Computational Intelligence, Cyber Security and Computational Models. Recent Trends in Computational Models, Intelligent and Secure Systems: 5th International Conference, ICC3 2021, Coimbatore, India, December 16–18, 2021, Revised Selected Papers

Description

This book constitutes the proceedings of the 5th International Conference, ICC3 2021, held in Coimbatore, India, during December 16–18, 2021.  The 14 full papers included in this book were carefully reviewed and selected from 84 submissions. They were organized in topical sections as follows: computational intelligence; cyber security; and computational models. Preface Organization Contents Computational Intelligence Iris Recognition Using Symmetric Graph Structure Based Pattern Matching 1 Introduction 2 Literature Survey 3 Proposed Iris Recognition Methodology Using Multi Variant Symmetric Ternary Local Pattern (MVSTLP) 3.1 Problem Formulation 3.2 Proposed Methodology – Multi Variant Symmetric Ternary Local Pattern (MVSTLP) 3.3 Steps of MVSTLP Based Iris Recognition Process 4 Experimental Evaluation 4.1 Results on Iris Images (Normal Type) 4.2 Results on Iris Images (Noisy Type) 5 Conclusion References Program Architecture for Structural Health Monitoring of Pamban Bridge 1 Introduction 2 History of Structural Health Monitoring (SHM) 3 Literature Survey 4 The Proposed Structural Health Monitoring System 5 Data Retrieval from Sensors 5.1 Data Storage in the Proposed SHM Using Cloud 5.2 Microsoft Identity Platform and Graph API 5.3 Scopes and Permissions 5.4 Security Tokens Used in OAuth 2.0 and OIDC 5.5 OAuth 2.0 Authorization Protocol 6 Automation 7 Conclusions and Future Work References Masking Based De Trop Noise Exclusion and Image Inpainting Instance Restoration 1 Introduction 2 Literature Review 3 Proposed Methodology 3.1 Dataset Description 3.2 Vintage Boosting 3.3 Gray Contrast Stretching 3.4 Filtering 3.5 Mask Creation 3.6 DeTrop Noise Exclusion Using Inpanting 4 Results and Discussion 4.1 Performances Metrics 4.2 Performance Analysis of DeTrop Noise Exclusion Using Inpainting 4.3 Quantitative Analysis 5 Conclusion References Extending Machine Learning Techniques Using Multi-level Approach to Detect and Classify Anomalies in a Network on UNSW-NB15 dataset 1 Introduction 2 Dataset 3 Proposed Architecture/Methodology 3.1 Two Level System 3.2 Level 1 - Sub-Leveling/Merging ML Models 3.3 Constructing Model 1 3.4 Optimization on Model 1 (Model 2) 4 Evaluation Results for Proposed Models 5 Comparative Study 6 Conclusion References Evaluation and Recommendation of Fertility Hospitals Through Multi Criteria Decision Making and Rank Correlation 1 Introduction 2 Related Work 3 Proposed Work 3.1 System Overview 3.2 MCDM Methods 3.3 Design and Deployment 4 Results and Analysis 5 Conclusion References Up-Link/Down-Link Availability Calculation in Cloud Using Ford Fulkerson Algorithm 1 Introduction 1.1 Cloud Computing 1.2 Cloud Providers 1.3 Cloud Customers 1.4 Cloud Services 1.5 Availability 1.6 Routing Information Protocol 1.7 Open Shortest Path First (OSPF) 2 Availability Calculation 2.1 Availability Calculation in Internet 2.2 Need for Availability Calculation 2.3 Existing Methods 3 Availability Calculation 3.1 Availability Calculation in Internet 3.2 Path Identification Using RIP 3.3 Path Identification Using OSPF 3.4 Ford Fulkerson Algorithm 4 Results 4.1 General DPM Calculation 5 Conclusion References Machine Learning in Cancer Genomics 1 Introduction 2 Proposed Approach 2.1 Overview 2.2 Machine Learning Algorithms 3 Mean Based Classification 4 Mean Based Classification (Standard Deviation Variant) 5 Shapely Value-Based Interpretation 6 Results and Discussions 6.1 Dataset Used 6.2 Machine Learning Algorithms Results 6.3 Shapely Value-Based Explanations on Pancreas Dataset 7 Conclusion and Future Scope References Cyber Security Privacy-Preserving Blockchain-Based EHR Using ZK-Snarks 1 Introduction 2 Related Work 3 Blockchain Concepts 3.1 Ethereum 3.2 Hyperledger Sawtooth 3.3 Consensus 3.4 Consensus Algorithms in Hyperledger Sawtooth 3.5 Merkle Tree 4 Zero-Knowledge Proof (ZKP) 5 Proposed Methodology 6 Implementation 6.1 Zero-Knowledge Proof Algorithm 7 Results and Discussions 7.1 Hyperledger Sawtooth 8 Conclusion References Offensiveness Detection in Hinglish Code-Switched Language 1 History and Introduction 2 Related Work 3 Dataset 4 Proposed Approach 4.1 Pre-processing 4.2 Dealing with Code-Switching 4.3 BERT - Based Model Architecture 5 Model Evaluation and Results 6 Result Analysis 7 Conclusions and Future Work References Computational Models Modelling RNA Motifs Using Matrix Insertion-Deletion System 1 Introduction 2 Preliminaries 3 RNA Motifs Structural Illustration and Generation by MIDS 4 Conclusion References Pupil Segmentation Using Stirling’s Interpolation Based Fractional Differential Mask 1 Introduction 2 Related Works 3 Theoretical Background of Fractional Differentials 3.1 Definition 3.2 Fractional Differential Filter 4 Formulation of New Segmentation Mask 5 Proposed Method 6 Results and Discussion 6.1 Experimental Setup1 6.2 Experimental Setup2 7 Conclusion References EPAS: An Ergonomic Posture Analysis System 1 Introduction 2 Related Work 2.1 Mobile Apps and Wearable Devices for Posture Correction 2.2 Posture Estimation Using Machine Learning and Deep Learning Methods 2.3 Observations 3 Materials and Methods 3.1 Image Pre-processing 3.2 Human Figure Analysis 3.3 Object Analysis 4 Performance Analysis 4.1 Dataset 4.2 Sample Outputs 4.3 Evaluation Metrics 4.4 Performance Measures 5 Conclusion References Studies on Winding Number in Abstract Cellular Complex 1 Introduction 2 Preliminaries in Abstract Cellular Complex 3 Free Homotopy and Winding Number of Abstract Cellular Complex 4 Conclusion References COVID-19 Semantic Search Engine Using Sentence-Transformer Models 1 Introduction 1.1 Main Contributions 2 Related Works 3 Proposed Method 3.1 RoBERTa 3.2 Explanation of the Block Diagram 4 Experiments and Results 4.1 Latent Semantic Indexing Model Using SVD 4.2 Sentence Transformer Models 5 Conclusion References Author Index