Meta-Heuristic Algorithms for Advanced Distributed Systems

Rohit Anand, PhD, is an Assistant Professor in the Department of Electronics and Communication Engineering at G. B. Pant DSEU Okhla-1 Campus (formerly G. B. Pant Engineering College), Government of NCT of Delhi, New Delhi, India. He has more than 21 years of teaching experience. He is a Life Member of the Indian Society for Technical Education (ISTE) and holds 4 patents. Abhinav Juneja, PhD, is a Professor at the KIET Group of Institutions, Ghaziabad, India. He has also worked as Associate Director and Professor at BMIET, Sonepat, India. He has more than 20 years of teaching experience. Digvijay Pandey, PhD, works in the Department of Technical Education, Kanpur, Government of Uttar Pradesh, India. He has more than 12 years of experience in the fields of industry and teaching. He holds 5 patents. Sapna Juneja, PhD, is a Professor in the KIET Group of Institutions, Ghaziabad, India. She has more than 17 years of teaching experience. Nidhi Sindhwani, PhD, is an Assistant Professor in Amity Institute of Information Technology, Amity University, Noida, India. She has more than 17 years of teaching experience. She is a Life Member of the ISTE and a Member of IEEE. She holds 4 patents.

About the Book xix

About the Editors xxi

List of Contributors xxiii

Preface xxxiii

1 The Future of Business Management with the Power of Distributed Systems and Computing 1
Venkateswararao Podile, Nitin Kulshrestha, Sushmita Goswami, Lavanya Durga, B. Rachanasree, T. Pavan Reddy, and P. Shreya Sarojini

1.1 Introduction 1

1.2 Understanding Distributed Systems and Computing 2

1.3 Applications of Distributed Systems and Computing in Business Management 6

1.4 Limitations of Distributed Systems in Business Management 11

1.5 Future Developments and Opportunities 15

1.6 Conclusion 17

References 18

2 Applications of Optimized Distributed Systems in Healthcare 21
Ayush Thakur, Suruchi Verma, Nidhi Sindhwani, and Rashmi Vashisth

2.1 Introduction 21

2.2 Literature Survey 23

2.3 Real Cases 32

2.4 Conclusion 34

References 35

3 The Impact of Distributed Computing on Data Analytics and Business Insights 39
Haider Mehraj, Vinay K. Nassa, A.S.K. Reddy, K.V.D. Sagar, Dilip K. Sharma, Shyamasundar Tripathy, and Franklin J. Selvaraj

3.1 Introduction 39

3.2 Distributed Computing and Data Analytics 41

3.3 Business Insights and Decision-Making 45

3.4 Challenges and Limitations 47

3.5 The Impact of Distributed Computing on Data Analytics 48

3.6 Conclusion 50

References 50

4 Machine Learning and Its Application in Educational Area 53
Abhinav Tripathi, Yashasvi Singh, Arti Sharma, Ajay Kumar Shrivastava, and Saurabh Sharma

4.1 Introduction 53

4.2 Previous Work 54

4.3 Technique 54

4.4 Analysis of Data 56

4.5 Educational Data Mining 56

4.6 Hadoop Approach 57

4.7 Artificial Neural Network (ANN) 58

4.8 Decision Tree 59

4.9 Results/Discussion 59

4.9.1 Personalized Learning Through Adaptive Learning 59

4.10 Increasing Efficiency Using Learning Analytics 60

4.11 Predictive Analysis for Better Assessment Evaluation 61

4.12 Future Scope 61

4.13 Conclusion 61

References 62

5 Approaches and Methodologies for Distributed Systems: Threats, Challenges, and Future Directions 67
Bhawna and Veena Parihar

5.1 Introduction 67

5.2 Distributed Systems 68

5.3 Literature Review 69

5.4 Threats to Distributed Systems Security 70

5.5 Security Standards and Protocols 72

5.6 Network Security 73

5.7 Access Control 74

5.8 Authentication and Authorization 76

5.9 Privacy Concerns 78

5.10 Case Studies 79

5.11 Conclusion 80

5.12 Future Scope 81

References 81

6 Efficient-driven Approaches Related to Meta-Heuristic Algorithms using Machine Learning Techniques 85
Ashima Arya, Swasti Singhal, and Rashika Bangroo

6.1 Introduction 85

6.2 Stochastic Optimization 86

6.3 Heuristic Search 89

6.4 Meta-Heuristic 90

6.5 Machine Learning 94

References 99

7 Security and Privacy Issues in Distributed Healthcare Systems – A Survey 103
Manish Bhardwaj, Samad Noeiaghdam, and Yu-Chen Hu

7.1 Introduction 103

7.2 Previous Study 106

7.3 Security and Privacy Needs 109

7.4 Security and Privacy Goals 111

7.5 Type of Attacks in Distributed Systems 114

7.6 Recommendations and Future Approaches 116

7.7 Conclusion 117

References 118

8 Implementation and Analysis of the Proposed Model in a Distributed e-Healthcare System 123
Manish Bhardwaj, Sanjiv Sharma, and Amit K. Gupta

8.1 Introduction 123

8.2 Outmoded Systems 125

8.3 Distributed Systems 126

8.4 Previous Work 129

8.5 Service-Oriented Architecture of e-Healthcare 131

8.6 Implementation of the Proposed Model 133

8.7 Evaluation of the Proposed Model Performance 134

8.8 Conclusion and Future Work 135

References 136

9 Leveraging Distributed Systems for Improved Educational Planning and Resource Allocation 141
S. Durga, Priti Gupta, Latika Kharb, P.S. Ranjit, Venkata Harshavardhan Reddy Dornadula, Kali Charan Modak, and Geetha Manoharan

9.1 Introduction 141

9.2 Theoretical Framework 144

9.3 Distribution System in Education 148

9.4 Technical Aspects of Distributed Systems in Education 149

9.5 Challenges and Limitations 153

9.6 Discussion 155

9.7 Conclusion 156

References 157

10 Advances in Education Policy Through the Integration of Distributed Computing Approaches 161
W. Vinu, Luigi P.L. Cavaliere, K. Suresh Kumar, Y. Venkata Ramana, Kunjan Shah, Kapil Joshi, and Nadanakumar Vinayagam

10.1 Introduction 161

10.2 Distributed Computing Approaches 164

10.3 Advances in Education Policy Through Distributed Computing Approaches 167

10.4 Challenges: Privacy Concerns 171

10.5 Conclusion 174

References 174

11 Revolutionizing Data Management and Security with the Power of Blockchain and Distributed System 177
Radha R. Chandan, Fred Torres-Cruz, Ernesto N.T. Figueroa, Charles I. Mendoza-Mollocondo, Dharini R. Sisodia, Tanweer Alam, and Mohit Tiwari

11.1 Introduction 177

11.2 Blockchain Technology 179

11.3 Distributed System 182

11.4 Revolutionizing Data Management and Security with Blockchain and Distributed Systems 184

11.5 Challenges of Using Blockchain and Distributed Systems 186

11.6 Discussion 187

11.7 Conclusion 188

References 188

12 Enhancing Business Development, Ethics, and Governance with the Adoption of Distributed Systems 193
Aarti Dawra, K.K. Ramachandran, Debasis Mohanty, Jitendra Gowrabhathini, Brijesh Goswami, Dhyana S. Ross, and S. Mahabub Basha

12.1 Introduction 193

12.2 Applications of Distributed Systems in Business Development 195

12.3 The Importance of Ethics in Distributed Systems 198

12.4 Governance in Distributed Systems 201

12.5 Conclusion 206

References 206

13 Leveraging Distribution Systems for Advanced Fraud Detection and Prevention in Finance 211
Venkateswararao Podile, Satish M. Dhoke, Shouvik K. Guha, Frakruddin A. Ahmed, T.V.N.J.L. Haritha, V. Abhinav, and M. Anirudh

13.1 Introduction 211

13.2 Benefits of Distributed Systems 213

13.3 Prevention Techniques 215

13.4 Leveraging Distributed Systems for Fraud Detection and Prevention 220

13.5 Future Directions 223

13.6 Conclusion 225

References 225

14 Advances in E-commerce Through the Integration of Distributed Computing Approaches 229
Venkateswararao Podile, K. Suresh Kumar, Luigi P.L. Cavaliere, Sri R.R. Annapureddy, Katakam V. Siva Praneeth, Kanamarlapudi P.S. Sabareesh, and Devati B. Sambasiva Rao

14.1 Introduction 229

14.2 Distributed Computing Approaches for E-commerce 231

14.3 Integration of Distributed Computing Approaches in E-commerce 233

14.4 Advancements in E-commerce Through the Integration of Distributed Computing Approaches 236

14.5 Future Trends in the Integration of Distributed Computing Approaches in E-commerce 240

14.6 Conclusion 241

References 242

15 The Impact of Distributed Computing on Online Shopping and Consumer Experience 245
K. Suresh Kumar, Luigi P.L. Cavaliere, Mano A. Tripathi, T.S. Rajeswari, S.S.C. Mary, G.H.A. Vethamanikam, and Nadanakumar Vinayagam

15.1 Introduction 245

15.2 Benefits of Distributed Computing for Online Shopping 248

15.3 Limitations of Distributed Computing in Online Shopping 251

15.4 Impact of Distributed Computing on Online Shopping Trends 254

15.5 Ethical Implications of Distributed Computing in Online Shopping 256

15.6 Conclusion 257

References 257

16 Wireless Sensor-based IoT System with Distributed Optimization for Healthcare 261
Rohit Anand, Digvijay Pandey, Deena N. Gupta, M.K. Dharani, Nidhi Sindhwani, and J.V.N. Ramesh

16.1 Introduction 261

16.2 Literature Review 274

16.3 Challenges Faced by Existing Research 278

16.4 Proposed Research Methodology 278

16.5 Simulation of Research 279

16.6 Conclusion 283

16.7 Future Scope 283

References 284

17 Optimizing Financial Transactions and Processes Through the Power of Distributed Systems 289
K. Bhavana Raj, Kamakshi Mehta, Someshwar Siddi, M.K. Sharma, Dilip K. Sharma, Sunil Adhav, and José L.A. Gonzáles

17.1 Introduction 289

17.2 Overview of Financial Transactions and Processes 290

17.3 Distributed Systems in Finance 292

17.4 Blockchain Technology and Finance 295

17.5 Smart Contracts 297

17.6 Conclusion 299

References 300

18 Leveraging Distributed Systems for Improved Market Intelligence and Customer Segmentation 305
Luigi P.L. Cavaliere, K. Suresh Kumar, Dilip K. Sharma, Himanshu Sharma, Sujay M. Jayadeva, Makarand Upadhyaya, and Nadanakumar Vinayagam

18.1 Introduction 305

18.2 Distributed Systems for Customer Segmentation 309

18.3 Distributed Systems for Market Intelligence 310

18.4 Distributed Systems for Customer Segmentation 311

18.5 Challenges in Integrating Distribution System in Market Intelligence 312

18.6 Conclusion 316

References 317

19 The Future of Financial Crime Prevention and Cybersecurity with Distributed Systems and Computing Approaches 321
Veer B.P. Singh, Pratibha Singh, Shouvik K. Guha, Asif I. Shah, Abdullah Samdani, M.Z.M. Nomani, and Mohit Tiwari

19.1 Introduction 321

19.2 Distributed Systems and Computing Approaches for Financial Crime Prevention and Cybersecurity 326

19.3 Challenges and Opportunities in Implementing Distributed Systems and Computing Approaches 330

19.4 Benefits of Distributed Systems in Financial Crime Prevention 335

19.5 Limitations of Distributed Systems in Financial Crime Prevention 335

19.6 Conclusion 336

References 337

20 Innovations in Distributed Computing for Enhanced Risk Management in Finance 341
Venkateswararao Podile, Syed M. Faisal, Gangu N. Mandala, Shaik Altaf , Nayana Harshitha, Cheedella A.S. Lakshmi, and Chunduru R. Chandan

20.1 Introduction 341

20.2 Theoretical Framework 343

20.3 Comparison of Distributed Computing Approaches for Finance Risk Management 345

20.4 Innovations in Distributed Computing for Enhanced Risk Management in Finance 345

20.5 Challenges and Limitations of Distributed Computing for Finance Risk Management 348

20.6 Future Directions 350

20.7 Conclusion 353

References 354

21 Leveraging Blockchain and Distributed Systems for Improved Supply Chain Traceability and Transparency 359
Luigi P.L. Cavaliere, S. Silas Sargunam, Dilip K. Sharma, Y. Venkata Ramana, K.K. Ramachandran, Umakant B. Gohatre, and Nadanakumar Vinayagam

21.1 Introduction 359

21.2 Overview of Blockchain and Distributed Systems 362

21.3 Applications of Blockchain and Distributed Systems in Supply Chain 365

21.4 Benefits and Limitations of Blockchain and Distributed Systems in Supply Chain 368

21.5 Conclusion 371

References 371

22 Advances in Resource Management Through the Integration of Distributed Computing Approaches 375
K. Jayalakshmamma Veena P. Vemuri, Elena Y. Zegarra, Jitendra Gowrabhathini, Fred Torres-Cruz, Julio C.L. Huanca, and José L.A. Gonzáles

22.1 Introduction 375

22.2 Distributed Computing Approaches for Resource Management 377

22.3 Integration of Distributed Computing Approaches for Resource Management 381

22.4 Future Directions and Research Challenges 384

22.5 Discussion 388

22.6 Conclusion 389

References 390

Index 395