing, Communications, and Cyber-Security

Name: Proceedings of Fourth International Conference on Computing, Communications, and Cyber-Security | IC4S 2022
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IC4S 2022

Sudeep Tanwar Slawomir T. Wierzchon Pradeep Kumar Singh Maria Ganzha Gregory Epiphaniou(Editor)

Springer (Publisher)

1st Edition

Published on 1. July 2023

XXVII, 929 pages

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978-981-99-1479-1 (ISBN)

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Persons

Dr. Sudeep Tanwar is a professor in the Computer Engineering Department at the Institute of Technology of Nirma University, Ahmedabad, India. He received his Ph.D. in 2016 from the Faculty of Engineering and Technology, Mewar University, India, with a specialization in wireless sensor networks. His current interests include routing issues in WSN, integration of sensors in the cloud, computational aspects of smart grids, and blockchain technology. He has authored or co-authored more than 150+ technical research papers published in leading peer-reviewed international journals and international conferences from the IEEE, Elsevier, Springer, and John Wiley and has authored five books. He is a recipient of the Best Research Paper awards from IEEE GLOBECOM-2018 and Springer ICRIC-2019. He is a TPC member and reviewer of many international conferences across the globe. He is an associate editor of the Security and Privacy Journal and is a member of the IAENG, ISTE, and CSTA. He has Google Scholar citations 8405, H-index 52 and i-10 index 140.

Prof. Slawomir T. Wierzchon received M.Sc. and Ph.D. degrees in Computer Science from Technical University of Warsaw, Poland. He holds Habilitation (DSc) in Uncertainty Management from Polish Academy of Sciences. In 2003, he received the title of Professor from the President of Poland. Currently, he is a full professor at the Institute of Computer Science of Polish Academy of Sciences. His research interests include computational intelligence, uncertainty management, information retrieval, machine learning, and data mining. He is an author/co-author of over 100 peer-reviewed papers in international journals and international conferences. He published, as author/co-author, 11 monographs from the field of Machine Learning. In the period 2000-2013, he co-organized 13 international conferences on intelligent information systems. Co-authored proceedings from these conferences were published by Springer. He co-edited two volumes of proceedings of the international conference on Computer Information Systems and Industrial Management, and he has served as a guest co-editor of three special issues of Information and Control journal. Currently, he is a member of the editorial board for some international journals, as well as member of many program committees for international conferences. He cooperated with medical centers in the area of statistical data analysis and knowledge discovery in databases. For more information, visit his homepage.

Dr. Pradeep Kumar Singh is currently working as a professor and head in the Department of Computer Science at KIET Group of Institutions, Ghaziabad, India. He is an associate editor of the IJISMD, [IJISMD is indexed by Scopus and Web of Science], IJAEC, IGI Global USA, SPY, Wiley, and IJISC from Romania. He is recently appointed as a section editor, Discover IoT, Springer Journal. He has published nearly150 research papers. He has received three sponsored research project grant worth Rs 25 Lakhs. He has edited a total of 16 books from Springer and Elsevier and also edited several special issues for SCI and SCIE Journals from Elsevier and IGI Global. He has Google Scholar citations 1850, H-index 22 and i-10 index 50.

Dr. Maria Ganzha is an associate professor in the Faculty of Mathematics and Information Science. She has an M.S. degree and a Ph.D. degree in Mathematics from the Moscow State University, Russia, and a Doctor of Science degree (in Computer Science) from the Polish Academy of Sciences. Maria has published more than 200 research papers, is on editorial boards of 6 journals and a book series, and was invited to program committees of more than 150 conferences. She is also the principal investigator, of the SRIPAS team, in the INTER-IoT project. Here, her team is responsible for use of semantic technologies in the context of interoperability of IoT platforms. She has 1594 Google citations, H-index 19 and i-10 index 58 in her account. Her area of interest includes computational intelligence, distributed systems, agent-based computing, and semantic data processing.

Dr. Gregory Epiphaniou currently holds a position as an associate professor of security engineering at the University of Warwick. His role involves bid support, applied research, and publications. Part of his current research activities is formalized around a research group in wireless communications with the main focus on crypto-key generation, exploiting the time-domain physical attributes of V-V channels. He led and contributed to several research projects funded by EPSRC, IUK, and local authorities totaling over £8M. He is also the main inventor of a patented-pending technology on a distributed ledger system (GB2576160A/US200042497A1). He was previously holding a position as a reader in Cybersecurity and acted as deputy director of the Wolverhampton Cybersecurity Research Institute (WCRI). He has taught in many universities both nationally and internationally in a variety of areas related to proactive network defense with over 120 international publications in journals and conference proceedings and author in several books and chapters. He holds several industry certifications in Information Security and worked with several government agencies, including the UK MoD, in cybersecurity-related projects. He currently holds a subject matter expert panel position at the Chartered Institute for Securities and Investments. He acts as a technical committee member for several scientific conferences in information and network security. He serves as a key member in the development of WS5 for the formation of the UK Cybersecurity Council.

Content

Intro
Preface
Contents
Editors and Contributors
Communication and Network Technologies
Design and Implementation of an IoT-Based Indoor Hydroponics Farm with Automated Climate and Light Control
1 Introduction
2 Literature Review
3 System Design Methodology
3.1 System Architecture
3.2 IoT System Decision Flow
3.3 User Interface Mobile Application
4 Results
5 Conclusion
References
Drone Ecosystem: Architecture for Configuring and Securing UAVs
1 Introduction
2 UAV Ecosystem Infrastructure
3 Communication Architecture-Stage One
3.1 UAV or Drones
3.2 Light-Weight Cryptographic Function
3.3 Ad Hoc Network
4 Communication Architecture-Stage Two
4.1 5G Cellular Network
4.2 5G Cellular Tower
4.3 Network Slicing
5 Communication Architecture-Stage Three
5.1 Ground Station
5.2 Sub-ground Station
5.3 HTTP-3/QUIC Messaging Protocol
5.4 Zero-Round Trip Time (Zero/0-RTT)
5.5 Cloud, Cloud-Based Storage, and WAi
6 Security: Types of Attacks
6.1 Cyberattack Vectors
6.2 Physical Threat to Drones
7 Conclusion and Future Scope
References
An Improved Neural Network-Based Routing Algorithm for Mobile Ad Hoc Networks
1 Introduction
2 Related Work
3 Proposed Method
3.1 Path Finding Mechanism
3.2 Management of Event
3.3 Evaluation of the QoS Parameters
4 Results and Discussion
5 Conclusion
References
Energy Harvesting in Fifth-Generation Wireless Network: Upcoming Challenges and Future Directions
1 Introduction
2 Background and Motivation
3 Trends in Energy Harvesting
4 Challenges
5 Future Directions
6 Conclusion
References
Develop a Quantum Based Time Scheduling Algorithm for Digital Microfluidic Biochips
1 Introduction
2 Problem Description
2.1 Motivation
2.2 Problem Formulation
3 Proposed Algorithm
4 Experimental Result
5 Conclusion
References
Revolution in Agriculture with the Aid of Internet of Things
1 Introduction
2 Review of Literature
3 Benefits of IoT in Agriculture
4 Role of IoT in Agriculture
5 Proposed Systems
6 Conclusion
References
Supercontinuum Generation in Dispersion-Tailored Tetrachloroethylene Filled Photonic Crystal Fibers
1 Introduction
2 Theoretical Model of Tetrachloroethylene PCF
3 Dispersion Properties of the Proposed Fiber
4 SCG in Optimized Structures
5 Conclusion
References
Early Detection of Covid-19 Using Wearable Sensors' Data Enabled by Semantic Web Technologies
1 Introduction
1.1 Motivation
1.2 Objective
1.3 Contribution
2 Literature Survey
2.1 IoT and Covid-19
2.2 SWT and SWoT
2.3 Related Works-Early Detection of Covid-19
3 Methodology
4 Evaluation
4.1 Method and Metrics
4.2 Results
4.3 Discussion
5 Conclusion and Future Scope
References
Cell Outage Detection in 5G Self-organizing Networks Based on FDA-HMM
1 Introduction
2 FDA Feature Extraction Method
3 Hidden Markov Models
4 HMM Training and Detection
4.1 Training Stage
4.2 Detection Stage
5 Simulation Results
5.1 FDA-HMM Performance at Different pp and upper LL
5.2 FDA-HMM Performance Comparison with Other Detectors
6 Conclusion
References
IoT-Based Scalable Framework for Pollution Aware Route Recommendation
1 Introduction
2 Background
3 Air Quality Standards
4 Proposed Architecture
4.1 Air Pollution Tracking
4.2 Traffic Re-routing
5 Process Methodology
6 Experimental Setup
6.1 Ingest
6.2 Collect
6.3 Process
6.4 Store
6.5 Visualize
6.6 Route Recommendation
6.7 User Interface
6.8 Result Analysis
7 Interface
8 Conclusion and Future Directions
References
Drone: A Systematic Review of UAV Technologies
1 Introduction
1.1 About the Drone and Its History
2 Contextual and Associated Work
2.1 Literature Review
2.2 Challenges in the Field of UAVs
2.3 Applications of Drones
2.4 Advantages and Disadvantages of Drones
2.5 Simulator Tools
3 Future Work and Conclusions
References
Reconfigurable Intelligent Surface-Enabled Energy-Efficient Cooperative Spectrum Sensing
1 Introduction
2 System Model
3 Energy Efficiency of RIS-Based CSS
4 Results and Discussion
5 Conclusion and Future Scope
References
Resource Sharing in Back Haul Satellite-Based NOMA Network
1 Introduction
2 System Model
2.1 Selection a User for a BS
2.2 Access to Satellite
3 Results and Simulation
4 Conclusion
References
Advanced Computing Technologies
A Review on Various Deepfakes' Detection Methods
1 Introduction
2 Deepfakes' Generation
3 Generative Adversarial Networks (GANs)
4 Types of Deepfakes
5 Literature Survey
6 Conclusion
References
Proposed Framework for Implementation of Biometrics in Banking KYC
1 Introduction
2 Literature Review
3 Biometric Security
3.1 Biometric Implementation in Banking
4 Retinal Biometric Recognition
4.1 What Is Retinal Biometric Recognition
4.2 Working of Retinal Biometric Recognition
4.3 Application of Iris Recognition
5 Threats and Attacks on Banking
6 Proposed Methodology
6.1 Components of the Adaptive Framework
6.2 Adaptive Operational Framework
7 Strengths of Proposed Methodology
7.1 Design Objectives of KYC Framework
8 Conclusion and Future Scope
References
Paddy Pro: A MobileNetV3-Based App to Identify Paddy Leaf Diseases
1 Introduction
2 Literature Survey
3 Proposed System
3.1 System Architecture
4 Classification Models
4.1 Convolutional Neural Networks (CNN)
4.2 MobileNetV3
4.3 Transfer Learning
4.4 Mobile App Development
5 Experimental Results
5.1 Performance Analysis
6 Conclusion
References
Cryptanalysis of RSEAP2 Authentication Protocol Based on RFID for Vehicular Cloud Computing
1 Introduction
1.1 RFID Communication System Security Standards for IoT
2 Literature Review
2.1 Definition of the Problem
2.2 The Purpose and Signicance of Our Work
3 Definitions and Mathematical Preliminaries
3.1 Background of ECC
4 RSEAP2-Protocol
5 Security Analysis of RSEAP2
5.1 Inappropriate Extraction of Keys
5.2 Inefficient Mutual Authentication Attack
5.3 Inefficient Session Key Establishment Attack
5.4 Attack on Denial of Service
5.5 Availability Issues
6 Performance Analysis
7 Concluding Remarks
References
A Survey on Code-Mixed Sentiment Analysis Based on Hinglish Dataset
1 Introduction
2 Related Research
3 Datasets
4 Challenges and Issues
5 Conclusion
References
An Alternative to PHP for the Development of Web Applications: Java Server Pages Engine
1 Introduction
2 Concept Statement
2.1 JSP: The Basis and High-Speed Setting
2.2 Shell for Java Server Pages
3 The Perspectives of Using Java Server Pages
4 Conclusions
References
Novel Load Balancing Technique for Microservice-Based Fog Healthcare Environment
1 Introduction
1.1 Motivation and Novelty
1.2 Load Balancing in Fog Computing
2 Load Balancing Technique for Microservice-Based Fog Healthcare Environment
2.1 Workflow
2.2 Details of Microservice in Proposed Healthcare System
2.3 Success_factor-Based Load Balancing Algorithm
3 Result and Discussion
3.1 Throughput
3.2 Execution Time
4 Conclusion
References
Self-improved COOT Algorithm for Resource Allocation in Cloud Data Centers
1 Introduction
2 Literature Review
2.1 Related Works
3 Resource Allocation Method in Cloud: An Overview of Proposed Concept
3.1 Suggested Resource Allocation Method
3.2 Cloud Setup
4 Improved K-means-Based Workload Clustering: SUCO-Based Optimal Centroid Identification
4.1 Improved K-means Clustering-Based Workload Clustering
4.2 Defined Threefold Objectives
4.3 Suggested SUCO Model for Resource Allocation and Optimal Centroid Selection
5 Results and Discussion
5.1 Simulation Procedure
5.2 Analysis on Energy Consumption
5.3 Analysis on Execution Time
5.4 Analysis on Resource Utilization
5.5 Convergence Analysis
5.6 Performance Analysis
5.7 Analysis on Computing Time
6 Conclusion
References
XGBoost-Based Prediction and Evaluation Model for Enchanting Subscribers in Industrial Sector
1 Introduction
1.1 Customer Interaction
1.2 Customer Engagement Marketing
1.3 Implementing a Customer Engagement Marketing Strategy
1.4 Customer Interaction Strategies
2 Literature Review
3 Proposed System Model
3.1 Work Flow Classification
4 Simulation Results
5 Conclusion and Future Work
References
CleanO-Renewable Energy-Based Robotic Floor Cleaner
1 Introduction
2 Product Design
2.1 Product Comparison
2.2 Empathize and Ideate Phase
3 Proposed System Model
3.1 Block Diagram
3.2 Architectural Diagram of IoT-Based Floor Cleaner
3.3 Navigation System
4 Proposed Product Prototype
5 Challenges and Research Opportunities
5.1 Networking
5.2 Machine Learning
5.3 Blockchain
5.4 Artificial Intelligence
5.5 Renewable and Reusable Energych23b27
5.6 Future Resources
6 Conclusion
References
Impact of "COVID-19 Pandemic" on Children Online Education: A Review and Bibliometric Analysis
1 Introduction
1.1 Motivation
2 Preliminary Data
2.1 Initial Search Results
2.2 Preliminary Data Analysis
3 Bibliometric Analysis
3.1 Geographical Region Analysis
3.2 Network Analysis
3.3 Statistical Analysis of Publication Citation
4 Conclusion and Discussion
References
Digital-Based Learning in Indian Government's Higher Education: Initiatives and Insights
1 Introduction
1.1 Role of Digital-Based Learning
1.2 Digital Learning Strategy
1.3 Individualized Learning
1.4 Gamification and Badging
1.5 Mobile Learning (M-Learning)
1.6 Digital Learning Resources and CEC-UGC YouTube Channel
2 Literature Review
3 Electronic Textbook
3.1 e-PGPathshala, e-ShodhSindhu, Shodhganga, and e-GyanKosh
4 Animation and Graphics
4.1 SWAYAM and SWAYAM Prabha
4.2 NDLI
4.3 Spoken Tutorial and Virtual Labs
4.4 FOSSEE
4.5 ShodhShudhhi
4.6 e-Yantra, e-Kalpa, and e-Acharya
4.7 NSDL Database Management Limited Academic Depository (NDMLAD)
4.8 Vidwan
5 Conclusion
References
Autonomous Vehicles Adoption Classification for Future Mobility in UAE Using Machine Learning
1 Introduction
2 Related Literature
3 Methodology
3.1 Data Collection
3.2 Data Preprocessing
3.3 Model Development
4 Model Evaluation and Results
5 Conclusion
References
An Augmented Reality Framework as a Solution to Enhance the Experience of Visiting a Museum
1 Introduction
2 Related Works
3 Proposed Solution Architecture
3.1 System General Overview
3.2 Overall System Architecture
4 Mobile Application
5 Augmented Reality
5.1 AR Systems
5.2 ImmersalAR Versus EasyAR
6 3D Content Acquisition
6.1 3D Eva Scanner
6.2 Photogrammetry
7 Experimental Results
8 Discussion-Augmented Reality Compatibility
9 Conclusions
References
Hybrid Real-Time Implicit Feedback SOM-Based Movie Recommendation Systems
1 Introduction
2 Background and Related Work
3 Hybrid Action-Related System
4 Experiments and Discussions
5 Observations
6 Conclusion
References
Data Analytics and Intelligent Learning
Automatic SMS Spam Filtering for Disaster Response Using Classification Algorithms
1 Introduction
2 Literature Review
3 Methodology
4 Experimental Results
5 Conclusion
References
Lung Cancer Diagnosis Using X-Ray and CT Scan Images Based on Machine Learning Approaches
1 Introduction
2 Literature Review
3 Taxonomic Classification for Diagnosis of Lung Cancer Using Machine Learning
4 Machine Learning-Based Diagnosis of Lung Cancer Using X-Ray and CT Scan
4.1 Acquisition of Image Dataset
4.2 Image Preprocessing
4.3 Lung Segmentation
4.4 Nodule Enhancement
4.5 Nodule Detection
4.6 Feature Extraction
4.7 Machine Learning Algorithms
4.8 Classification
5 Conclusion
References
Hybrid Machine Learning Algorithm for Prediction of Malaria
1 Introduction
2 Related Works
3 Material and Method
3.1 Dataset Analysis
3.2 Parameters Analysis
3.3 Model Architecture
3.4 Model Evaluation
4 Result and Discussion
5 Conclusion
5.1 Feature Work
References
Yoga Pose Estimation Using Machine Learning
1 Introduction
1.1 Human Pose Estimation
1.2 Problem Statement
2 Literature Survey
3 Dataset
3.1 Dataset Acquisition
3.2 Label Hierarchy and Annotation
4 About MediaPipe
5 Methodology
5.1 Processing the Dataset
5.2 Algorithm Design
5.3 Model Description
5.4 Pseudocode
6 Results
6.1 Level 1
6.2 Level 2
6.3 Level 3
7 Conclusion
References
COVID Detection from Chest X-Ray Images Using Deep Learning Model
1 Introduction
1.1 General
1.2 Prediction
1.3 Objective
2 Literature Review
3 Methodology
3.1 Overview
3.2 Working
3.3 X-Ray Classification
3.4 Dataset
3.5 Pre-processing Techniques
3.6 COVID Detection Model
4 Experimental Results
5 Conclusion
References
Impact of Boosting Techniques in AI-Based Credit Card Fraud Detection Classifier
1 Introduction
1.1 Contribution
1.2 Organization
2 Related Work
3 Most Prominent Fraud Detection Use Cases
4 Proposed Research Work
4.1 Dataset
4.2 Execution Flow
4.3 Solution and Challenges
5 Methodology and Concepts
5.1 kNN
5.2 Naive Bayes Classifier
5.3 Decision Tree
5.4 Random Forest
5.5 AdaBoost Classifier
5.6 Multilayer Perceptron
5.7 Boltzmann Machine
6 Execution and Implementation
6.1 Dataset Selection
7 Results and Discussions
8 Conclusion and Future Work
References
Stock Price Prediction for Market Forecasting Using Machine Learning Analysis
1 Introduction
1.1 Research Contribution
2 Forecasting Stock Prices Using Machine and Deep Learning
2.1 Related Works
3 Forecasting in Stock Price Prediction and Time Series Analysis
3.1 Augmented Dickey-Fuller Test
3.2 Kwiatkowski-Phillips-Schmidt-Shin Test
4 Case Study: Time Series Analysis Using LSTM, ARIMA and SARIMAX Models
4.1 Long Short-Term Memory Analysis
4.2 Autoregressive Integrated Moving Average Analysis
4.3 SARIMAX Model
5 Conclusion and Future Works
References
Thyroid Carcinoma Prediction Using ACO and Machine Learning Techniques
1 Introduction
1.1 Thyroid Carcinoma
2 Literature Review
3 Problem Statement
4 Proposed Methodology
5 Implementation of Algorithm
6 Ant Colony Optimization Algorithm-Based Feature Selection
7 Result and Discussion
8 Conclusion
References
Cyclone Intensity Detection and Classification Using a Attention-Based 3D Deep Learning Model
1 Introduction
2 Literature Survey
3 Proposed Methodology: 3D Attention Module
4 Results and Discussion
5 Conclusion
5.1 Future Scope
References
Towards Development of Data Architecture for Learning Analytics Projects Using Data Engineering Approach
1 Introduction
2 Motivation
3 Research Organisation
4 Related Work
5 Unified Architecture for Data Infrastructure
6 Current State of Data Infrastructure Implementation at the University
7 Discussion and Conclusion
References
A Real-Time Road Crash Prediction Model by Hybridizing Multiple Learning Classifiers
1 Introduction
2 Literature Survey
3 Proposed Methodology
4 Results and Discussion
5 Conclusions
References
Machine Learning Assisted Intelligent Reflecting Surface MIMO Communication-Gateway for 6G-A Review
1 Introduction
2 Machine Learning for Wireless Systems with IRS-Assistance
2.1 Deep Learning for Communication Systems Assisted by IRS
2.2 Reinforcement Learning for IRS-Emphasised Communication Systems
2.3 Supervised Learning for Communication Systems Enhanced by IRS
2.4 Unsupervised Learning for Communication Systems Enhanced by IRS
2.5 Federated Learning for Communication Systems Enhanced by the IRS
3 Future Directions for Research in Machine Learning-Based IRS-Aided Wireless Communication
3.1 Optimal Deployment of IRS
3.2 Dynamic Hybrid Beamforming
3.3 Modelling of Constrained Systems
3.4 Channel State Characterisation
3.5 IRS for IoT Network
3.6 Anti-eavesdropping Measures
3.7 Mm Wave Communication
3.8 EDGE Intelligence
4 Conclusion
References
AI-Based Invoice Payment Date Prediction for B2B
1 Introduction
2 Literature Survey
3 Proposed Method
3.1 Logistic Regression
3.2 Decision Tree
3.3 Support Vector Machine (SVM)
3.4 Pre-processing
3.5 Comparison with Various Regression
4 Conclusion
References
Early Fault Detection for Rotating Machinery Onboard Ships Motor Using Fuzzy Logic and K-Means
1 Introduction
2 Literature Survey
2.1 Failures in Motor
2.2 Causes of Failure
3 Methodology Adopted
4 Proposed Work
4.1 Fuzzy Inference System
4.2 Membership Functions
4.3 If-Then Rules
4.4 Evaluation with Fuzzy Inference System
4.5 Dimensionality Reduction for K-Means Clustering
4.6 Optimal Parameter Calculation for K-Means Clustering
4.7 Evaluation with K-Means Clustering
5 Conclusion
References
Intellectual Movie Recommendation System Using Supervised Machine Learning Method
1 Introduction
2 Related Works
3 Proposed Approach
4 Machine Learning Algorithm Used for Recommendation System
5 Performance Assessment
6 Results
7 Conclusion and Future Work
References
A Comparative Study on Different Machine Learning Algorithms for Predictive Analysis of Stock Prices
1 Introduction
1.1 Stock Prediction
1.2 Sentiment Analysis
1.3 Motivation
1.4 Research Contribution
2 Experimental Work
3 Result and Discussion
3.1 Random Forest
3.2 Linear Regression
3.3 Support Vector Machine
4 Conclusion and Future Scope
References
Opinion Mining-Assisted Intelligent Program Selection Employing Fuzzy SWARA Mechanism
1 Introduction
2 Motivation
3 Proposed Methodology
4 Implementation
5 Result and Discussion
6 Conclusion
References
Deraining of Image Using UNet-Based Conditional Generative Adversarial Network
1 Introduction
1.1 Motivation
1.2 Related Works
1.3 Contribution and Organization of Paper
2 Methodology
2.1 Network Architecture
3 Results and Discussion
3.1 Datasets
3.2 Evaluation Metrics
3.3 Comparison with the State-of-the-Art Methods
4 Conclusion and Future Scope
References
Video Indexing and Retrieval Techniques: A Review
1 Introduction
2 Different Approaches of Video Indexing and Retrieval
2.1 Keyframes Features
2.2 Object-Based Features
2.3 Motion-Based Features
3 Analysis of Different Video Indexing and Retrieval Techniques
4 Video Indexing and Retrieval Challenges
5 Applications
6 Conclusion
References
A Robust Deep Learning Techniques for Alzheimer's Prediction
1 Introduction
2 Literature Survey
3 Proposed Method
3.1 Overview of the Architecture
3.2 Data Pre-processing
3.3 Inception(V3) Network
3.4 Fastai
4 Experiments
5 Conclusion
References
Latest Electrical and Electronics Trends
Steganography Methods for GIF Images: A Review
1 Introduction
2 Categorization of Steganography Methods
2.1 Palette-Based Embedding
2.2 Frame-Based Embedding
3 Related Works
3.1 Palette-Based Method
3.2 Frame-Based Method
4 Evaluation Methods
4.1 Image Quality Assessment
5 Future Directions
6 Conclusion
References
Image Interpolation-Based Steganographic Techniques Under Spatial Domain: A Survey
1 Introduction
1.1 Motivation
2 Literature Review
2.1 Interpolation Techniques
2.2 Interpolation-Based Data Hiding Techniques
3 Comparative Analysis
4 Conclusion
References
A Comparative Review on Image Interpolation-Based Reversible Data Hiding
1 Introduction
2 Various Interpolation Methods
3 Related works
4 Results Analysis and Discussion
5 Conclusion
References
Real-Time Face Mask Detection Using Convolution Neural Network and Computer Vision
1 Introduction
2 Literature Review
2.1 Dataset
3 Proposed System
3.1 Implementing CNN Architecture in the Model
3.2 Data Splitting and CNN Model Training
3.3 Implementation
3.4 Proposed Algorithm
4 Experimental Results and Discussion
4.1 Detection of Face with Mask
4.2 Detection of Face Without Mask
5 Performance Analysis and Evaluation Metrics
6 Conclusion
References
A Video-Based System for Vehicle Tracking Based on Optical Flow and Shi-Tomasi Corner Detection Algorithm
1 Introduction
2 Vehicle Tracking Methods
3 Comparative Analysis
3.1 Object Detection Techniques
3.2 Vehicle Tracking Algorithms
4 Vehicle Tracking Algorithm
5 Implementation
5.1 Result of Pre-processing
5.2 Result of Vehicle Tracking
5.3 Results
6 Conclusion
References
Breast Cancer Classification Using a Novel Image Processing Pipeline and a Two-Stage Deep Learning Segmentation and Classification Approach
1 Introduction
1.1 Research Contribution
1.2 Paper Organization
2 Related Works
3 Proposed Methodology
3.1 About Datasets
3.2 Preprocessing Pipeline
3.3 Models
4 Results and Discussions
5 Conclusion
References
Analysis of Malignant and Non-malignant Lesion Detection Techniques for Human Skin Image
1 Introduction
1.1 Skin Lesion
1.2 Skin Lesion Types
1.3 Lesion Analysis Method
2 Review of Literature
3 Melanoma Diagnosis Techniques
3.1 ABCD-E Rule
3.2 Pattern Analysis
3.3 The 3-Point Checklist
3.4 Texture Assessment
3.5 Menzies Method
3.6 The Seven Point Checklist
4 Discussion
5 Conclusion and Future Scope
References
Implementation of Multi-input (MI) KY Boost Converter for Hybrid Renewable Energy System
1 Introduction
1.1 Review on Controllers
1.2 Survey on Controllers for Hybrid the Renewable Energy
2 Proposed System
2.1 Scope
2.2 Objective
2.3 Stability Analysis of Multi-input (MI) KY Boost Converters
3 PV/Wind Power System
3.1 Solar Energy System
3.2 Wind System
4 Design of Fuzzy-Based MPPT PV Panel and Wind System Control
5 Energy Management Using PV/Wind Power System
5.1 Battery Storage System
5.2 Energy Management
5.3 Intelligent Controller
6 Simulation Results
7 Results from Homer Software
8 Conclusion
References
Security and Privacy Issues
A Prevention Technique-Based Framework for Securing Healthcare Data
1 Introduction
1.1 Categories of Healthcare Data
1.2 Defining Blockchain
2 Literature Review
3 Healthcare Data-Related Vulnerabilities
4 Data Threats in Health Care
5 Prevention Techniques for Healthcare Data
6 Proposed Framework
6.1 Components of the Adaptive Framework
6.2 Adaptive Operational Framework
7 Strengths of Proposed Framework
8 Conclusion and Future Scope
References
An Enhanced Encryption Scheme for Cloud Security
1 Introduction
1.1 Introduction to Cloud Computing
2 Problem Statement and Proposed Method
2.1 Problem Formulation
3 Result Analysis
3.1 Parameters for Analyzing Performance
4 Conclusion
5 Future Scope
References
A Lightweight Authentication Scheme and Security Key Establishment for Internet of Medical Things
1 Introduction
1.1 Motivation and Problem Statement
1.2 Objectives
1.3 Organization of the Paper
2 Related Work
3 System Architecture
3.1 Protocol
4 Evaluations and Security Analysis
4.1 Performance and Comparative Analysis
5 Conclusions and Future Directions
References
Performance of Machine Learning Models on Crime Data
1 Introduction
1.1 Research Contribution
1.2 Organization of Paper
2 Background
3 Materials and Methodology
3.1 Dataset
3.2 Data Provenance
3.3 Libraries Applied
3.4 Data Preprocessing
3.5 Exploratory Data Analysis
3.6 Feature Scaling
3.7 Applied Machine Learning Models
3.8 Evaluation Parameters
4 Results
5 Conclusion
References
Improved Complexity in Localization of Copy-Move Forgery Using DWT
1 Introduction
2 Literature Review
3 Motivation
3.1 Discrete Wavelet Transform on Image
3.2 GLRLM Wavelet Texture Features
4 Proposed Method
5 Implementation
5.1 Dataset Description
5.2 Image Conversion to Gray Scale
5.3 Wavelet Transform
5.4 Dividing Sub-image LL into Overlapping Blocks
5.5 Wavelet GLRLM Feature Extraction from Image Blocks
5.6 Finding Similar Blocks
5.7 Final Result Processing
6 Performance Evaluation
7 Results
7.1 Jpeg Compression
7.2 Blurring
8 Comparison
9 Conclusion
References
Non-Fungible Tokens' Marketplace: A Secured Blockchain-Based Decentralized Framework for Online Auction
1 Introduction
2 Literature Survey
3 Secured NFT Marketplace-Embedded Blockchain
4 Methodology Proposed with Non-Fungible Token
4.1 Auction Mechanism
5 Implementation
5.1 Minting NFT Smart Contract Functionality
6 Conclusion
References
Untangling Explainable AI in Applicative Domains: Taxonomy, Tools, and Open Challenges
1 Introduction
1.1 Contributions and Layout
2 Related Work
3 Explainable AI-Scope, Inputs, and Techniques
3.1 XAI-The Basic Preliminaries
3.2 Techniques of Explainable AI
3.3 Tools and Frameworks
4 XAI in Applicative Verticals: A Solution Taxonomy
4.1 Industry
4.2 IoT Monitoring
4.3 Health Care
4.4 Software
5 Open Issues and Future Directions
6 Conclusion and Future Works
References
AutoBots: A Botnet Intrusion Detection Scheme Using Deep Autoencoders
1 Introduction
1.1 Contributions and Layout
2 Related Work
3 AutoBots: The Proposed Botnet Detection Method
3.1 Training Process
3.2 Consistent Checking for Anomaly Detection
4 AutoBots: Performance Evaluation
4.1 Experimental Setup
4.2 Botnet Deployed
4.3 Attacks Analysis
4.4 Results and Discussion
5 Conclusions
References
Study on Fuel Cell Vehicle Braking System Selection and Simulation
1 Introduction
2 Historical Background of Fuel Cell
3 Structural Design in Fuel Cell Electric Vehicle
4 Key Component of Fuel Cell Electric Vehicle
4.1 Battery Pack Selection
4.2 Choice of Fuel Cell
4.3 Traction Motor's Choice
5 Block Diagram of Vehicle on MATLAB/Simulink
6 Anti-lock Braking System
7 Components of ABS
8 Working of ABS
9 Regenerative Braking System
10 Conclusion
References
Deepfakes: A New Era of Misinformation
1 Introduction
1.1 Need and Importance
1.2 Deepfake's Origins
1.3 Impact on the World
1.4 Why Aren't They Illegal yet?
2 Process of Creating Deepfakes
2.1 Neural Networks
3 Approach
3.1 Step-by-Step Process
4 Results and Discussion
4.1 Spotting Deepfakes
5 Conclusion
References
Graph Neural Network-Based Anomaly Detection in Blockchain Network
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Graph-Based Techniques
3.2 Experimental Dataset
3.3 Background of Anomaly Detection
3.4 Graphic Neural Network
3.5 Proposed Method for Anomaly Detection
3.6 Classification
4 Experimental Analysis
5 Conclusion
References
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Proceedings of Fourth International Conference on Computing, Communications, and Cyber-Security

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