Advances in Computational Intelligence and Informatics

Name: Advances in Computational Intelligence and Informatics | Proceedings of ICACII 2023
Brand: Springer
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Proceedings of ICACII 2023

Raghavendra Rao Chillarige Salvatore Distefano Sandeep Singh Rawat(Editor)

Springer (Publisher)

1st Edition

Published on 22. August 2024

XXIX, 427 pages

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978-981-97-4727-6 (ISBN)

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Dr. C Raghavendra Rao is Senior Professor at School of Computer & Information Sciences (SCIS) at University of Hyderabad. He obtained his Bachelor of Science from Andhra University, his master's and doctorate degrees from Osmania University, Hyderabad. He has received Fellow of IETE and APAS and elected as Senior Member of IRSS. His research areas include operations research, stochastic processes, computer graphic, artificial intelligence, and rough computing. Dr. C R Rao authored and co-authored more than 180 scientific papers and contributions in international journals, conferences, and wrote four books. He has supervised 15 Ph.D. scholars and many master's students. He has organized many workshops and conferences. He was in the technical program committee members for many conferences including CIT2009, AMLTA2012, and MIWAI 2017. He is Professional Member of ACM, Society for Development of Statistics, Indian Society for Probability and Statistics, Indian Mathematical Society, IETE, and many more.

Dr. Salvatore Distefano is Associate Professor at University of Messina, Italy; Fellow Professor at Kazan Federal University, Russia; and Head of the Social and Urban Computing Group and of the Cisco Innovation Center in Kazan. In 2001 he got the master's degree in Computer Engineering from the University of Catania, and then, in 2006, he received the Ph.D. degree in Computer Science and Engineering from University of Messina. Dr. Salvatore authored and co-authored more than 200 scientific papers and contributions in international journals, conferences, and books. He took part in several national and international projects, such as Reservoir, Vision (EU FP7), SMSCOM (EU FP7 ERC Advanced Grant), Beacon, and IoT-Open.EU (EU H2020). He is in the editorial boards of IEEE Transactions on Dependable and Secure Computing, International Journal of Performability Engineering, Journal of Cloud Computing, International Journal of Engineering and Industries, International Journal of Big Data, International Journal of Computer Science & Information Technology Applications, and International Journal of Distributed Sensor Networks.

Prof. Sandeep Singh Rawat is Experienced Researcher and Consultant with proven leadership abilities in areas of Knowledge Extraction, Information System and Machine Learning, Database, Information Retrieval, Data Warehousing, Big Data, and Groups Decision Support Systems. Dr. Sandeep obtained his Bachelor of Engineering in Computer Science from National Institute of Technology, Surat (formerly REC, Surat), his master's from Indian Institute of Technology, Roorkee, and doctorate degree from University College of Engineering, Osmania University, Hyderabad. Dr. Sandeep was Research Scholar and Visiting Professor at Iowa State University, USA (2016 to 2018).

Dr. Sandeep actively participates in multiple committees at IGNOU, including those overseeing online course coordination, innovation promotion, and cybersecurity planning. He also contributes to the School Board at various IGNOU schools and serves as Board of Studies Member at UOU, Haldwani, Uttrakhand. Dr. Sandeep is Senior Member of IEEE and Life Members of Indian Society for Technical Education & Computer Society India and served as Co-editors of the prestigious Springer Advances in Intelligent Systems and Computing (AISC)and Lecture Notes in Networks and Systems (LNNS) series. He is Reviewer and Technical Committee Member for many national/international conferences. He has published/presented high-quality research papers in international, national journals and proceedings of international conferences.

Content

Intro
ICACII2023 Committee
Foreword
Preface
Contents
Editors and Contributors
Optimizing Complex Challenges: Harnessing the Power of Genetic Algorithms and the Nelder-Mead Simplex Algorithm for Effective Problem Solving
1 Introduction
2 Overview of GA and NMA
2.1 Genetic Algorithm
2.2 Nelder-Mead Algorithm
3 Hybrid Genetic Algorithm with Nelder-Mead Simplex Algorithm (HGANM)
4 Benchmark Functions
4.1 Experimental Configuration
4.2 Result and Analysis
5 Real-Life Problems
5.1 Experimental Setup
5.2 Analysis and Outcome
6 Conclusion
References
State-of-the-Art Techniques and Evaluation Criteria for Mobile Application Offloading in Heterogeneous Networks: A Comprehensive Survey of Computation, Data, and Energy Offloading Approaches
1 Introduction
2 Background
2.1 Offloading Techniques
2.2 Literature Survey
2.3 Current Gaps in Research and Opportunities for Future Work
3 Conclusion
References
IDSSA: An Intrusion Detection System with Self-adaptive Capabilities for Strengthening the IoT Network Security
1 Introduction
1.1 Objectives of the Research
2 Related Works
3 Proposed System
3.1 NSL-KDD Dataset
3.2 Preprocessing
3.3 DNS and EAT
4 Results and Discussions
5 Conclusion and Future Scope
References
Privacy and Security Aspects of Indian Population While Using Online Social Network: An Analysis
1 Introduction
2 Related Work
3 Methodology
4 Results and Analysis
5 Conclusion
References
Digital HR Strategy in the Modern Business Environment of Ukraine in Conditions of Uncertainty
1 Introduction
2 Literature Review
3 Methodological Approach
4 Conducting the Research and the Results
5 Conclusion and Discussion
References
A Model for Quality Management in Industrial Products Based on Machine Learning and Image Processing Techniques
1 Introduction
2 Related Work
3 Our Work
3.1 Proposed Algorithm
3.2 Working Process
4 Conclusion
References
An Extensive Study on Financial Fraud Detection Using Artificial Intelligence-Based Models
1 Introduction
1.1 Overview to Big Data
1.2 Digital Banking
2 Data
2.1 Data Collection
2.2 Data Organization
2.3 Data Modality
3 Types of Financial Fraud
4 Financial Crime Compliance Risk
4.1 Identity Theft
4.2 Financial Declaration Fraud and Insurance Fraud
4.3 Anti-Money Laundering
4.4 Trafficking and Sanctions
5 Financial Fraud Finding Challenges and Future Instructions
5.1 Futures of Digital Banking
6 Conclusion
References
Exploring the State of the Art in Mobile Agent Computing: A Comparative Study of Adaptive Fault Tolerance, Security, Transaction, and Multicore Support
1 Introduction
2 Recent Techniques of Mobile Agent Computing
2.1 Lightweight Agent Platforms
2.2 Agent Migration Strategies
2.3 Context-Awareness
2.4 Security and Trust Management
2.5 Fault Tolerance and Resilience
2.6 Energy Efficiency
2.7 Machine Learning Integration
3 Comparative Table for Adaptive Fault Tolerant in the State of Art of Mobile Agent Computing: Security, Fault Tolerance, Transaction, and Multicore Support
4 Development of Mobile Agent Computing
4.1 Early Research
4.2 Platform Development
4.3 Agent Migration Strategies
4.4 Security and Trust Management
4.5 Application Development
4.6 Standardization Efforts
4.7 Performance Optimization
4.8 Context-Awareness and Intelligence
4.9 Mobile Agent Middleware
5 Conclusion
References
Leveraging Bidirectional Encoder Representations from Transformers (BERT) for Enhanced Sentiment Analysis
1 Introduction
2 Problem Statement
2.1 Exploring BERT-Driven Models Across Various Domains
3 BERT Architecture
4 Applications of BERT Techniques
5 Significance of BERT for Sentiment Analysis
6 Methodology for BERT in Sentiment Analysis
7 Conclusion
References
Securing the Future of Connected Cars: Investigating Vulnerabilities and Preventing Cyberattacks
1 Introduction
2 Literature Review
3 Types of Attacks
3.1 Malware Attacks
3.2 Wireless Attacks
4 Methods of Detecting and Preventing Attacks
5 Future Directions in Connected Car Security
6 Conclusion
References
Smart Surveillance Using OpenCV
1 Introduction
1.1 Objective
2 Related Work
2.1 A Hybrid Algorithm for Tracking and Counting Many Persons in Smart Surveillance
2.2 Performance Evaluation of the Intelligent Traffic Surveillance System's Object Detection Algorithm
2.3 Crowd Counting and Detection of Normal/Abnormal Events Using Multi-Person Tracking in a Smart Surveillance System
2.4 Raspberry Pi-Based IoT-Based Smart Surveillance and Security System
2.5 Intelligent Video Security Surveillance with Mobile Remote Control
3 Proposed Method
3.1 Structural Similarity Index Metric (SSIM)
3.2 Detecting Faces in the Frames
3.3 Look for Background Noise
3.4 Local Binary Pattern Histogram (LBPH)
4 Experimental Results
4.1 Feature 1-Monitor
4.2 Feature 2-Action Detection
4.3 Feature 3-Rectangle
4.4 Feature 4-Record
4.5 Feature 5-Identify
4.6 Feature 6-In and Out
5 Conclusion
References
Hyperspectral Band Selection Considering Spectral and Spatial Information
1 Introduction
2 Problem Statement
3 Scope and Objectives
4 Literature Survey
5 Proposed System
5.1 System Specifications
5.2 Block Diagram
5.3 Methodology
6 Experimental Setup and Results
6.1 Results
7 Summary and Future Scope
References
Water Pumping Requirement Prediction in Irrigation System Using Internet of Things-Assisted Machine Intelligence-Based Approach
1 Introduction
2 Related Works
3 Methodology
4 Results
5 Conclusion
References
Hybrid Method for Discovering DDOS Attack
1 Introduction
2 Objectives
3 Scope
4 Methodology
5 System Architecture
5.1 Algorithms
5.2 Data Set
5.3 Data Preprocessing
5.4 Results
6 Conclusions
References
A Novel Chaotic Map-Based Noise-Resistant Image Encryption Scheme for Medical Images
1 Introduction
2 Proposed Method
2.1 Encryption
3 Simulation Results
3.1 Encryption Efficiency Analysis
4 Conclusion
References
Survey of Attacks, Detection Techniques, and Evaluation Metrics in Wireless Sensor Networks
1 Introduction
1.1 Overview of Wireless Sensor Networks
2 Key Characteristics and Challenges
3 The Importance of Security in WSN
4 Different Protocols Used in WSN
5 Literature Review of Layerwise Attacks in WSN
6 Detection and Evaluation Metrics
7 Conclusion
References
Big Data's Ethical Frontier: Addressing Concerns in Data Acquisition and Analysis
1 Introduction
2 Ethical Challenges in Big Data
3 Cambridge Analytica Scandal
4 Aadhaar Data Leak
4.1 Ethical Concerns in Data Analysis and Regulatory Framework
5 Conclusion
References
Evaluating Security Risks and Protecting Conversational AI: An in-Depth Vulnerability Assessment and Security Testing of the ChatGPT Android Application
1 Introduction
2 Methodology
3 Results
4 Conclusion
References
Neural Networks and GPU-Based Weed Detection Under Varying Light Illumination
1 Introduction
2 Proposed System
2.1 Dataset and Process Flow
2.2 Feature Extraction
2.3 Feature Selection
2.4 Methodology Used
2.5 Faster RCNN Algorithm
2.6 CNN Implementation Algorithm
3 Conclusion
References
Intelligent ECG-Based COVID-19 Diagnose Device Using CNN Deep Learning Approaches
1 Introduction
2 Literature Review
3 Techniques
3.1 Document Search
3.2 Search Methods
3.3 Restrictions
3.4 Presence in the Review Publication
4 Deep Convolution Transfer Learning via Neural Networks
4.1 Methodology
4.2 Different Abnormalities in ECG Images
5 Implementation
6 Conclusion
References
Analyzing Twitter Data Using Apache Hive-A Big Data Technology Exploration
1 Introduction
2 Big Data and Twitter Data Analysis
3 Experimental Setup
4 Conclusion
References
Detection of Phishing Websites Using Link Guard Algorithm
1 Introduction
2 Literature Survey
3 Problem Statement
4 Objectives
5 Existing Work
6 Proposed Work
6.1 Program Code
7 Methodology
8 Result
9 Conclusion
References
Forecasting Financial Commodities Using an Evolutionary Optimized Higher-Order Artificial Neural Network
1 Introduction
2 Method and Materials
2.1 Firefly Algorithm
2.2 Nelder-Mead Simplex Algorithm
2.3 Improved FFA
2.4 Pi-Sigma Neural Network
2.5 IFFA-PSNN Forecasting Model Training
3 Experimental Setup and Datasets
4 Results and Discussion
5 Conclusions
References
Plant Leaf Disease Classification Using GAN
1 Introduction
2 Problem Statement
3 Scope and Objectives
4 Literature Survey
4.1 Generative Adversarial Networks
4.2 VGG16
4.3 Data Augmentation
4.4 Deep Learning
4.5 Data Preprocessing
5 Proposed System
5.1 System Specifications
5.2 Methodology
6 Functional Modules
7 Pseudocode
8 Experimental Setup and Results
8.1 Results
9 Summary and Future Scope
References
A Survey on Vehicle Detection, Counting, and Classification
1 Introduction
2 Related Work
3 Conclusion
References
Smart Dustbin Using IoT
1 Introduction
2 Literature Review
3 Proposed Method
4 Results and Discussion
5 Conclusion
References
Performance Assessment of the Map Reduce Framework with HDFS for High Availability and Fault Tolerance
1 Introduction
2 Hadoop High-Level Architecture
3 Hadoop Cluster Vision
4 Read Write Operation in Hadoop
5 Hadoop Map Reduce Jobs Execution
6 Failure of a Secondary Name Node
7 Resource Manager Failure
8 Conclusion and Future Work
References
Artificial Intelligence in Finance: A Systematic Literature Review
1 Introduction
2 Background
2.1 Artificial Intelligence
2.2 Finance
3 AI in Finance
4 Systematic Literature Review
4.1 Planning
4.2 Execution
4.3 Presentation of Results
5 Conclusions and Future Directions
References
UAV Data Collection and Analyzing Model Using Machine Learning-Based Precedence Ordered Data Gathering Technique
1 Introduction
2 Literature Survey
3 Proposed Model
4 Results
5 Conclusion
References
MAFD: Model Agnostic Forest Densenet Approach for Brain Tumor Detection
1 Introduction
2 Literature Survey
3 Proposed Methodology
4 Results and Discussion
5 Conclusion
References
A General Comparative Study of Various Video Compression Standards Based on Their Features, Working Mechanism and Usage Applications
1 Introduction
2 Need for Video Compression
3 A General Comparison of Video Compression Standards
3.1 Motion JPEG
3.2 H.261
3.3 MPEG-1
3.4 MPEG-2
3.5 H.263
3.6 MPEG-4
3.7 H.264/Advanced Video Coding (AVC)
3.8 H.266/Versatile Video Coding (VVC)
3.9 Vp9
4 Conclusion
References
Enhancing Steganography Security: A Dual Layer Approach with LSB and AES Algorithm
1 Introduction
2 Literature Survey
3 Problem Statement
4 Objectives
5 Existing Work
6 Proposed Work
7 Result
8 Discussion
9 Code
10 Conclusion
References
Deep Features for Age-Invariant Face Recognition
1 Introduction
2 Literature Review
3 Proposed Methodology
4 Experimental Results and Analysis
5 Conclusion and Future Scope
References
Efficient Auditing Scheme for Secure Data Storage in Fog
1 Introduction
2 Literature Survey
3 Problem Statement
4 Proposed System
5 System Architecture
6 Implementation
6.1 Sender (Owner)
6.2 CSP
6.3 Receiver (User)
6.4 FOG
6.5 KGC
7 Algorithms Used
7.1 Homomorphic MAC
8 Output Results
9 Conclusion
References
CNN Architectures in Lung Carcinoma Nodule Identification: Detailed Analysis with Performance Comparison
1 Introduction
1.1 CNN Models for Feature Extraction and Their Default Values of Hyperparameters
2 Related Works
3 Experimental Setup
4 Comparison and Analysis
5 Conclusion
References
Applying the Image Outline Creation Procedure for Extracting the Visual Content of Images
1 Introduction
2 Existing System
2.1 Advantage of the Current System
2.2 Disadvantage of Current System
3 Proposed System
3.1 Advantage of Proposed System
4 Investigational Arrangement
4.1 Investigational Arrangements
4.2 Image Histogram Generation
4.3 User Preparation Segment
4.4 Pseudocode for Image Training Process
5 System Preparation Process
5.1 Pseudocode for Image Training Process
6 Conclusion and Future Enhancement
References
Security-Aware Information Classification Using Attributes Extraction for Big Data Cyber Security Analytics
1 Introduction
2 Literature Survey
3 Frame Work of Security-Aware Information Classification Using Attributes Extraction for Big Data Cybersecurity Analytics
4 Result Analysis
5 Conclusion
References
Study and Analysis of FIDO2 Passwordless Web Authentication
1 Introduction
2 FIDO2 Passwordless Authentication
2.1 FIDO2 and Its Two Core Protocols
3 Related Work
3.1 Overview of Passwordless Landscape
3.2 Integration with Blockchain
3.3 Accessibility
3.4 Comparative Usability Study
4 Discussion
4.1 Interoperability
4.2 Standardization
4.3 Advancing FIDO2 Through User Centric Design
4.4 Integration Challenges and Mitigation Strategies
5 Biometric Authentication
5.1 Biometrics Offer Notable Advantages Over Passwords
5.2 Limitations and Risks
5.3 Hybrid Authentication
6 Conclusion and Future Enhancement
References
Identifying Objects at Construction Sites Using CNN
1 Introduction
2 Problem Statement-Overview
3 Motivation
4 Scope and Objectives
5 Organization of the Report
6 Literature Survey CNN
7 Proposed System
7.1 System Specifications
7.2 Methodology
7.3 Functional Modules
8 Experimental Setup and Results
9 Summary and Future Scope
References
Apparent Personality Traits Detection Based on Correlation-Based Attention and Feature Weighting Methods
1 Introduction
2 Related Work
3 Methodology
3.1 Dataset Acquisition
3.2 Feature Extraction
3.3 Correlation-Based Attention Method
3.4 Feature Weighing Method
3.5 ML Classifiers
3.6 Big-5 Model Classification
3.7 Performance Evaluation
4 Results
5 Conclusion
References
Identification and Forecast of Heart and Diabetic Disease Using Machine Learning
1 Introduction
2 Literature Survey
3 Proposed Work
4 Machine Learning Methods
4.1 Logistic Regression Algorithm
4.2 Support Vector Machine Algorithm
4.3 Random Forest Algorithm
5 Results and Analysis
6 Conclusion and Future Scope
References
Braille-to-Voice Converter Using Image Processing
1 Introduction
1.1 Authors Contribution
2 Literature Survey
3 Braille-to-Voice Converter Implementation
3.1 Scanning
3.2 Image Processing
3.3 Optical Character Recognition
3.4 Braille-to-Text Conversion
3.5 Flow Diagram of the Proposed Work
4 Results and Discussion
5 Conclusions
References
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Advances in Computational Intelligence and Informatics

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