Soft Computing for Security Applications: Proceedings of ICSCS 2022 (Advances in Intelligent Systems and Computing, 1428)

Preface
Contents
About the Editors
Smart Question Paper Evaluation: Automated Approach Using the Jaccard Similarity
	1 Introduction
	2 Literature Review
	3 Proposed Approach
	4 Results
	5 Conclusion
	References
Smart Patterns: Searching a Pattern in the Unknown Environment Using Hybrid Framework
	1 Introduction
	2 Literature Review
	3 Proposed Approach
	4 Results
	5 Conclusion
	References
Image Processing Techniques for PCB Board Fault Analysis with Object Extraction and Measurements
	1 Introduction
	2 Related Works
		2.1 Image Processing Application for “E-Waste” Handling
	3 Imaging Analysis
		3.1 Missing Holes Detection Using Imaging
		3.2 Open-Circuit Detection Using Imaging
		3.3 Short-Circuit Detection Using Imaging
	4 Result and Discussion
	5 Conclusion
	References
Gamification of Knowledge Management System: A Framework to Incentivize Knowledge Sharing for the Software Industry
	1 Introduction
	2 Literature Review
		2.1 Knowledge Management
		2.2 Gamification
		2.3 Gamification and Incentives in KMS
		2.4 Existing Frameworks of Applying Gamification in Knowledge Management Systems.
	3 Methodology
		3.1 Research Method
		3.2 Data Collection Technique
		3.3 Sample Size
	4 Results and Interpretation
		4.1 Outcome for Research Questions
		4.2 Proposed Framework for the Gamification of a KMS
		4.3 Evaluation of Proposed Framework
	5 Conclusion
	References
Privacy Attributes Aware Framework in Information Disclosure Models for Public During Pandemic
	1 Introduction
	2 Related Work
	3 Privacy Attributes Aware (PAA) Information Disclosure Model
	4 Experimental Results
	5 Conclusion
	References
Role of Resource Description Framework in Knowledge Discovery in World Wide Web
	1 Introduction
		1.1 Role of RDF in Semantic Web
	2 State of Current Research in Semantic Web
	3 Conceptual Model
		3.1 Application Architecture
	4 Experimental Results and Discussions
	5 Conclusion and Scope for Future Work
	References
A Comparative Analysis of Deep Learning-Based Frameworks for Face Vitality Detection
	1 Introduction
	2 Deep Learning in Face PAD Mechanism
		2.1 Deep Features-Based Face PAD Models
	3 Analysis
	4 Research Observations and Discussions
	5 Conclusions
	References
Prediction of Students Programming Performance Using Naïve Bayesian and Decision Tree
	1 Introduction
	2 Related Works
	3 Background
		3.1 Naïve Bayes
		3.2 Decision Tree
	4 Experiment and Result
		4.1 Data Collection
		4.2 Preprocessing
		4.3 Classification
		4.4 Post-processing
	5 Conclusion and Future Work
	References
The Investigation of Network Security, Including Penetrating Threats and Potential Security Measures
	1 Introduction
	2 Attack Forms
	3 Network Security Technologies
	4 Advanced Security Policies for Networks
	5 Conclusion
	References
A Review on Rice Quality Analysis
	1 Introduction
	2 Methodologies for Rice Quality Analysis
		2.1 Spectroscopic Techniques
		2.2 Hyperspectral Imaging
		2.3 Physio-chemical Properties
		2.4 Polarimetric Method
		2.5 Discussion
	3 Conclusion
	References
Hybrid MPPT-Based Efficiency Improvement of Renewable Energy System Using Step-Up Converter
	1 Introduction
	2 Modeling of PV Cell
	3 Need for MPP Tracking
	4 Proposed Hybrid MPP Algorithm
	5 Simulation Results and Discussion
	6 Conclusion
	References
A Review to Enhance Operations in an Airport with a Deep Learning and Computer Vision Approach
	1 Introduction
	2 Related Work
	3 Proposed Methodologies
		3.1 Face Recognition
		3.2 Paperless Boarding
		3.3 Correlating Luggage With Passenger
	4 Conclusion
	References
Comparative Analysis of Diabetes Prediction Using Machine Learning
	1 Introduction
	2 Related Works
		2.1 Support Vector Machine (SVM)
		2.2 Artificial Neural Network (ANN)
		2.3 Deep Neural Network (DNN)
		2.4 Convolutional Neural Network (CNN)
	3 Result and Discussion
	4 Conclusion
	References
A Review on Multiparameter Sensor Design for Biomedical SoC Applications
	1 Introduction
		1.1 Cardiovascular Disease Diagnosis Methods
		1.2 Present Wearable Devices for Cardiovascular Disease Monitoring
		1.3 Wearable Devices Comparative Analysis
	2 Biomedical Signal Processing Perspective
		2.1 Photoplethysmograph (PPG) Signal
		2.2 PPG Signal Characteristics
	3 Conclusion
	References
Towards Design of a Novel Android Malware Detection Framework Using Hybrid Deep Learning Techniques
	1 Introduction
	2 Related Works
	3 Proposed Android Malware Detection Framework Using Hybrid Deep Learning Technique
		3.1 Description of the Pre-processing Stage
		3.2 Hybrid of the Bidirectional Long Short-Term Memory (BiLSTM) and Merged Sparse Auto-Encoder (MSAE) Deep Learning Models
	4 Performance Analysis and Discussion
		4.1 Dataset Description
		4.2 Results and Discussion
	5 Conclusion
	References
A Survey: Secure Cloud Data Storage and Access Control System Using Blockchain
	1 Introduction
	2 Literature Review
	3 Blockchain Technology: Layered Architecture and Types of Network
		3.1 Blockchain Layered Architecture
		3.2 Types of Networks
	4 Access Control Mechanism for Blockchain Technology
		4.1 Role-Based Access Control
		4.2 Attribute-Based Encryption
		4.3 Ciphertext-Policy Attribute-Based Encryption
		4.4 Multi-level Security Access Control Model
		4.5 Dynamic Access Control with Cryptography Enforced
	5 Conclusion and Future Scope
	References
A Rule-Based Adaptive Mobile Application to Learn Android in a Personalized Learning Environment
	1 Introduction
	2 Literature Review
		2.1 Personalized Learning
		2.2 Inference Engine and Rete Algorithm
		2.3 Critical Appraisal of Existing Systems
	3 Proposed System
		3.1 Detailed System Architecture
		3.2 Algorithm and Logic Used
	4 Results and Interpretation
	5 Conclusion
	References
Missing Data Imputation Using Ensemble Learning Technique: A Review
	1 Introduction
	2 Imputation Techniques
		2.1 Single Variable Imputation
		2.2 Multivariable Imputation
	3 Ensemble Learning
	4 Ensemble Learning in Bioinformatics
	5 Evaluation Metrics
	6 Conclusion
	References
Forensic Analysis of Images on Online Social Network: A Survey
	1 Introduction
	2 Literature Survey
	3 Digital Image Forgery Detection Method
		3.1 Active Forensics
		3.2 Passive forensics
	4 Different Datasets that are Associated with Forgery Detection
	5 Limitations
	6 Conclusion and Discussion
	References
Survey on Heart Disease Prediction Using Machine Learning Techniques
	1 Introduction
	2 Literature Review
		2.1 Related Works
	3 Review on Proposed HD Prediction Using ML Models, Performance Metrics, and the Highest Achievements
		3.1 Review on Proposed Models
		3.2 Analysis on Performance Metrics
		3.3 Analysis on Highest Performance Achievements
	4 Evaluation on Adopted HD Prediction Using ML Models Along with Chronological Review
		4.1 Review on Datasets Used for Prediction
		4.2 Chronological Review
	5 Features Defined in HD Prediction via ML Models Along with Review of Simulation Tool
		5.1 Analysis on Extracted Features
		5.2 Review on Simulation Tool
	6 Research Gaps and Challenges
	7 Conclusion
	References
Machine Learning-Based Forecasting Technique for Crop Yield: A Study
	1 Introduction
	2 Machine Learning Algorithms: An Overview
		2.1 Single Learning Models
		2.2 Hybrid Learning Models
		2.3 Ensemble Learning Models
	3 Relevant Literature
	4 Observations
	5 Conclusion
	References
E-commerce Application with Analytics for Pharmaceutical Industry
	1 Introduction
	2 Related Work/Literature Survey
		2.1 Purpose
		2.2 Methodology
		2.3 Unsupervised Learning
		2.4 Pattern Forecast Process
	3 Conclusion
	References
Enhanced Crime and Threat Intelligence Hunter with Named Entity Recognition and Sentiment Analysis
	1 Introduction
	2 Survey of Existing Cyber Intelligence Tools
	3 Architectural Design
		3.1 Crime Type Searching
		3.2 Domain/IP Searching
		3.3 Social Media Username Searching
		3.4 Free Text Searching
		3.5 Web Crawling and Scraping
		3.6 Named Entity Recognition
		3.7 Sentiment Analysis
		3.8 Knowledge Graph Generation
	4 System Analysis and Potential Innovations
		4.1 Interfacing with Multiple Data Sources
		4.2 Scraping the Deep Web
		4.3 Training the NER Model
	5 Limitations and Further Work
		5.1 Lack of Substantial Training Dataset
		5.2 Volatility of Deep Web Links
		5.3 No Mobile Platform and Network Data Stream Support
	6 Conclusion
	References
Image Steganography for Confidential Communication and Secured Data Storing
	1 Introduction
	2 Related Work
	3 Proposed Model
	4 Text in Image Steganography
	5 Lift Haar Wavelet Transform
	6 AES Encryption
	7 Decryption
	8 Results and Discussion
	9 Conclusion
	References
Real Time Analysis of Artificial Neural Network-Based Fault Detection and Fault Location in the AC Microgrid
	1 Introduction
	2 Artificial Neural Network (ANN)
		2.1 Back Propagation Neural Network (BPNN)
	3 AC Microgrid
		3.1 Faults
	4 Methodology of Fault Analysis
	5 Real Time Analysis of Results Using OP4510 RT-LAB
	6 Simulation Results
	7 Discussion
	8 Conclusion
	References
A Brief Survey on Hyperspectral Sensor
	1 Introduction
	2 Hyperspectral Sensor Description
	3 Literature Review of Hyperspectral Sensor
	4 Conclusion and Future Work
	References
Early Prediction of Heart Anomalies Using Machine Learning
	1 Introduction
	2 Existing System
	3 Literature Survey
	4 Proposed System and Block Diagram
		4.1 Pre-processing
		4.2 Proposed System
		4.3 Algorithm
		4.4 Classification Report
	5 Implementation
	6 Experimental Results
		6.1 Dataset
	7 Conclusion and Future Work
	References
Chatbot for Hospital Management Using AI
	1 Introduction
		1.1 Background
		1.2 Technologies in AI
		1.3 Applications of AI
	2 Related Works
	3 Proposed System
		3.1 Algorithm Used
		3.2 Advantages
		3.3 Keyword Extraction
		3.4 System Requirements
	4 Results and Discussion
	5 Conclusion and Future Enhancement
	References
Adaptive Neuro-Fuzzy and PID-Based Regenerative System for E-Vehicles
	1 Introduction
	2 BLDC Motor and Its Control
	3 Control of VSI for Regenerative Mode
	4 Implementation Using ANFIS and Simulation Results
	5 Conclusion
	References
Smart Traffic Light and Dynamic Navigational System for Emergency Vehicles
	1 Introduction
	2 Literature Review
	3 Problem Statement
	4 Methodology
	5 Working Steps for Implementation of the App.
	6 Results and Discussions
	7 Conclusions
	References
A Novel Approach for Post Recovery Comorbidity Prediction Using Knowledge Graphs Approach
	1 Introduction
	2 Related Work
	3 Proposed Methodology
		3.1 Dataset Used
		3.2 Data Preprocessing
		3.3 Feature Extraction
		3.4 Algorithm
		3.5 Output
	4 Results and Discussion
	5 Conclusion
	References
Feature Validated Sentiment Recommendation of Hotel Reviews
	1 Introduction
	2 Related Works
	3 Framework
		3.1 Problem Definition
		3.2 Framework
	4 Experiments and Results
	5 Conclusion
	References
VLSI Architecture for Image Scaling in Multimedia Applications
	1 Introduction
	2 Existing Methods
	3 Proposed Algorithm
		3.1 Efficient Modified Median Buffer Interpolation
		3.2 EMBI Algorithm
	4 Performance Evaluation and Simulated Results
	5 Conclusion
	References
A Review of Swarm Intelligence-Based Feature Selection Methods and Its Application
	1 Introduction
	2 Swarm Intelligence-Based Feature Selection
		2.1 Merits of SI Algorithms
		2.2 Literature Review
	3 Particle Swarm Optimization (PSO) Methods
		3.1 Pseudocode
	4 Ant Colony Optimization
	5 Whale Optimization Algorithm
		5.1 Pseudocode
	6 Grey Wolf Optimization Algorithm
		6.1 Pseudocode
	7 Comparison
	8 Feature Selection
		8.1 Methodology Workflow of Feature Selection
	9 Open-Source Software for Optimization Algorithm We Can Develop Framework in MATLAB and Python
	10 Discussion
	11 Conclusion
	References
Using AI to Manage Project Deadlines—Case Study of a Global Human Capital Management (HCM) Software Company
	1 Introduction
		1.1 Problem Statement
		1.2 Research Questions
		1.3 Research Aim
		1.4 Research Objectives
		1.5 Scope of the Study
	2 Literature Review
		2.1 Artificial Intelligence (AI) in Project Management
		2.2 Importance of Meeting a Project Deadline
		2.3 Systematic Literature Review
		2.4 Research Questions
		2.5 Search Strings and Selected Papers for SLR
	3 Research Design and Methodology
		3.1 Research Design
		3.2 Research Choice
		3.3 Research Approach
		3.4 Targeted Population
		3.5 Data Collection—Part 1
	4 Analysis and Discussions
	5 Proposed AI Framework
	6 Evaluation of Proposed Framework
		6.1 Final Proposition of Framework
	7 Conclusion
	References
Survey on Energy Efficiency Routing Protocols in Wireless Sensor Networks
	1 Introduction
	2 Review of Literature
		2.1 Energy-Aware Distributed Aggregation Tree (EADAT)
		2.2 Objectives
	3 Energy-Efficient Protocol for WSN
	4 Research Gap and Future Scope
	5 Results and Discussion
		5.1 FEESR Comparative Performance Analysis w.r.t LEACH
	6 Conclusion
	References
Effective Heart Disease Prediction Using Machine Learning—Modified KNN
	1 Introduction
	2 Literature Review
	3 Proposed System
		3.1 UCI Dataset
		3.2 Pre-processing of Data
		3.3 Feature Selection
		3.4 Classification
		3.5 Performance Measures
	4 Results
	5 Conclusion
	6 Future Work
	References
Cloud Silent Attack Strategies Analysis Alongside Proposed Generic Modelling
	1 Introduction
	2 Background and Profound Basis
		2.1 Stealth Attack Scenarios
	3 Analysis and Evaluations
	4 A Hypothetical Generic Mathematical Modelling
	5 Conclusion and Future Work
	References
Methods of Application Control in Cloud Computing Systems
	1 Introduction
	2 Methods
	3 Conclusion
	References
An Efficient Quick Response and Data Access with an Effective Realizing Physiological Diagnosis System in Smart Clinic Environment
	1 Introduction
	2 Related Works
	3 System Design
		3.1 Block Diagram
		3.2 QR Patient Labeling
		3.3 Well-Being Monitoring
		3.4 Ecological Monitoring
		3.5 Notice Generation System
		3.6 IoT Web Visualization
		3.7 Information Security
	4 Results and Discussion
	5 Conclusion
	References
Supervised Home Loan and Top-up Home Loan Risk Optimization Using Neuro-Fuzzy Model
	1 Introduction
	2 Literature Review
	3 Artificial Neural Network (ANN)
	4 Proposed Supervised Neuro-Fuzzy Model
		4.1 Fuzzy Conceptualization
	5 Results and Discussion
	6 Conclusion and Future Work
	References
IoT-Based Smart Door System to Prevent COVID-19 Virus
	1 Introduction
	2 Related Work
	3 Proposed Work
		3.1 Problem Identification and Solution
		3.2 Prototype Description
		3.3 Cayenne IoT Platform
	4 Result and Discussion
	5 Conclusion
	References
An ECG Signal Encryption and Classification Utilizing Advanced Encryption Standard and Support Vector Machine
	1 Introduction
	2 Literature Survey
		2.1 Related Works
		2.2 Research Statement
	3 ECG signal Encryption and Decryption Utilizing Advanced Encryption Standard and Chaotic Logistic Mapping
		3.1 Proposed Model
		3.2 Advanced Encryption Standard
		3.3 Chaotic Logistic Mapping
	4 Feature Extraction and Classification of ECG Signal Employing Convolutional Neural Network and Support Vector Machine
		4.1 CNN
		4.2 SVM
	5 Results
		5.1 Experimental Setup
		5.2 RMSE Analysis
		5.3 SSIM Analysis
		5.4 PSNR Analysis
	6 Conclusion
	References
Effect of Small Dataset Quality on Deep Neural Network Performance for Lyme Disease Classification
	1 Introduction
	2 Background and Related Works
	3 Methodology
		3.1 Dataset
		3.2 Models
		3.3 Workflow
	4 Results
		4.1 Results of K-Fold Cross-validation
		4.2 Results of Full Dataset Training and Testing
	5 Discussion and Conclusions
	References
Secure Image Steganography Approach for Hiding Compressed Data
	1 Introduction
	2 Related Work
	3 Proposed Method
		3.1 Compression Process
		3.2 The Embedding Process
		3.3 Extracting Process
	4 Experimental Results and Analysis
		4.1 Perceptual Quality Assessment
		4.2 Stego-Image Quality
		4.3 Capacity
		4.4 Security
		4.5  Execution Speed
	5 Conclusion and Future Work
	References
Implementation of Personalized Medicine by Artificial Intelligence Platform
	1 Introduction
	2 Background and Related Works
	3 Methodology
		3.1 Data Preparation and Integration (Big Data)
		3.2 Development of an Automated System for Collecting and Pre-processing Medical Data Using AI (AI assistant)
		3.3 Development of AI Methods for Data Analysis, Early Disease Stage Screening, and Feature Detection of the Most Dangerous and Severe Diseases (MLOpsHealth)
		3.4 Research of AI Components in the Conditions of Clinical Practice
		3.5 Integration of AI Components Within a Proactive AI-Based Platform (AI Platform—AIP)
		3.6 Harmonization of the AIP with Current Norms and Practices
	4 Research Setup
		4.1 AI-Based Platform (AIP)
		4.2 KATY Project
	5 Discussion and Conclusions
	References
Comparative Analysis of Machine Learning Approaches of Prediction  of Diabetes Consequences in Pregnancy with Implications of Data Matrices
	1 Introduction
		1.1 Gestational Diabetes
		1.2 Type 1 Diabetes
		1.3 Type 2 Diabetes
		1.4 Other Types of Diabetes
	2  Related Work
	3 Compartive Analysis of Diabetic and Non-diabetic
	4 Compartive Analysis of Various Machine Learning-Based Approaches for Classification  and Identification of Diabetic Issues
	5 Prediction of Diabetic Consequences in Pregnancy Women by Machine Learning-Based Attributes  and Data Matrices
		5.1 Supporting Attributes and Data Matrices
		5.2 Machine Learning-Based Techniques for Prediction  of Diabetes
		5.3 Light GBM-Discrimination Threshold
	6 Experiment Analysis and Results
		6.1 Comparative Analysis of Proposed Approach with Existing Machine Learning-Based Approaches
	7 Conclusion
	References
An Improved Blood Glucose Measurement Using Near-Infrared Light
	1 Introduction
	2 Methodology
		2.1 Device Diagram
		2.2 Experiments
	3 Results and Discussion
	4 Conclusion
	References
Computing Technologies for Assessing the Quality of Roads
	1 Introduction
	2 The Problem of Obtaining Information and Data Processing
		2.1 In This Part of the Paper, We Will Focus on the Formulation and Methods for Solving the Problem of Thickness Measurement by Analyzing the Amplitudes and Time Delay of Signals from Two Pulsed GPRs
		2.2 The Use of a Specialized Antenna Unit of the Georadar “Trf-1” for Monitoring the Current State of Roads
	3 Conclusion
	References
Detection of Fake News Using Clustering Algorithms
	1 Introduction
	2 Literature Survey
	3 Proposed System Architecture
	4 Algorithm
	5 Experimental Results and Discussions
		5.1 Data Sets
		5.2 Accuracy
		5.3 Precision
		5.4 Recall
		5.5 F-Score
	6 Conclusion
	References
A Survey on Text Description to Image Generation Using GAN
	1 Introduction
	2 Fundamentals Works in Text Description to Images
		2.1 Generative Adversarial Network (GAN)
		2.2 Conditional GANs
		2.3 Encoding Text
		2.4 Datasets
	3 Best Performance Methods with Architectures
		3.1 T2I Method
		3.2 Stacked GAN Architecture
		3.3 Attention Mechanisms
	4 Evaluation Metrics
	5 Conclusion
	References
Air Pollution Monitoring and Prediction Using Deep Learning
	1 Introduction
	2 Literature Review
	3 Data Analysis
	4 Model Used
		4.1 Vanilla LSTM
		4.2 Stacked LSTM
		4.3 Bidirectional LSTM
		4.4 CNN LSTM
	5 Methodology
	6 Converting Time Series to Supervised
	7 Results
		7.1 Univariate Models
		7.2 Multivariate Models
	8 Conclusion
	References
Multilayered Architecture for Secure Communication and Transmission for Internet of Things
	1 Introduction
	2 IoT Multilayered Architecture
	3 Literature Review
	4 Conclusions
	References
Predictıng the Loan Using Machine Learning
	1 Introduction
	2 Proposed System
		2.1 Dataset
		2.2 Training Data and Testing Data
		2.3 Logistic Regression
		2.4 Sigmoid Function
	3 Literature Survey
	4 Results
	5 Conclusion
	References
Cotton Yield Prediction Based on Fertilizers and a Land Using Machine Learning
	1 Introduction
	2 Literature Survey
	3 Proposed System
	4 Results and Discussions
	5 Conclusion
	References
Classification of DNA Sequence Using Machine Learning
	1 Introduction
	2 Related Work
	3 Proposed System
	4 Results and Discussion
		4.1 Datasets
		4.2 Accuracy
		4.3 Sensitivity and Specificity
	5 Conclusion
	References
Stock Prediction System Using an Integrated Fine Tune Stacked and Ensembled Activation LSTM Network
	1 Introduction
	2 Literature Survey
	3 Proposed Methodology
	4 Results and Discussion
	5 Conclusion
	References
Diagnosis of Skin Cancer with Its Stages Using Multiclass CNN Technique
	1 Introduction
	2 Background
	3 Related Works
	4 Proposed Methodology
		4.1 Flow Diagram
		4.2 Details of Algorithms and Tools Used
		4.3 Dataset
		4.4 Feature-Based Extraction
	5 Algorithm for Classification Process
		5.1 Convolution Neural Network Classification
	6 Experimental Results
	7 Conclusion
	References
Success and Failure Factors Affecting Software Development Projects from IT Professionals’ Perspective
	1 Introduction
	2 Literature Review
		2.1 Study Based on Success and Failure of Software Development Projects
	3 Methodology
		3.1 Research Objectives
		3.2 Research Design
		3.3 Sampling Method to Be Used
	4 Results and Discussions
		4.1 Correlation Analysis
		4.2 Findings on Success Factors
		4.3 Findings on Failure Factors
	5 Recommendations
	6 Conclusion
	References
Author Index