Education, Research and Business Technologies: Proceedings of 20th International Conference on Informatics in Economy (IE 2021) (Smart Innovation, Systems and Technologies, 276)

Preface
Contents
About the Editors
Part I IoT, Mobile-Embedded & Multimedia Solutions|Cloud & Distributed and Parallel Computing|Databases & Big Data
1 U-Healthcare Solutions’ Acceptance for Adults
	1.1 Introduction
	1.2 Smart Healthcare Solutions
	1.3 IoT, Smart Device, and Wearable Technologies’ Acceptance
		1.3.1 Research Methodology
		1.3.2 Data Analysis and Results
	1.4 Conclusions
	References
2 The Effectiveness of a Multimedia Mobile Application
	2.1 Introduction
	2.2 Literature Review
	2.3 Methodology
	2.4 The Proposed Solution
	2.5 Discussions
	2.6 Conclusions and Future Work
	References
3 An Analysis of Different Browser Attacks and Exploitation Techniques
	3.1 Introduction
	3.2 Evaluating the Security of a Browser
	3.3 Analysis of XSS, SOP Bypasses, and Other Security Features
	3.4 Classes of Vulnerabilities
	3.5 Internet Explorer
	3.6 Chromium and JIT Compilation
	3.7 Protection Mechanisms
	3.8 Exploitation Techniques
	3.9 Fuzzing
	3.10 Conclusion
	References
4 A General Cost Model in a Cloud Data Center
	4.1 Introduction
	4.2 Related Work
	4.3 Overview of Pricing Models Types
	4.4 Formulation of a General Cost Model in a Cloud Data Center
	4.5 Conclusions
	References
5 Opportunities and Disadvantages of Using Mobile Technologies Based on Cloud in Learning
	5.1 Introduction
	5.2 Cloud Presentation
		5.2.1 Mobile Cloud Computing
	5.3 Disadvantages for Cloud
		5.3.1 Security Risks for Cloud
	5.4 M-learning
	5.5 Opportunities for Cloud and Mobile Devices
	5.6 Conclusions
	References
6 Cloud Authentication Using FIDO Compliant Java Card Technology Secure Elements
	6.1 Introduction—FIDO Specifications
	6.2 FIDO Secure Elements Proof of Concept
		6.2.1 Architecture
		6.2.2 Data Flow
	6.3 Conclusions
		6.3.1 Benchmarking
		6.3.2 Future Work
	References
7 Research on Big Data Analytics Using a Scientometric Approach
	7.1 Introduction
	7.2 Research Methodology and Data Collection
	7.3 Analysis and Results
		7.3.1 Subject Areas Analysis
		7.3.2 Temporal Analysis
		7.3.3 Document Type Analysis
		7.3.4 Research Papers and Related Citations
		7.3.5 Keywords Analysis
		7.3.6 Geographic Analysis
	7.4 Conclusions
	References
8 Alerts and Fraud Detection in Electricity Consumption Recorded by Smart Metering Systems
	8.1 Introduction
	8.2 Machine Learning Algorithms
	8.3 Evaluating Models
	8.4 Results
	8.5 Conclusions and Future Research
	References
9 Analytical Capabilities of Graphs in Oracle Multimodel Database
	9.1 Graph Theory—From Mathematics to Computer Science
		9.1.1 Graphs in Mathematics
		9.1.2 Graphs in Computer Science
	9.2 Graph Databases
		9.2.1 Graph Model and GDBMSs (Graph Database Management Systems)
		9.2.2 Query Languages for Graph Databases
	9.3 Oracle Multimodel Database
	9.4 Graphs in Oracle Multimodel Database
		9.4.1 Types of Graphs in Oracle Database
		9.4.2 Property Graphs in Oracle
		9.4.3 Querying and Visualizing a Graph
	9.5 Conclusions
	References
10 Distributed Ledger Technology Economy
	10.1 Introduction
	10.2 DLT Highlights
	10.3 Token Economy
		10.3.1 Blockchain Tokens
		10.3.2 Non-Fungible Tokens (NFTs)
		10.3.3 Decentralized Finance
	10.4 Security Considerations
		10.4.1 Wallet Security
		10.4.2 Transaction Security
	10.5 Conclusions and Future Work
	References
11 Digital Humanism: Virtual Exhibitions in the Time of Pandemic and Evolving Collaboration of Relevant Actants
	11.1 Introduction
	11.2 Necessity of Virtual Exhibitions During the Pandemic Period
	11.3 Virtual Exhibitions, Current Developments, and Foreseen Evolution
	11.4 Collaborating Actants and Their Tools
		11.4.1 Networking GLAMs and IT Organizations
		11.4.2 Crowdsourcing Based Collaboration
	11.5 Concluding Remarks
	References
Part II Audit, Project Management and Quantitative Economics
12 Research on Data Analysis (Environmental, Social and Economic) in the Context of Implementing the Circular Economy
	12.1 Introduction
		12.1.1 What Is Circular Economy (CE)?
		12.1.2 Reduce, Reuse, Recycle
		12.1.3 Circular Versus Linear
		12.1.4 Accelerating a Proven Concept
	12.2 Methods Used
		12.2.1 Investigation
		12.2.2 Circular Economy and Supply Chain
		12.2.3 Circular Economy Implementation—What It Means and at Which Levels Can Be Achieved?
	12.3 Circular Economy and Sustainability
		12.3.1 Are These Two Concepts Really That Similar?
		12.3.2 What Kind of Relationship Types Exists Between Them?
	12.4 Conclusions
	References
13 Applying a Sustainable Vector Model to Generate Innovation
	13.1 Introduction
	13.2 Innovation and Its Main Generators
	13.3 A Sustainable Vector Approach for Modeling
	13.4 A Sustainable Vector Model for Generating Innovation
	13.5 Discussions
	13.6 Conclusions
	References
14 Optimal Employment Contracts with Several Types of Agents
	14.1 Introduction
	14.2 Optimal Contracts Under Symmetric Information (Rank I)
		14.2.1 Graphic Analysis of Optimal Contracts
	14.3 Optimal Contracts Under Asymmetric Information (Rank II)
	14.4 Conclusions
	References
15 Labor Market Trends During the COVID-19 Pandemic
	15.1 Introduction
		15.1.1 COVID-19 Pandemic
		15.1.2 Labor Market General
	15.2 Related Work
	15.3 Our Work
		15.3.1 Methodology
		15.3.2 Results
	15.4 Conclusions and Future Work
	References
16 The Labor Market in Relation to Digitalization—Perspectives on the European Union
	16.1 Introduction
	16.2 Methodology
	16.3 Explaining the Considered Variables in the Current Context
		16.3.1 The DESI Index
		16.3.2 Overview on the Key Indicators from the EU Labor Market
	16.4 Results and Discussion
	16.5 Conclusion and Future Research Directions
	References
17 The Impact of Bitcoin in the Financial Market. A Cybernetics Approach
	17.1 Introduction
	17.2 The Stage of the Knowledge in the Field
	17.3 The Network of Cryptocurrencies Analyzed as a Complex Adaptive System
	17.4 Case Study
	17.5 Conclusions
	References
Part III Artificial Intelligence, Data-mining & Machine Learning
18 Privacy-Preserving Framework for Deep Learning Cybersecurity Solutions
	18.1 Introduction
	18.2 Privacy in ML-Base Systems
		18.2.1 Challenges
		18.2.2 Possible Solutions
	18.3 Privacy-Preserving Trefoil Model
		18.3.1 Model Defining
		18.3.2 Implementation
	18.4 Conclusions
	References
19 Cyber Security Maturity Model for Critical Infrastructures
	19.1 Introduction
	19.2 Current Research in This Area
	19.3 Cyber Security Maturity Model
	19.4 Conclusions
	References
20 A GIS-Based Approach in Support of Monitoring Sustainable Urban Consumption Variables
	20.1 Introduction
		20.1.1 Current State and the Need of This Study
	20.2 Literature Review
		20.2.1 Literature Review Concerning Sustainable Urban Consumption Variables
		20.2.2 Literature Review Concerning IT Aspects of This Study
	20.3 Materials and Methods
		20.3.1 A Brief Description of the Proposed Methodology
		20.3.2 A Detailed Description of the Proposed Methodology
	20.4 Results and Discussion
	20.5 Conclusion
	Appendix: The Source Code of the Delphi Program
	References
21 Data Mining in Smart Agriculture
	21.1 Introduction
	21.2 Related Work
	21.3 Data Mining for Prediction
	21.4 Case Study
		21.4.1 Data Preparation and Data Visualization
		21.4.2 Correlations
		21.4.3 Multiple Linear Regression (MLR)
		21.4.4 Generalized Linear Model (GLM)
		21.4.5 Results
	21.5 Conclusions
	References
22 Machine Learning and Data Mining Techniques for Human Resource Optimization Process—Employee Attrition
	22.1 Big Data Analysis for Human Resources
	22.2 Proposed Methodology
		22.2.1 Data Set Used for the Analysis
		22.2.2 Machine Learning Methods
	22.3 Data Analysis and Results
		22.3.1 Dataset Observation and Analysis
		22.3.2 Classifications Models
	22.4 Conclusion and Future Work
	References
23 Machine Learning Techniques for Network Intrusion Detection—A Systematic Analysis
	23.1 Introduction
	23.2 Research Methodology to Establish ML Application Models in the Intrusion Detection Process
	23.3 Bibliometric Analysis of Results
	23.4 Results of Content Analysis
	23.5 Conclusions
	References
24 Web Scraping and Ethics in Automated Data Collection
	24.1 Introduction
	24.2 Data Collection—The Essential Part of Any Research
		24.2.1 First Party Data
		24.2.2 2nd & 3rd Party Data
	24.3 What is Web Scraping
		24.3.1 Usefulness of Web Scraping
		24.3.2 Methods and Techniques
	24.4 Legality and Ethics
		24.4.1 The Legal Aspect of Web Scraping
		24.4.2 Ethics in Web Scraping
	24.5 Conclusions
	References
25 Classical Machine-Learning Classifiers to Predict Employee Turnover
	25.1 Introduction
	25.2 Background
		25.2.1 A Machine-Learning Approach for Employee Turnover Prediction
		25.2.2 Evaluation of Machine-Learning Classifiers
		25.2.3 Machine Learning Models Implied in This Research
	25.3 Data Set
	25.4 Exploratory Data Analysis
	25.5 Predictive Analysis
		25.5.1 Logistic Regression
		25.5.2 Decision Tree and Random Forest
		25.5.3 Support Vector Machines
		25.5.4 Evaluation
	25.6 Conclusion and Future Work
	References
26 Assessing the Share of the Artificial Ad-Related Traffic: Some General Observations
	26.1 Introduction and Problem Formulation
	26.2 Feature Engineering
	26.3 Feature Analysis—A Case Study
	26.4 The Approaches Tested
	26.5 Building Classifiers—A Case Study
	26.6 Conclusions
	References
Part IV E-Society, Enterprise and Business Solutions
27 Experimental Results Regarding the Efficiency of Business Activities Through the Use of Chatbots
	27.1 Introduction
	27.2 Description and Comparison of Three Chatbot Models
		27.2.1 @tensiobot
		27.2.2 @dawebot
		27.2.3 @retosmoocbot
		27.2.4 Development Dimensions of the Described Applications
	27.3 Conclusions
	References
28 Agile Perspectives in Higher Education
	28.1 Introduction
	28.2 Research Methodology
	28.3 Literature Review
	28.4 Empirical Research
	28.5 Conclusion
	References
29 Digitalization of Business and Public Organizations—Communication Problems with IT Companies and Possible Solutions
	29.1 Introduction
	29.2 Conceptual Framework for the Management of Relationships Between Assignor Organizations and IT Companies
	29.3 Materials, Arguments, and Methodology
		29.3.1 Brief Description of the Methodology
		29.3.2 Review Results
	29.4 Conclusions
	References
30 An Assisted Instruction System Designed for Online Teaching and Learning
	30.1 Introduction
	30.2 Conceptual Framework
	30.3 Theoretical Framework
	30.4 Analytical Framework
	30.5 Conclusions
	References
31 Building Resilience Through Digital Transformation
	31.1 Resilience in Business: Relevance and Metrics
	31.2 Resilience Triggers and Leverages. Digital Transformation
	31.3 Proposed Framework for Addressing Resilience Through Digital Transformation
	31.4 Implementing the Proposed Framework. Strategies for Digital Transformation
	31.5 Conclusions
	References
32 Visual Tool for Stimulating Employee Intelligent Attitude
	32.1 Introduction
	32.2 Literature Review
	32.3 Research Scenario
	32.4 Statistical Analysis
	32.5 Conclusion
	References
33 Management Information Systems in Knowledge Society
	33.1 Introduction
	33.2 Evolution
	33.3 Typology
	33.4 Architectural Concepts
	33.5 Security, Control, and Audit
	33.6 Knowledge Society and Agile Development Age for Information Systems
	33.7 Conclusions
	References
34 Analyzing Business Performances with a Multicriteria Decision Method
	34.1 Introduction
		34.1.1 The Concept of Performance
	34.2 Performance Indicators
	34.3 Visual Promethee DSS
	34.4 Case Study
		34.4.1 Input Data
		34.4.2 Definition of Scenarios
		34.4.3 Promethee Ranking
	34.5 Conclusions
	References
35 Measuring Real Time Occupational Stress in Organizations via a Digitalized Risk Management App
	35.1 Context
		35.1.1 Research Problematic
		35.1.2 A Short Occupational Stress Questionnaire Based on Scientific Literature
		35.1.3 Questionnaire Construction
		35.1.4 Operating Modes Insights on How to Collect Data at Work
	35.2 Development Steps and Issues
		35.2.1 Narrative Timeline from Concept to Realization
	35.3 Actual Human Risk Module Implementation
	35.4 Conclusion and Further Research
	References
Author Index