Creative Approaches Towards Development of Computing and Multidisciplinary IT Solutions for Society

This book containing 33 chapters provides an insightful look at creative approaches toward the accelerated development of computing and multidisciplinary IT solutions for society. Technology is advancing on all fronts and is opening new and innovative adaptations to our modern world every single day...

Descripción completa

Detalles Bibliográficos
Autor principal:	Bijalwan, Anchit (-)
Otros Autores:	Bennett, Rick, G. B., Jyotsna, Mohanty, Sachi Nandan
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Newark : John Wiley & Sons, Incorporated 2024.
Edición:	1st ed
Materias:	Computer science.
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009852334306719

Tabla de Contenidos:

Cover
Series Page
Title Page
Copyright Page
Contents
Preface
Part 1: Emerging Research in Next Generation Computing Like Cloud Computing, Cybersecurity, and Gaming
Chapter 1 Deploying Virtual Desktop Infrastructure with Open-Source Platform for Higher Education
1.1 Introduction
1.2 Background
1.2.1 Cloud Computing
1.2.2 Virtualization
1.3 VDI Deployment Using CloudStack as a Private Cloud
1.4 Deploy at Information Technology Laboratories
1.5 Conclusion
References
Chapter 2 Enhancing Intrusion Detection Effectiveness Through an Enhanced Hierarchical Communication Architecture
2.1 Introduction
2.2 Related Works
2.3 Proposed Model
2.4 Analysis
2.5 Conclusion
References
Chapter 3 Enhanced SDN Security Using Mobile Agent
3.1 Introduction
3.1.1 Introduction to SDN
3.1.2 SDN Compared to Conventional Networking
3.2 Network Security in SDN
3.2.1 Vulnerabilities in SDN
3.2.2 Threats on SDN
3.3 Enhanced SDN Network Security Using Mobile Agent
3.3.1 Cloud Network Management Mobile Agent (CNMMA) Architecture Model
3.3.2 Mobile Agent Platform (MAP)
3.3.3 Network Management Mobile Agent
3.3.4 Mobile Agent Distributed Intrusion Detection System Framework (MA-DIDS)
3.3.4.1 IDS-Control Center
3.3.4.2 Mobile Agent SDN Control App
3.3.5 SDN Network Simulator
3.4 Conclusions
References
Chapter 4 Understanding the Impact and Implications of Emagnet and Pastebin in Cybersecurity
4.1 Introduction
4.1.1 Background of Emagnet and Pastebin
4.1.2 Importance of the Research
4.1.2.1 Research Questions
4.2 Literature Review
4.2.1 Evolution of Pastebin as a Platform for Hacker Exploits
4.2.1.1 Emagnet's Capabilities and Functionalities
4.3 Leaked Databases
4.4 Methodology
4.4.1 Emagnet
4.4.2 Key Features and Known Issues.
4.4.3 How Emagnet Works
4.4.4 Installation and Platform Requirements
4.4.5 Emagnet Usage Options
4.4.6 Key Features and Benefits
4.4.7 Our Review
4.4.8 Pastebin
4.4.9 Pastebin's Dark Side
4.4.10 The Need for Vigilance
4.4.11 Leveraging Authentic8 Flash Report
4.4.12 The Role of Silo for Research
4.4.13 Our Implementation Case Study
4.4.14 Our Review
4.5 Countermeasures and Best Practices
4.5.1 Strategies for Individuals and Organizations
4.5.2 Strengthening Password Security and Promoting 2FA
4.5.3 Responsible Vulnerability Disclosure
4.6 Recommendations and Future Directions
4.6.1 Developing Effective Policies
4.6.2 Enhancing Collaboration Between Stakeholders
4.6.3 Raising Awareness Among Users
4.6.4 Predicting Future Trends and Challenges
4.7 Conclusion
References
Chapter 5 Mitigating the Threat of Multi-Factor Authentication (MFA) Bypass Through Man-in-the-Middle Attacks Using EvilGinx2
5.1 Introduction
5.1.1 Background and Significance of MFA in Enhancing Account Security
5.1.2 Overview of the Research Topic and the Use of EvilGinx2 for MFA Bypass
5.1.3 Research Objectives and Research Questions
5.2 Literature Review
5.2.1 Overview of MFA and its Effectiveness in Preventing Unauthorized Access
5.2.2 Previous Research on MFA Vulnerabilities and Bypass Techniques
5.2.3 Case Studies
5.3 Methodology
5.3.1 Description of Experimental Setup and Environment
5.3.2 Demonstration of EvilGinx2's Functionality and Operation
5.4 Results and Discussion
5.4.1 Evaluation of EvilGinx2's Ability to Bypass MFA Protections
5.4.2 Analysis of Captured Authentication Data, Including Usernames, Passwords, and Cookies
5.4.3 Discussion of the Effectiveness of the MFA Bypass Technique.
5.4.4 Identification of Potential Vulnerabilities and Areas of Improvement
5.5 Conclusion
5.5.1 Summary of the Research Objectives and Main Findings
5.5.2 Contribution to the Field of Cybersecurity and MFA Protection
5.5.3 Implications for Organizations and Recommendations for Future Research
References
Chapter 6 Implementation of Rule-Based DDoS Solution in Software-Defined Network
6.1 Introduction
6.2 Background Study
6.2.1 Software-Defined Network (SDN)
6.2.2 Software-Defined Architecture
6.2.2.1 Application Layer
6.2.2.2 Control Layer
6.2.2.3 Data Layer
6.2.3 OpenFlow Protocol
6.2.4 Flow Table
6.2.5 Advantages of SDN
6.2.6 Vulnerabilities of SDN and OpenFlow
6.2.6.1 SYN Flag DDoS Attacks in SDN
6.2.6.2 Three-Way Handshake in TCP Protocol
6.3 Critical Literature Review
6.3.1 Machine Learning-Based Mitigation
6.3.1.1 Limitations of Machine Learning-Based Approach
6.3.2 Statistical-Based Mitigation
6.3.2.1 Limitations of Statistical-Based Approach
6.3.3 Rule-Based Mitigation
6.3.3.1 Limitations of Rule-Based Approach
6.4 Methodologies
6.4.1 System Configuration
6.4.2 Static Threshold Rule-Based Approach
6.4.3 Testing
6.5 Results and Discussion
6.5.1 Reflection and Future Scope
6.6 Conclusion
References
Chapter 7 Securing Network Data with a Novel Encryption Scheme
7.1 Introduction
7.2 Related Work
7.3 Proposed System and Methodology
7.3.1 Advanced Encryption Standards (AES)
7.3.2 RSA Public-Key Encryption
7.4 Results and Discussion
7.4.1 Result Analysis
7.4.1.1 CRC Generation Time
7.4.1.2 Encryption Time
7.4.1.3 Decryption Time
7.4.1.4 CRC Checker Time
7.4.1.5 CRC Generation Memory
7.4.1.6 Encryption Memory
7.4.1.7 CRC Checker Memory
7.4.1.8 Decryption Memory
7.4.1.9 Error Detection Capability.
7.5 Conclusion and Future Works
References
Chapter 8 A Robust Authentication Technique for Client-Server Secure Login
8.1 Introduction
8.2 Preliminary Concept
8.2.1 Cryptography
8.2.2 Symmetric Key Algorithms
8.2.3 Asymmetric Key Algorithms
8.2.4 Hash Function
8.2.5 Key Exchange
8.3 Related Work
8.3.1 Transport Layer Security (TLS) Protocol
8.3.2 Kerberos
8.3.3 Secure Remote Password (SRP) Protocol
8.3.4 OAuth
8.3.5 Mutual Authentication
8.4 Proposed Technique
8.4.1 Key-Generation Phase
8.4.2 Registration Phase
8.4.3 Login Phase
8.4.4 Principles of the Algorithm
8.5 Implementation
8.6 Discussion
8.6.1 Security Analysis
8.6.2 Security Features and Performance Comparison
8.7 Conclusion
References
Chapter 9 Application of a Web-Based Food Ordering Platform to Minimize Food Wastage and Prevent Theft
9.1 Introduction
9.1.1 Background
9.1.2 The Food Wastage Issues in Cafeterias
9.1.3 Overcrowding and Long Queues in Cafeteria
9.1.4 Theft and Delivery Assurance
9.1.5 Scalability of Cafeteria Operations
9.1.6 Lack of Use of Technology in School Cafeteria
9.1.7 Problems with Traditional Software Architecture
9.2 Literature Review
9.2.1 The Current Food Wastage Problem in Cafeterias
9.2.2 Identifying Gaps to Overcome Overcrowding Issues in Cafeteria
9.2.2.1 Similar Food Ordering Solutions
9.2.3 Research Gaps
9.3 Methodology
9.3.1 Introduction
9.3.2 Feature Requirements
9.3.3 System Architecture Requirements
9.3.4 Technical Requirements
9.3.5 Infrastructure Design
9.3.6 Software Architecture
9.3.7 IoT Integrations
9.3.8 Database Schema
9.4 Discussion
9.4.1 Advantages
9.4.2 Limitations
9.4.3 Comparison to Other Implementations
9.5 Conclusion
References
Part 2: IT in the Textile Industry.
Chapter 10 Research Design Machine Maintenance Management Software Module for Garment Industry
10.1 Introduction
10.2 Building a Maintenance Process for Garment Industry Machine
10.2.1 Maintenance Process for Machinery
10.2.2 Information in the Maintenance Management Machine Records
10.3 Designing a "Machine Maintenance Management" Software Module
10.3.1 Database Design
10.3.2 Designing a "Machine Maintenance Management" Software Module
10.4 Conclusion
References
Part 3: Adoption of ICT for Digitalization, Artificial Intelligence, and Machine Learning
Chapter 11 Performance Comparison of Prediction of a Hydraulic Jump Depth in a Channel Using Various Machine Learning Models
Nomenclature
11.1 Introduction
11.2 Related Works
11.3 Materials and Methods
11.3.1 Equation of the Hydraulic Jump
11.3.2 Data Used in the Study
11.4 Machine Learning Models
11.4.1 Features of Machine Learning Models
11.4.2 Support Vector Machine (SVM)
11.4.3 Decision Tree (DT)
11.4.4 Random Forest (RF)
11.4.5 Artificial Neural Network (ANN)
11.5 Results and Discussion
11.6 Conclusions
References
Chapter 12 Creating a Video from Facial Image Using Conditional Generative Adversarial Network
12.1 Introduction
12.2 Related Works
12.3 Methodology
12.3.1 The Proposed Model
12.3.2 Conditional Generative Adversarial Network (cGAN)
12.3.3 Hidden Affine Transformation
12.4 Experiments
12.4.1 Dataset
12.4.2 Dlib
12.4.3 Evaluation
12.4.4 Result
12.5 Conclusion
References
Chapter 13 Deep Learning Framework for Detecting, Classifying, and Recognizing Invoice Metadata
13.1 Introduction
13.2 Related Works
13.3 Invoice Data Analysis
13.4 Proposed Method
13.5 Experiments
13.6 Conclusion and Perspectives
References.
Chapter 14 Artificial Neural Network-Based Approach for Molecular Bitter Prediction.

Creative Approaches Towards Development of Computing and Multidisciplinary IT Solutions for Society

Ejemplares similares