Hybrid Intelligent Systems: 21st International Conference on Hybrid Intelligent Systems (HIS 2021), December 14–16, 2021 (Lecture Notes in Networks and Systems, 420)

This book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 45 selected papers from the 20th International Conference on Hybrid Intelligent Systems (HIS 2021) and 16 papers from the 17th International Conference on Information Assurance and Security, which was held online, from December 14 to 16, 2021. A premier conference in the field of artificial intelligence and machine learning applications, HIS-IAS 2021 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from over 20 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of computer science and engineering. Preface HIS-IAS Organizing Committee General Chairs Program Chairs Publication Chairs Special Session Chair Publicity Chairs International Publicity Team Program Committee Contents Hybrid Intelligent Systems YOLOv5 Based Deep Convolutional Neural Networks for Vehicle Recognition in Smart University Campus 1 Introduction 2 Related Works 3 The Proposed Solution 3.1 Convolutional Neural Networks (CNNs) 3.2 YOLOv5 4 Implementation and Results 4.1 Implementation 4.2 Results 5 Conclusions References Analysis of Twitter User’s Sentiment Against COVID-19 Vaccination Using the Lexicon Based Method 1 Introduction 2 Literature Review 2.1 Previous Research 2.2 Sentiment Analysis 2.3 Twitter 2.4 Lexicon-Based 2.5 Vaccination 3 Research Methodology 4 Result 4.1 Collecting Data 4.2 Pre-processing 4.3 Use of Lexicon Based Algorithms or Methods 4.4 Result 5 Conclusion References Dual Connectivity Handoff Analysis for ENDC C/U-Plane Split NSA NR5G Networks 1 Introduction 2 NSA System Architecture 2.1 Types of HOs 3 Performance Analysis 3.1 UPHO 3.2 CPHO 4 Simulation Results and Discussion 5 Conclusion References: Blockchain Integrated Machine Learning for Training Autonomous Cars 1 Introduction 2 Literature Survey 3 Existing Solutions 4 Proposed System 5 Implementation 6 Future Work/Open Challenges for Future 7 Conclusion References Privacy Preservation Technique Based on Sensitivity Levels for Multiple Numerical Sensitive Overlapped Attributes 1 Introduction 2 Literature Review 2.1 Overview on Privacy Preserving Data Publishing 2.2 K-Anonymity: Needs and Methods 2.3 L-Diversity 2.4 Multiple Sensitive Attributes 2.5 Proximity Breach 2.6 Overlapped Attributes 3 Proposed Model K-MNSSOA: Privacy Preservation Technique in the Presence of Multiple Numerical Sensitive Overlapped Attributes 3.1 Algorithm:K-MNSSOA: Privacy Preservation Technique in the Presence of Multiple Numerical Sensitive Overlapped Attributes 4 Conclusion References Feature Ranking Based Carrot Disease Recognition Using MIFS Method 1 Introduction 2 Related Works 3 Proposed System Architecture 4 Research Methodology 4.1 Features Extraction from the Collected Image Data 4.2 Carrot Disease Recognition Using ML Model 5 Result Analysis and Discussion 6 Conclusion References Designing Knowledge-Based Systems for COVID-19 Diagnosis 1 Introduction 2 COVID-19 Diagnosis Expert System Based Applications 2.1 Risk Diagnosis and Mitigation System of COVID-19 Using Expert System and Web Scraping (2020) 2.2 Expert System for COVID-19 Diagnosis (2020) 2.3 Symptoms-Based Fuzzy-Logic Approach for COVID-19 Diagnosis (2021) 2.4 Expert System for Corona Diagnosis (ESCD) (2021) 2.5 A Knowledge-Based Self-pre-diagnosis System to Predict Covid-19 In smartphone Users Using Personal Data and Observed Symptoms (2021) 3 Results 4 Conclusion References An Optimized Data Replication Algorithm in Mobile Edge Computing Systems to Reduce Latency in Internet of Things 1 Introduction 2 Related Works 3 Methodology 3.1 Simulated Annealing (SA) Algorithm 3.2 Proposed Flower Pollination Replication Algorithm 4 Results and Discussion 5 Conclusion References Prediction of Malnutrition Among Pregnant Women and Infants in Tribal Areas of Tamil Nadu Using Classification Algorithms 1 Introduction 2 Literature Review 3 Results and Discussions 4 Discussions 5 Conclusion and Future Work References Spam Filtering of Mobile SMS Using CNN–LSTM Based Deep Learning Model 1 Introduction 2 Related Works 3 Proposed Methodology 3.1 Pre–processing Methods for Structuring Text 3.2 Convert SMS into Numeric Values for Input 3.3 Detection Models for Spam SMS 4 Results and Analysis 4.1 Description of SMS dataset 4.2 Performances of Various Detection Models 4.3 Parameter Calculation Using CNN–LSTM 4.4 Hyper–Parameters of our CNN–LSTM Model 4.5 Performance Visualization of CNN–LSTM Model Using ROC Curve and Confusion Matrix 5 Conclusion References A Convenient Method and Design for Constructing an IoT-Based Smart Automated Sanitization System 1 Introduction 2 Literature Review 3 Methodology and Modeling 4 Working Procedure 4.1 Automated Process, Remote Access and via Voice Command Access 4.2 Disinfector Machine 4.3 Automated Disinfector Door and Mechanism 4.4 Disinfectants/Antiseptic Liquid Solutions 5 Software-based Simulated Implementation of the Designed Prototype 6 Simulation Result and Data Analysis 6.1 On Load Condition 6.2 Power Backup Condition 7 Future Developments 8 Applications 9 Conclusion References Combating Depression Through the Neural Analysis of Web Behavior 1 Introduction 2 Related Work 3 Methodology 3.1 Baseline Model 3.2 The Proposed Model 4 Experimental Results 4.1 Dataset 4.2 Performance Metrics 4.3 Results and Discussion 5 Conclusion, Limitations, and Future Scope References Faster R-CNN with Augmentation for Efficient Cotton Leaf Disease Detection 1 Introduction 2 Literature Review 3 AFR-CNN – The Proposed Methodology 3.1 Image Acquisition 3.2 Image Augmentation 3.3 Image Pre-processing 3.4 Image Segmentation 3.5 Feature Extraction 3.6 Faster Region-Based Convolutional Neural Network 4 Results and Discussion 5 Conclusion References Bitcoin Value Prediction 1 Introduction 1.1 Need for Predicting Bitcoin Value 2 Learning Algorithms 2.1 Linear Regression 2.2 Deep Learning Models 3 Design of Application - Docker 4 Results and Discussions 5 Conclusion References Automatic Algorithm Multi-Configuration Applied to an Optimization Algorithm 1 Introduction 2 A Multi-Configuration Model 3 Permutation Flowshop Scheduling Problem 4 Multi-configuration ILS 5 Experimental Protocol 6 Experimental Results 7 Conclusion and Perspectives References Credit Card Fraud Detection Using Machine Learning and Predictive Models: A Comparative Study 1 Introduction 2 Literature Review 3 Experimental Setup 3.1 Datasets 3.2 Algorithms 4 Results and Performance Calculation 4.1 Results 4.2 Comparative Study 5 Conclusion References An Intelligent and Efficient Safe Driving System 1 Introduction 2 Construction of the Foundations for a Global Cooperative ADAS 2.1 General Structure of Road Traffic Control 2.2 Architecture of Our Proposed System 2.3 Architecture of a Smart Vehicle 3 Performance Evaluation of CoopSafeDrivSyst 3.1 Simulation Environment 3.2 Simulation Parameters 3.3 The Proposed ADAS for Collision Prevention Simulation Results 4 Conclusion References Comparison of Image Pre-processing for Classifying Diabetic Retinopathy Using Convolutional Neural Networks 1 Introduction 2 Basic Concepts 2.1 Convolutional Neural Networks 3 Proposed Methods 3.1 Convolutional Neural Networks Models 3.2 APTOS 2019 Database 3.3 Pre-processing 4 Experimental Results 4.1 Binary Case 4.2 Multi-class Case 4.3 Comparison of Results 5 Conclusions References RAMP for the Capacitated Single Allocation p-Hub Location Problem 1 Introduction 2 Related Work 3 RAMP Algorithm for the CSApHLP 4 Computational Results 5 Conclusions References Predicting Stock Market Movement Employing Data Filtration and Gradient Boost Algorithm 1 Introduction 2 Related Work 3 Data Handling 4 Training Algorithm 5 Results and Discussions 6 Conclusion References SailFish Optimizer Algorithm to Solve the Traveling Salesman Problem 1 Introduction 2 Traveling Salesman Problem 3 The Sailfish Optimizer Algorithm 4 Adapted SFO to Solve TSP 5 Result 6 Performance Comparison 7 Conclusion References Convolutional Neural Network Design Using a Particle Swarm Optimization for Face Recognition 1 Introduction 2 Basic Concepts 2.1 Convolutional Neural Networks 2.2 Particle Swarm Optimization 3 Proposed Method 3.1 PSO Description 3.2 Databases 4 Experimental Results 4.1 ORL Database Results 4.2 Yale Database Results 4.3 Comparison of Results 5 Conclusions References Machine Learning-Based Precipitation Prediction Using Cloud Properties 1 Introduction 2 Literature Review 3 Materials and Method 3.1 Study Areas’ Descriptions 3.2 Data Acquisition and Processing 4 Results and Discussion 5 Conclusion References Performance Analysis of the New Filtering Algorithm with Kalman on Indoor Positioning System 1 Introduction 2 Related Works 3 Proposed Method 3.1 Training 3.2 Testing 4 Experiment and Analysis 4.1 Accuracy 4.2 Performance 5 Conclusion References Credit Card Fraud Detection Using K-Means Combined with Supervised Learning 1 Introduction 2 Literature Survey 3 Motivation 4 Proposed Framework 5 Credit Card Fraud Detection Approach 5.1 Data Description 5.2 Feature Selection 5.3 Baseline Classification Models 5.4 Clustering and Classification Approach 5.5 Performance Metrics 6 Experimental Results 6.1 Feature Selection in Credit Card Fraud Detection 6.2 Proposed Approach 6.3 Evaluation of Proposed Approach 7 Conclusion and Future Work References Speech Enhancement Using Generative Adversarial Network (GAN) 1 Introduction 2 Related Work 3 Generative Adversarial Network (GAN) 4 Experimental Results 4.1 Data Setup 4.2 Setup of Speech Enhancement Using Generative Adversarial Network (GAN) 4.3 Experiment 5 Conclusion References Sentiment Analysis of IMDb Movie Reviews: A Comparative Analysis of Feature Selection and Feature Extraction Techniques 1 Introduction 2 Related Work 3 Proposed Framework 3.1 Pre-Processing 3.2 Feature Extraction 3.3 Feature Selection 3.4 Classification 4 Experimental Setup 4.1 Dataset 4.2 Obtaining the Feature Vectors 4.3 Reduce Dimensionality of Text Corpus Through Feature Selection 4.4 Classification Algorithms 5 Experiments Result 6 Conclusion References Implementing an Arabic Question Answering System Using Conceptual Graphs 1 Introduction 2 Related Works 3 Proposed Approach 3.1 Text Analysis 3.2 Terms Extraction 3.3 Concepts Extraction 3.4 Pattern Extraction 3.5 Conceptual Graph Generation 4 Experimental Evaluation 5 Conclusion References AutIS: Artificial Intelligent Based Automated Interviewing System 1 Introduction 2 Related Works 3 Proposed Methods and Discipline 4 Experimental Setup 5 Conclusion References The Pandemic Impact on Organizations Security and Resiliency: The Workflow Satisfiability Problem 1 Introduction 2 Pandemic, Organization's Security, and Workflow Satisfiability Problem 3 Related Works 4 Our Proposed Approach to Override the WSP 5 Conclusion and Future Work References An Ensemble Approach for Predicting Intraocular Diseases Using Immune Mediator Levels 1 Introduction 2 Literature Survey 3 Proposed System 4 Experimental Results and Analysis 4.1 Performance Analysis 5 Conclusion References Progressive Guidance Categorization Using Transformer-Based Deep Neural Network Architecture 1 Introduction 2 Literature Review 3 Methodology 3.1 Transformer-based learning: 3.2 Bidirectional Encoder Representations from Transformers (BERT): 3.3 Proposed Framework 4 Experiments and Results 4.1 Experimental Setup 4.2 Data Collection 4.3 Data Prepossessing 4.4 Experimental Evolution 5 Conclusion References Applications of Fuzzy Logic in Assessment of Groundwater Quality Index from Jafrabad Taluka of Marathawada Region of Maharashtra State: A GIS Based Approach 1 Introduction 2 Material 2.1 Study Area 2.2 Geomorphology 2.3 Climate and Rainfall 3 Methodology 3.1 Water Quality Index (WQI) 3.2 Fuzzy Expert Approach 3.3 Fuzzy Set and Membership Functions 4 Experimental Results 4.1 Water Quality for Domestic Drinking Purpose 4.2 Water Quality for Irrigations References Topic Oriented Hate Speech Detection 1 Introduction 2 Related Works 3 Preliminary and Problem Definition 4 Proposed Framework 4.1 Data Pre-processing for Topic Detection 4.2 Topic Detection from Social Stream 4.3 Features Extraction 5 Experiment and Result 5.1 Experimental Datasets 5.2 Training Model 6 Conclusion References Alzheimer's Disease Detection Using Deep ECA-ResNet101 Network with DCGAN 1 Introduction 2 Related Works 3 Material and Method 3.1 Data Augmentation Using DCGAN 3.2 Efficient Residual Attention Network (ECA-ResNet) for Alzheimer's Detection 3.3 Data Selection and Preparation 4 Results and Discussion References Automatic Microservices Identification Across Structural Dependency 1 Introduction 2 Background 3 Related Work 4 Overview of the Approach 4.1 Running example 4.2 The Main Steps of Our Approach 5 Control Dependency 6 Implementation 7 Conclusion References Managing the Conditions for Project Success: An Approach Using k-means Clustering 1 Introduction 2 Methodology 2.1 Construction of the Data Collection Instrument 2.2 Data Collection 3 Setting the Model 3.1 Basic Analysis 3.2 Clustering Using k-Means 4 Conclusion References Intrusion Detection System Based on Machine and Deep Learning Models: A Comparative and Exhaustive Study 1 Introduction 2 Related Work 3 Proposed Framework 4 Experimental Setup 4.1 IDS Datasets 4.2 Data Preprocessing 4.3 Architecture of Different IDS Classification Models 4.4 Evaluation Metrics 5 Experimental Results 5.1 Performance of Various IDS Based on Accuracy 5.2 Performance of Various IDS Models on Specific Attacks 6 Conclusion References FaMaDAS: Face Mask Detection and Alert System for COVID 19 Outbreaks 1 Introduction 2 Related Study 3 Proposed System 3.1 Methodology 3.2 Proposed Algorithm 4 Result Discussion 4.1 Training Accuracy 4.2 Training Loss 4.3 Validation Accuracy 4.4 Validation Loss 5 Conclusion and Future Work References An Advanced Deep Learning Approach for Nickel Price Prediction Model Evading Outliers Using Enhanced Multikernel LSTM 1 Introduction 2 Literature Survey 3 Proposed Methodology 4 Experimental Results 5 Evaluation Parameters 6 Conclusion References A Multiple Fuzzy C-Means Ensemble Cluster Forest for Big Data 1 Introduction 2 Related Works 2.1 Data Reduction Approaches 2.2 Cluster Forests (CF) 3 Motivation and Contribution 3.1 Making Many Clusters Instances 3.2 Aggregation of Clusters Instances 4 Experiments and Analyses 4.1 Testing Big DataSets 4.2 Model Evaluation 4.3 Experimental Step 4.4 Running Time Comparison 4.5 Compared Methods with Other Algorithms 5 Conclusion and Future Directions References A Real-Time Sentimental Analysis on E-Commerce Sites in Nigeria Using Machine Learning 1 Introduction 2 Methodology 2.1 Data Collection 2.2 Data Preprocessing 2.3 Training 2.4 Recommendation System 3 Results and Discussion 3.1 Dataset Result 4 Sentiment Result 5 Conclusion References Artificial Intelligence Based System for Bank Loan Fraud Prediction 1 Introduction 2 Related Work 3 Material and Method 4 Results and Discussion 5 Conclusion References Comparing the Performance of Various Supervised Machine Learning Techniques for Early Detection of Breast Cancer 1 Introduction 2 Review of Related Literature 3 Methodology 4 Implementation and Discussion 4.1 Development Tools 4.2 Import Libraries 4.3 Import Dataset 4.4 Training the Model 4.5 Algorithm Accuracy 5 Conclusion References Psychotherapeutic Tool for Addressing Depression in Teenagers Through Video Games 1 Introduction 2 Literature Review 3 Materials and Method 3.1 Algorithm of the Game Process 4 Implementation and Results 5 Conclusion References Information Assurance and Security Teaching Encryption Algorithms with Serious Games 1 Introduction 2 Problem Statement 3 Literature Review 3.1 Cryptology Algorithms 3.2 Current State Serious Games and Algorithms 3.3 Research Gap 4 Research Method 5 Suggestion of Tentative Design 5.1 Elements and Criteria of a Serious Game for Teaching Algorithms 5.2 Evaluation of a Suitable Existing Game 5.3 Selected Game 6 Development and Description of Artefact 7 Evaluation Results 8 Conclusions References Partial Least Squares Algorithm for Deciding on Buying Innisfree Cosmetics: Evidence from Vietnam 1 Introduction 2 Research Hypotheses 2.1 Product Price (PP) 2.2 Product Quality (PQ) 2.3 Reference Group (RG) 2.4 Trademark (TM) 2.5 Promotion (PR) 2.6 Product Availability (PA) 3 Method 4 Results 4.1 Measurement Model 4.2 Reliability and Validity 4.3 Hypothesis Testing 5 Conclusions 5.1 Implications for Trademark 5.2 Implications for Product Availability 5.3 Implications for Product Price 5.4 Lımıtatıons and Further Research References Blockchain: A Compendium on Contemporary Privacy Preservation Approaches and Its Manifestation in Varied Realms 1 Background 2 Privacy Threats and Preservation Mechanisms 2.1 Privacy Threat Classification 2.2 Privacy Preserving Approaches in Use 3 Blockchain-Based Privacy-Preserving Research Proposals 4 Conclusion References Detecting Vulnerabilities Using Open-Source Intelligence 1 Introduction 2 Problem Statement 3 Objectives 4 Ethical Issues 5 Literature Survey 6 OSILIZER 6.1 Introduction 6.2 Why OSILIZER 6.3 User Interface of OSLIZER 6.4 Workflow of OSILIZER 6.5 Output Results 7 Conclusion and Future Scope References Shift-Sub Modular Multiplication Algorithm and Hardware Implementation for RSA Cryptography 1 Introduction 2 Montgomery Modular Algorithms 2.1 Montgomery Modular Reduction Algorithm 2.2 Montgomery Modular Multiplication Algorithm 3 Shift-Sub Modular Multiplication Algorithm 4 Cost/Performance Comparisons 5 Concluding Remarks References Lightweight Cryptography for Resource Constrained Devices 1 Introduction 2 Literature Survey 3 Technical Background 3.1 Non-linear Functions f(x) and WD16(x, a, b, c, d) 3.2 Initialization Process 3.3 Encryption Process 4 Proposed Architecture 5 Algorithm and Data Set 6 Implementation and Results 7 Conclusion References Privacy Preserving Data Mining Technique to Secure Distributed Client Data 1 Introduction 1.1 Privacy Preserving 1.2 Privacy-Preserving Data Mining 1.3 Distributed Privacy-Preserving Data Mining 2 Related Study 3 Proposed System 3.1 Objectives 3.2 Methodology 3.3 Dataset 3.4 Proposed Algorithm 4 Result Analysis 4.1 Accuracy 4.2 Error Rate 4.3 Memory Consumption 4.4 Time Consumption 5 Conclusion References Tampering Localization Using Divergence in First Digit Probability Distribution 1 Introduction 2 FDPD of Double Compressed Images 3 Impact of Gaussian Noise on Compressed Images 4 Proposed Approach 5 Experimental Evaluation 5.1 UCID Database 5.2 Columbia Spliced Database 6 Conclusion and Future Reference References Impact of Optimizers on a CNN Architecture for Anti-spoofing Goal 1 Introduction 2 Related Work 3 Methodology 3.1 Datasets 3.2 CNN Structure 4 Results and Discussions 5 Conclusion References Big Data: Towards a Collaborative Security System at the Service of Data Quality 1 Introduction 2 Related Works 2.1 Big Data in IoT Ecosystems 2.2 Access Control 2.3 DTMAC (Dynamic TeaM Access Control) 2.4 Cross-Domaine Based on Role Mapping 2.5 PolyOrBAC (Poly-organizations Based Access Control) 3 Security at the Service of Quality Management 4 Case Study 5 Conclusion References Survey on Analyzing Tongue Images to Predict the Organ Affected 1 Introduction 2 Objective 3 Expected Outcome 4 Literature Survey 4.1 Convolutional Neural Network 4.2 Support Vector Machine 4.3 Artificial Neural Network 4.4 Gaussian Naive Bayes 4.5 Others 5 Prediction of Organ Affected by Analyzing Tongue Images Using Machine Learning and CNN 6 Attributes 7 Classification Techniques 7.1 Classification Techniques Observations 8 Conclusion References Non-invertible Cancellable Template for Fingerprint Biometric 1 Introduction 2 Related Work 3 Methodology 3.1 Minutiae Extraction 3.2 Construction of Polygon 3.3 Projection on to 4D Space and Generation of Bitstring 3.4 Feature Transformation 3.5 Matching 4 Experimental Analysis 4.1 Security Analsis 5 Conclusions References Smart Contract Based Next-Generation Public Key Infrastructure (PKI) Using Permissionless Blockchain 1 Introduction 1.1 Motivation 1.2 Overview of Blockchain Technology and Ethereum 1.3 Organization of Paper 1.4 Our Contributions 2 Preliminaries of the Proposed System 2.1 Reasons for Choosing Smart Contract for Decentralized PKI: 2.2 Deploying Smart Contracts: 2.3 The Sequence of Steps for Creating Ethereum Test Blockchain Environment: 3 Proposed System 3.1 Objectives of the Proposed System: 3.2 Detailed Description of Proposed Solution 4 Implementation 4.1 Web Server (pki-web.go) 4.2 REST API for Blockchain PKI (pki-rest.go): 5 Conclusion References Protection Guidelines for Blockchain Based Digital Identity 1 Introduction 1.1 Our Methodology 2 Protection from Client User Interface Attacks 2.1 Malware and Trojan Attacks 2.2 Credential Stuffing 2.3 Password Spraying 3 Protection from API Attacks or DApp Attacks 3.1 Cryptojacking 3.2 Stealing Clicks 3.3 Phishing Campaigns 4 Protection from Network Attacks 4.1 Network Based Attacks 4.2 Man-in-the-Middle Attack 5 Protection from Blockchain Exploits and Attacks 5.1 51% Attack 5.2 Insider Attacks References Improved Interpolation-Based Reversible Audio Data Hiding Using Sample Dispersion and Value Shifting 1 Introduction 2 Related Works 3 Proposed Method 3.1 Embedding Process 3.2 Extraction Process 4 Experimental Result and Analysis 4.1 Genre Effects 4.2 Stego-Audio Quality Evaluation 5 Conclusion References Role of Blockchain in the Healthcare Sector: Challenges, Opportunities and Its Uses in Covid-19 Pandemic 1 Introduction 2 Research Questions and Objectives 3 Research Design 4 Blockchain Technology (BCT) An Overview 5 Challenges and Opportunities in the Healthcare Sector 6 Blockchain: Uses/Applications in Healthcare 7 Blockchain: Fight Against Covid-19 in Healthcare 7.1 Companies in BC Based Healthcare 7.2 Blockchain: Future in Healthcare 8 Conclusion and Recommendation References Author Index