Pervasive Computing and Social Networking

Name: Pervasive Computing and Social Networking | Proceedings of ICPCSN 2021
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Proceedings of ICPCSN 2021

G. Ranganathan Robert Bestak Ram Palanisamy Álvaro Rocha(Editor)

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1st Edition

Published on 1. January 2022

XXIX, 761 pages

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978-981-16-5640-8 (ISBN)

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Dr. G Ranganathan working as a Professor at Gnanamani college of technology, Namakkal, India. He has done his PhD in the Faculty of Information and Communication Engineering from Anna University, Chennai in the year 2013. His research thesis was in the area of BioMedical Signal Processing. He has a total of 29+ years of experience both in industry, teaching and research. He has guided several project works for many UG and PG Students in the areas of BioMedical Signal Processing. He has published more than 35 research papers in International and National Journals and Conferences. He has also co-authored many books in electrical and electronics subjects. He has served as Referee for many reputed International Journals published by Elsevier, Springer, Taylor and Francis, etc. He has membership in various professional bodies like ISTE, IAENG etc., and has actively involved himself in organizing various international and national level conferences, symposiums, seminars, etc.
Robert Bestak received the PhD degree in Computer Science from ENST Paris, France (2003) and MSc degree in Telecommunications from Czech Technical University in Prague, CTU, Czech Republic (1999). Since 2004, he has been an Assistant Professor at the Department of Telecommunication Engineering, Faculty of Electrical Engineering, CTU. He took part in several national, EU, and third-party research projects. He is the Czech representative in the IFIP TC6 organization and vice-chair of working group TC6 WG6.8. He serves as Steering and Technical Program Committee member of many IEEE/IFIP conferences (Networking, WMNC, NGMAST, etc.) and he is a member of the editorial board of several international journals (Computers & Electrical Engineering, Electronic Commerce Research Journal, etc.). His research interests include 5G networks, spectrum management and big data in mobile networks.

Prof. Ram Palanisamy is a Professor of Enterprise Systems in the Business Administration Department at the Gerald Schwartz School of Business, St. Francis Xavier University. Dr. Palanisamy teaches courses on Foundations of Business Information Technology, Enterprise Systems using SAP, Systems Analysis and Design, SAP Implementation, Database Management Systems, and Electronic Business (Mobile Commerce). Before joining StFX, he taught courses in Management at the Wayne State University (Detroit, USA), Universiti Telekom (Malaysia) and National Institute of Technology (NITT), Deemed University, India. His research interests include Enterprise Systems (ES) implementation; ES acquisition; ES Flexibility, ES Success; knowledge management systems; Healthcare Inter-professional Collaboration.

Prof. Álvaro Rocha holds the title of Honorary Professor (2019), Information Science Aggregation (2011), PhD in Information Technology and Systems (2001), Master in Management Informatics (1995) and Degree in Applied Mathematics (1990). He is currently Professor at the University of Coimbra, Researcher at CISUC - Center for Informatics and Systems at the University of Coimbra, Collaborating Researcher at LIACC - Laboratory for Artificial Intelligence and Computer Science, Collaborative Researcher at CINTESIS - Research Center for Information Technology and Systems He is also President of AISTI - Iberian Association of Information Systems and Technologies, President of the Portuguese Chapter of the IEEE SMC Society - Systems, Man, and Cybernetics, Editor of RISTI - Iberian Journal of Information Systems and Technologies, and Editor of the Journal of Information Systems Engineering & Management. He has also served as Vice President of Experts at Horizon 2020 of the European Commission, as an Expert in the Ministry of Education, Universities and Research of the Italian Government, and as an Expert in the Ministry of Finance of the Latvian Government.

Content

Intro
Foreword
Preface
Acknowledgements
Contents
Editors and Contributors
The Implementation of Failure Mode and Effects Analysis (FMEA) of the Information System Security on the Government Electronic Procurement Service (LPSE) System
1 Introduction
2 Research Methods
2.1 Data Collection and Processing
2.2 Research Stages
2.3 Research Variables
3 Result and Dıscussıon
3.1 Potential List of Failures
3.2 Pareto and Ishikawa Diagrams
3.3 Calculation of RPN
4 Conclusion
References
MQTT Attack Detection Using AI and ML Algorithm
1 Introduction
2 MQTT Protocol
2.1 IoT and MQTT Protocol
2.2 Security Overview of MQTT
3 Methods and Martials
3.1 MQTTset
3.2 Proposed MQTT attack detection architecture
3.3 Data Discovery
3.4 Feature Encoding
3.5 Feature Selection
3.6 Classification
4 Performance Metrics
4.1 Confusion Matrix
4.2 Accuracy
5 Result and Analysis
5.1 Feature Selection
6 Discussion
7 Conclusion
References
Detection of Credit Card Fraud Using Isolation Forest Algorithm
1 Introduction
2 Literature Study
3 Materials and Methods
4 Frauds and Normal with Respect to Amount
5 Frauds and Normal with Respect to Time
6 Result and Discussions
7 Conclusion
References
Trust-Based Context-Aware Collaborative Filtering Using Denoising Autoencoder
1 Introduction
2 Related Work
3 Proposed Method
3.1 Item Splitting
3.2 Calculating Implicit Trust
3.3 Integrating Implicit & Explicit Trust Information
3.4 Recommendation Process
4 Experimental Evaluation
4.1 Dataset Description
4.2 Experimental Setup
4.3 The Effect of Layer Size and Corruption Ratio
4.4 Results and Discussion
5 Conclusion and Future Work
References
Exploration on Content-Based Image Retrieval Methods
1 Introduction
2 Related Work
2.1 Text Centered Image Retrieval
2.2 Content Centered Image Retrieval
2.3 Multimodal Fusion Image Retrieval
2.4 Semantic Grounded Image Retrieval
3 Proposed Model for Content-Based Image Retrieval
4 Enactment Assessment of Image Retrieval
5 Conclusion
References
Forward and Control Approach to Minimize Delay in Delay Tolerant Networks
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Forward and Control Technique
4 Results Analysis
5 Conclusion
References
Human Face Recognition Using Eigenface, SURF Method
1 Introduction
2 Relevant Works
3 Research Methodology
3.1 Data Collection
3.2 PCA Approach to Face Recognition
3.3 Eigenface
3.4 Speed up Robust Features (SURF):
4 Experimental Results and Discussion
4.1 Expected Outcomes After Using Eigenface
4.2 Displayed Results of SURF After Using Different Levels of Dimensions
5 Conclusion
References
Multiple Cascading Algorithms to Evaluate Performance of Face Detection
1 Introduction
2 Proposed Work
2.1 Dynamic Cascading Method
2.2 Haar Cascading Method
2.3 SURF Cascading Method
2.4 Fea-Accu Cascading Method
3 Result Analysis
4 Discussion
5 Conclusion
References
Data Prediction and Analysis of COVID-19 Using Epidemic Models
1 Introduction
2 Literature Survey
3 Methodology Used
3.1 SIR Model
3.2 SEIR Model
4 Result and Discussion
5 Conclusion
References
A Comparative Analysis of Energy Consumption in Wireless Sensor Networks
1 Introduction
2 WSN Design Concentration
2.1 Hardware Design Requirements
2.2 Software Design Requirements
3 WSN Desıgn Requırements
4 Energy Consumptıons Algorıthms
5 Comparative Analysis
6 Conclusıons
References
Performance Evaluation Among ID3, C4.5, and CART Decision Tree Algorithm
1 Introduction
2 Proposed Work
2.1 Decision Tree
2.2 ID3 (Iterative Dichotomiser 3)
2.3 C4.5 (Classification 4.5)
2.4 Classification and Regression Trees (CART)
3 Result Analysis
3.1 ID3
3.2 C4.5
3.3 CART
3.4 Algorithm Comparison
3.5 Accuracy Comparison
4 Conclusion
References
Human Face Recognition Applying Haar Cascade Classifier
1 Introduction
2 Literature Review
3 Methodology and System Overview
3.1 Dynamic Cascading Method
3.2 Train Stored Image (TSI)
3.3 Face Recognize with Using LBPH
4 Results and Discussion
5 Conclusion
References
A Novel Simon Light Weight Block Cipher Implementation in FPGA
1 Introduction
2 Proposed Work
2.1 Simon Block Cipher
2.2 Round Function
2.3 Key Schedule
2.4 Round Function Algorithm
2.5 Clock Gating
2.6 Power Gating
3 Experimental Results
4 Conclusion and Future Scope
References
Assisting the Visually Challenged People Using Faster RCNN with Inception ResNet V2 Based Object Detection Model
1 Introduction
2 Literature Review
3 The Proposed Model
4 Performance Validation
5 Conclusion
References
Analysis of Kidney Ultrasound Images Using Deep Learning and Machine Learning Techniques: A Review
1 Introduction
2 US Kidney Image Processing Using Machine Learning Techniques
2.1 Pre-processing
2.2 Segmentation
2.3 Classification of Kidney Diseases
2.4 Kidney Diseases Detection
3 US Kidney Image Processing Using Deep Learning Techniques
3.1 Image Enhancement
3.2 Segmentation
3.3 Classification
3.4 Disease Detection
4 Conclusion and Future Directions
References
Big Data Mining-Analysis and Prediction of Data, Based on Student Performance
1 Introduction
2 Origin of the Data
3 Research Work
3.1 National Status
3.2 Global Status
4 Benefits
4.1 Benefits for Teachers
4.2 Benefits to the Educators
4.3 Benefits to the Students, Universities and Society
4.4 Benefits for Teachers
5 Proposed Work
6 Result Analysis/Methodology
6.1 Sampling Techniques to Be Used
6.2 Data Collection and Quiz Construction
6.3 The Statistical Test Will Be Used for Chi Square Test Analysis
6.4 Data Collection and Analysis Tools
6.5 Decision Tree Induction Algorithm of Data Mining
6.6 Result and Actions
7 Conclusion
References
A Survey Paper on Characteristics and Technique Used for Enhancement of Cloud Computıng and Their Security Issues
1 Introduction
1.1 Introduction to Cloud Computing
1.2 Cloud Computing Deployment Models
1.3 Importance of Cloud Computing
1.4 Cloud Computing Architecture
1.5 Security Issues with Different Techniques Used in Cloud Computing
2 Literature Survey
2.1 Features of SDN-Based Cloud in Defeating DDoS Attack and Challenges for SDN-Based Cloud
3 Proposed Architecture
4 Conclusion and Future work
References
Audio Classification for Melody Transcription in the Context of Indian Art Music
1 Introduction
1.1 Music Information Retrieval
1.2 MIR from Vocal Melodies
1.3 Vocal Expressions in Indian Art Music
2 Related Work
3 Proposed System
3.1 YIN Algorithm for Frequency Estimation
3.2 Features Used in the Proposed System and Relevance
3.3 Decision Tree Classifier
3.4 Data set of Experimentation
3.5 System Description
4 Results and Discussion
5 Conclusion and Future Scope
References
Analysing Microsoft Teams as an Effective Online Collaborative Network Model Among Teaching and Learning Communities
1 Introduction
2 Literary Survey
3 Methodology
3.1 Questionnaire
3.2 Sample Selection
4 Analysis and Findings
4.1 Basic Functions in MS Teams
4.2 Discussion Using MS Teams
4.3 Conducting Assessments in MS Teams
4.4 Features in MS Teams
4.5 Comparison with Other Network Models
5 Conclusion
References
High Level Identification Using Palm Vein Based on Deep Neural Network
1 Introduction
2 Related Works
3 Proposed System
4 Methodology
4.1 Vascular Example Marker Calculation
4.2 Vascular Example Extractor Calculation
4.3 Pattern Diminishing Calculation
4.4 Coordinating Pictures
5 Experimental Results
6 Conclusion
References
Inventory Control with Machine Learning Approach: A Bibliometric Analysis
1 Introduction
2 Methodology
3 Result and Discussion
3.1 Data Collection
3.2 Bibliometric Mapping Based on Keywords
4 Conclusion
References
ROS-Based Robot for Health Care Monitoring System
1 Introduction
2 Literature Survey
3 Proposed Methodology
3.1 Implementation of Hardware Design
3.2 Software Description
4 Experimental Results
5 Conclusion
References
Iot-Based Fleet Tracking with Engine Control for Automobiles
1 Introduction
2 Previous Works
3 New Methodology
4 Advantages of This System
5 Equipment and Methodology
5.1 Hardware
5.2 Software
6 Working
7 Conclusion
References
A Skip-Connected CNN and Residual Image-Based Deep Network for Image Splicing Localization
1 Introduction
2 Related Works
3 Proposed Method
3.1 Pre-processing the Input Image
3.2 Proposed CNN Architecture Design
3.3 Post-processing
4 Experimental Results and Analysis
4.1 Evaluation Metrics
4.2 Evaluation Based on Various Scenarios
5 Conclusion
References
A Comparative Study of Seasonal-ARIMA and RNN (LSTM) on Time Series Temperature Data Forecasting
1 Introduction
2 Related Work
3 Proposed Work
3.1 Data Preprocessing
4 Result Analysis
5 Conclusion
References
Design and Implementation of Photovoltaic Powered SEPIC DC-DC Converter Using Particle Swarm Optimization (PSO) Technique
1 Introduction
2 PV Cell
3 SEPIC DC-DC Converter
4 Particle Swarm Optimization (PSO)
5 Proposed Particle Swarm Optimization for Maximum Power Tracking
6 Sımulated Performance of Proposed System
7 Conclusion
References
A Systematic Review on Background Subtraction Model for Data Detection
1 Introduction
2 Taxonomy
2.1 Preprocessing
2.2 Background Modeling
3 Foreground Detection
4 Data Validation
5 Literature Review
6 Comparative Analysis
7 Conclusion
References
A Survey on Trust-Based Node Validation Model in Internet of Things
1 Introduction
2 Literature Survey
3 Proposed Model
4 Conclusion
References
Parameter Analysis in a Cyber-Physical System
1 Introduction
2 Related Works
3 Methodology
4 Experimental Results
5 Conclusion
References
Digitization and Data Analytics in Healthcare
1 Introduction
2 E-healthcare System
3 Problems with E-health Records
4 Security Threats and Solutions
5 Growth of Data Analytics E-healthcare in India
6 Pain Points in Data Analytics and E-healthcare Implementation in India
7 Data Breach in India: Few Instances
8 Reasons-Why Breaches Are Very Common in Healthcare Industry
9 India's Take on Healthcare Security
10 Conclusion
References
Concept Summarization of Uncertain Categorical Data Streams Based on Cluster Ensemble Approach
1 Introduction
2 Related Work
3 Background Approach
3.1 One-Class Learning
3.2 Concept-Based Summarization Learning
4 Cluster Ensemble Approach
4.1 F Problem Development and Normal Structure
4.2 Ensemble Creation Methods
4.3 Functions Consensus
4.4 Direct Methodology
4.5 Particular Dataset Sets
5 Performance Evaluation
5.1 Datasets Retrieval
6 Experimental Results
7 Conclusion
References
Fault-Tolerant Cluster Head Selection Using Game Theory Approach in Wireless Sensor Network
1 Introduction
2 Related Work
3 Proposed System
4 Cluster Formation
4.1 Cost of Cluster Head
4.2 Cost of Backup Cluster Head
4.3 Cost of Cluster Node with Cluster Head
4.4 Cost of Cluster Node with Backup Cluster Head
5 Game Theory
5.1 Nash Equilibrium
5.2 Players Utility Payoff
5.3 Player Utility Payoff Algorithm
6 Simulation and Results
6.1 Simulation Parameters
6.2 Result Analysis
7 Conclusion and Future Enhancement
References
The Prominence of Corporate Governance in Banking Sector with Reference to UAE
1 Introduction
2 Literature Review
3 Methods
4 Results and Discussion
5 Conclusion
References
Ensuring Privacy of Data and Mined Results of Data Possessor in Collaborative ARM
1 Introduction
2 Related Work
3 Levels of Process
3.1 Intra/Data Level
3.2 Inter/Pattern Level
4 Communication Between the Data Possessor
4.1 Fisher-Yates Shuffle Algorithm
5 Mining Process
5.1 Mining
6 Security Analysis
6.1 Security Under the Third-Party/Cloud Attacks
6.2 Security Under Data Possessors' Attacks
7 Application of Proposed Approach: Medical Management
8 Performance Evaluation
8.1 Computation Cost Analysis
8.2 Communication Cost Analysis
8.3 Data Utility
9 Conclusion
References
Implementation of Load Demand Prediction Model for a Domestic Load Center Using Different Machine Learning Algorithms-A Comparison
1 Introduction
2 Related Work
3 ML Algorithms Used
3.1 Artificial Neural Networks
3.2 Regression Based ML Algorithms
3.3 Regression Tree Algorithms
3.4 SVM for Regression
3.5 Ensemble Algorithms
3.6 Gaussian Process Regression Algorithm
4 Proposed Load Demand Prediction Model Using Machine Learning Algorithms
5 Results and Discussion
6 Conclusion
References
COVID Emergency Handlers to Invoke Needful Services Dynamically with Contextual Data
1 Introduction
2 Related Work
3 Proposed System Design
3.1 Registration
3.2 Service Invocation
3.3 Providing Emergency Services
4 System Implementation Results
5 Conclusion and Future Enhancements
References
Deep Neural Models for Key-Phrase Indexing
1 Introduction
2 Related Research
3 Methodology
3.1 Preliminaries
3.2 Proposed Models
4 Result and Evaluation
5 Conclusion and Future Work
References
A Hybrid Approach to Resolve Data Sparsity and Cold Start Hassle in Recommender Systems
1 Introduction
2 Related Work
3 Research Problem (RP)
4 Proposed Methodology
4.1 Novel Hybrid Proposed Methodology for Predicting and Recommending New User Preference
4.2 The Work Flow of Hybrid Algorithm to Solve CS Hassle
4.3 Finding Similarity Metrices Between the User and Item
4.4 Illustrating Accuracy Metrices
4.5 MovieLens100K Dataset
5 Step by Step Implementation and Experimental Setup
6 Results
6.1 Experimental Results
6.2 Discussions
6.3 Advantages of Proposed Work
7 Conclusion
References
Software Effort Estimation of Teacher Engagement Application
1 Introduction
2 Literature Review
3 Methods
3.1 Phase I
3.2 Phase II
3.3 Phase III
4 Results and Analysis
5 Conclusion
References
Scheduling Method to Improve Energy Consumption in WSN
1 Introduction
2 Related Work
3 Existing Global Barrier Coverage Method
4 Proposed Scheduling Method
5 Evaluation of the Performance
6 Conclusion
References
Energy Dissipation Analysis in Micro/Nanobeam Cantilever Resonators Applying Non-classical Theory
1 Introduction
2 Expression for Thermoelastic Damping Limited Quality Factor
2.1 Stress Field in a Vibrating Cantilever Microbeam
2.2 Thermoelastic Damping Limited Quality Factor by Applying MCST
3 Results and Discussions
4 Conclusion
References
An Integrated Technique for Security of Cellular 5G-IoT Network Healthcare Architecture
1 Introduction
2 5G IOT Security Device and Component
3 Healthcare Security 5G IOT Protocol
3.1 Protocol for Restricted Application
4 Healthcare IOT Key Management Process Algorithm
4.1 Generation and Distribution Process
4.2 Protocol for Extensible Messaging and Presence
4.3 Cloud Distributed Approach 5G Era
4.4 Algorithm for Fuzzy C-means Clustering (FCMC)
5 MATLAB Synchronization
5.1 Privacy Potential Realized
5.2 TSCS and Bisection Comparison
6 Conclusion
References
Predictive Model for COVID-19 Using Deep Learning
1 Introduction
2 Background
2.1 Deep Learning
2.2 Convolution Neural Network
2.3 Generative Adversarial Networks
3 Existing Methodlogy
3.1 Data Generation
3.2 Auxiliary Classifier Generative Adversarial Network
3.3 Cyclic GANs
3.4 Model Architecture
4 Result
5 Conclusion and Future Scope
References
Automatic White Blood Cell Detection Depending on Color Features Based on Red and (A) in the LAB Space
1 Introductıon
2 Suggested Method
3 Quality Assessment
4 Results and Discussion
5 Conclusion
References
Facial Expression and Genre-Based Musical Classification Using Deep Learning
1 Introduction
2 Related Works
3 Dataset
3.1 FER2013 Dataset for Facial Expression Detection
3.2 Kaggle GTZAN Dataset for Genre Classification
4 Proposed System
4.1 Method
5 Summary of the Work
References
Post-Quantum Cryptography: A Solution to Quantum Computing on Security Approaches
1 Introduction
1.1 Quantum Computing
1.2 Benefits of Quantum Computing
1.3 Limitations of Current Quantum Computers
2 Applications of Quantum Computing in Various Domains
3 Impact of Quantum Computing on Cryptographic Approaches
4 Survey on Post-quantum Cryptographic Methods
4.1 Hash-Based Cryptography
4.2 Code-Based Cryptography
4.3 Lattice-Based Cryptography
4.4 Multivariate Cryptography
4.5 Supersingular Elliptic Curve Isogeny Cryptography
5 Conclusion
References
A Detailed Analysis of the CIDDS-001 and CICIDS-2017 Datasets
1 Introduction
2 Description of the Datasets
2.1 CIDDS-001 Dataset
2.2 CICIDS-2017
3 Feature Ranking Models
3.1 Information Gain (IG)
3.2 Gain Ratio (GR)
3.3 Correlation Coefficient
4 Traditional Classifiers
4.1 k-Nearest Neighbor Classifier
4.2 Support Vector Machine (SVM)
4.3 Naïve Bayes Classifier
4.4 Decision Tree (J48)
5 Experimental Setup
6 Results and Discussion
6.1 CIDDS-001
6.2 CICIDS-2017
7 Conclusion
References
Single-Round Cluster-Head Selection (SRCH) Algorithm for Energy-Efficient Communication in WSN
1 Introduction
2 Related Work
3 Proposed Approach
4 Performance Evaluation
5 Conclusions and Future Directions
References
Three-Pass (DInSAR) Ground Change Detection in Sukari Gold Mine, Eastern Desert, Egypt
1 Introduction
2 Study Area and Data Acquisition
2.1 The Study Area
2.2 Data Acquisition
3 Methodology
3.1 Three-Pass Differential Interferometry Approach
3.2 Orbit and Baseline Calculation
3.3 Co-Registration
3.4 Interferograms Generation
3.5 De-Burst and Phase Filtering
3.6 Differential Interferogram Generation
3.7 Height Conversion Stage
4 Results and Discussion
5 Conclusion
References
Integral Images: Efficient Algorithms for Their Computation Systems of Speeded-Up Robust Features (Surf)
1 Introduction
2 Literature Review
3 Existing Method
4 Proposed Method
5 Results and Discussion
6 Conclusion
References
Wireless Communication Network-Based Smart Grid System
1 Introduction
2 Wireless Networking
2.1 Types of Wireless Networks
2.2 Channel Selection
2.3 IP Address
3 Solution Deployment
3.1 Architecture
3.2 Block Diagram
3.3 Proposed Modeling
3.4 Flowcharts
4 Results and Analysis
4.1 Data Flow to Distribution Substation from Home
4.2 Data Flow to Home from Distribution Substation
4.3 Average Time Delay and Message Types
4.4 Time Limits for MMS and GOOSE
5 Conclusion
6 Future Work
References
The SEPNS Model of Rumor Propagation in Social Networks
1 Introduction
2 Related Work
3 The SEPNS Model of Rumor Spreading
3.1 Sentiment in Rumor Spreading
3.2 Rumor Propagation Model
4 Methodology
4.1 Discrete Compartmental Modeling
4.2 Evaluation with Twitter Set
5 Results and Discussion
5.1 Findings on Sentimental Analysis
5.2 Comparison with Other Discrete Compartmental Models
6 Conclusion
References
Chaotic Chicken Swarm Optimization-Based Deep Adaptive Clustering for Alzheimer Disease Detection
1 Introduction
2 Related Work
3 Methodology: Chaotic Chicken Swarm Optimization-Based Deep Adaptive Clustering for Alzheimer Disease Detection
3.1 Deep Adaptive Clustering
3.2 Chicken Swarm Optimization
3.3 Chickens Movement
4 Results and Discussions
5 Conclusion
References
Standard Analysis of Document Control as Information According to ISO 27001 2013 in PT XYZ
1 Introduction
2 Literature Review
2.1 Information Security (IS)
2.2 Information Security Planning
2.3 ISO 27001
2.4 Information Security Management System (ISMS)
3 Research Methodology
3.1 Data Collection
3.2 Data Analysis Method
4 Result and Dıscussıon
4.1 General Documentation
4.2 Creating and Updating
4.3 Control of Documented Information
5 Conclusion
References
Comparative Asset Pricing Models Using Different Machine Learning Tools
1 Introduction
2 Method of Study
2.1 Asset Pricing Models
3 Different Machine Learning Tools
3.1 Decision Trees
3.2 Neural Network
3.3 Ordinary Least Square
4 Data Specification
5 Results and Discussion
6 Conclusion
References
The Digital Fraud Risk Control on the Electronic-based Companies
1 Introduction
2 Literature Review
2.1 Organizations of Non-banks
2.2 Cybercrime
2.3 Mitigation of Risk
2.4 Abbreviations and Acronyms
3 Methodology and Resources
3.1 Resources and Methods
3.2 Systems
3.3 Actual Threats Detection
3.4 Effective Risk Management
3.5 General Computing Environment Threats
3.6 Assessment of Threats
3.7 Description of Effect
4 Criteria for Risk Assessment
4.1 Risks that are Related with System
4.2 Impact Scale
4.3 Assessing Chances (Probability)
4.4 Module of Risk
4.5 Vulnerability Matrix
5 Result and Discussion
6 Conclusion
References
Retraction Note to: Software Effort Estimation of Teacher Engagement Application
Retraction Note to: Chapter "Software Effort Estimation of Teacher Engagement Application" in: G. Ranganathan et al. (eds.), Pervasive Computing and Social Networking, Lecture Notes in Networks and Systems 317, https://doi.org/10.1007/978-981-16-5640-839
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Pervasive Computing and Social Networking

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