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 xixAbout the Editors xxiList of Contributors xxiiiPreface xxxiii1 The Future of Business Management with the Power of Distributed Systems and Computing 1Venkateswararao Podile, Nitin Kulshrestha, Sushmita Goswami, Lavanya Durga, B. Rachanasree, T. Pavan Reddy, and P. Shreya Sarojini1.1 Introduction 11.2 Understanding Distributed Systems and Computing 21.3 Applications of Distributed Systems and Computing in Business Management 61.4 Limitations of Distributed Systems in Business Management 111.5 Future Developments and Opportunities 151.6 Conclusion 17References 182 Applications of Optimized Distributed Systems in Healthcare 21Ayush Thakur, Suruchi Verma, Nidhi Sindhwani, and Rashmi Vashisth2.1 Introduction 212.2 Literature Survey 232.3 Real Cases 322.4 Conclusion 34References 353 The Impact of Distributed Computing on Data Analytics and Business Insights 39Haider Mehraj, Vinay K. Nassa, A.S.K. Reddy, K.V.D. Sagar, Dilip K. Sharma, Shyamasundar Tripathy, and Franklin J. Selvaraj3.1 Introduction 393.2 Distributed Computing and Data Analytics 413.3 Business Insights and Decision-Making 453.4 Challenges and Limitations 473.5 The Impact of Distributed Computing on Data Analytics 483.6 Conclusion 50References 504 Machine Learning and Its Application in Educational Area 53Abhinav Tripathi, Yashasvi Singh, Arti Sharma, Ajay Kumar Shrivastava, and Saurabh Sharma4.1 Introduction 534.2 Previous Work 544.3 Technique 544.4 Analysis of Data 564.5 Educational Data Mining 564.6 Hadoop Approach 574.7 Artificial Neural Network (ANN) 584.8 Decision Tree 594.9 Results/Discussion 594.9.1 Personalized Learning Through Adaptive Learning 594.10 Increasing Efficiency Using Learning Analytics 604.11 Predictive Analysis for Better Assessment Evaluation 614.12 Future Scope 614.13 Conclusion 61References 625 Approaches and Methodologies for Distributed Systems: Threats, Challenges, and Future Directions 67Bhawna and Veena Parihar5.1 Introduction 675.2 Distributed Systems 685.3 Literature Review 695.4 Threats to Distributed Systems Security 705.5 Security Standards and Protocols 725.6 Network Security 735.7 Access Control 745.8 Authentication and Authorization 765.9 Privacy Concerns 785.10 Case Studies 795.11 Conclusion 805.12 Future Scope 81References 816 Efficient-driven Approaches Related to Meta-Heuristic Algorithms using Machine Learning Techniques 85Ashima Arya, Swasti Singhal, and Rashika Bangroo6.1 Introduction 856.2 Stochastic Optimization 866.3 Heuristic Search 896.4 Meta-Heuristic 906.5 Machine Learning 94References 997 Security and Privacy Issues in Distributed Healthcare Systems – A Survey 103Manish Bhardwaj, Samad Noeiaghdam, and Yu-Chen Hu7.1 Introduction 1037.2 Previous Study 1067.3 Security and Privacy Needs 1097.4 Security and Privacy Goals 1117.5 Type of Attacks in Distributed Systems 1147.6 Recommendations and Future Approaches 1167.7 Conclusion 117References 1188 Implementation and Analysis of the Proposed Model in a Distributed e-Healthcare System 123Manish Bhardwaj, Sanjiv Sharma, and Amit K. Gupta8.1 Introduction 1238.2 Outmoded Systems 1258.3 Distributed Systems 1268.4 Previous Work 1298.5 Service-Oriented Architecture of e-Healthcare 1318.6 Implementation of the Proposed Model 1338.7 Evaluation of the Proposed Model Performance 1348.8 Conclusion and Future Work 135References 1369 Leveraging Distributed Systems for Improved Educational Planning and Resource Allocation 141S. Durga, Priti Gupta, Latika Kharb, P.S. Ranjit, Venkata Harshavardhan Reddy Dornadula, Kali Charan Modak, and Geetha Manoharan9.1 Introduction 1419.2 Theoretical Framework 1449.3 Distribution System in Education 1489.4 Technical Aspects of Distributed Systems in Education 1499.5 Challenges and Limitations 1539.6 Discussion 1559.7 Conclusion 156References 15710 Advances in Education Policy Through the Integration of Distributed Computing Approaches 161W. Vinu, Luigi P.L. Cavaliere, K. Suresh Kumar, Y. Venkata Ramana, Kunjan Shah, Kapil Joshi, and Nadanakumar Vinayagam10.1 Introduction 16110.2 Distributed Computing Approaches 16410.3 Advances in Education Policy Through Distributed Computing Approaches 16710.4 Challenges: Privacy Concerns 17110.5 Conclusion 174References 17411 Revolutionizing Data Management and Security with the Power of Blockchain and Distributed System 177Radha R. Chandan, Fred Torres-Cruz, Ernesto N.T. Figueroa, Charles I. Mendoza-Mollocondo, Dharini R. Sisodia, Tanweer Alam, and Mohit Tiwari11.1 Introduction 17711.2 Blockchain Technology 17911.3 Distributed System 18211.4 Revolutionizing Data Management and Security with Blockchain and Distributed Systems 18411.5 Challenges of Using Blockchain and Distributed Systems 18611.6 Discussion 18711.7 Conclusion 188References 18812 Enhancing Business Development, Ethics, and Governance with the Adoption of Distributed Systems 193Aarti Dawra, K.K. Ramachandran, Debasis Mohanty, Jitendra Gowrabhathini, Brijesh Goswami, Dhyana S. Ross, and S. Mahabub Basha12.1 Introduction 19312.2 Applications of Distributed Systems in Business Development 19512.3 The Importance of Ethics in Distributed Systems 19812.4 Governance in Distributed Systems 20112.5 Conclusion 206References 20613 Leveraging Distribution Systems for Advanced Fraud Detection and Prevention in Finance 211Venkateswararao Podile, Satish M. Dhoke, Shouvik K. Guha, Frakruddin A. Ahmed, T.V.N.J.L. Haritha, V. Abhinav, and M. Anirudh13.1 Introduction 21113.2 Benefits of Distributed Systems 21313.3 Prevention Techniques 21513.4 Leveraging Distributed Systems for Fraud Detection and Prevention 22013.5 Future Directions 22313.6 Conclusion 225References 22514 Advances in E-commerce Through the Integration of Distributed Computing Approaches 229Venkateswararao Podile, K. Suresh Kumar, Luigi P.L. Cavaliere, Sri R.R. Annapureddy, Katakam V. Siva Praneeth, Kanamarlapudi P.S. Sabareesh, and Devati B. Sambasiva Rao14.1 Introduction 22914.2 Distributed Computing Approaches for E-commerce 23114.3 Integration of Distributed Computing Approaches in E-commerce 23314.4 Advancements in E-commerce Through the Integration of Distributed Computing Approaches 23614.5 Future Trends in the Integration of Distributed Computing Approaches in E-commerce 24014.6 Conclusion 241References 24215 The Impact of Distributed Computing on Online Shopping and Consumer Experience 245K. Suresh Kumar, Luigi P.L. Cavaliere, Mano A. Tripathi, T.S. Rajeswari, S.S.C. Mary, G.H.A. Vethamanikam, and Nadanakumar Vinayagam15.1 Introduction 24515.2 Benefits of Distributed Computing for Online Shopping 24815.3 Limitations of Distributed Computing in Online Shopping 25115.4 Impact of Distributed Computing on Online Shopping Trends 25415.5 Ethical Implications of Distributed Computing in Online Shopping 25615.6 Conclusion 257References 25716 Wireless Sensor-based IoT System with Distributed Optimization for Healthcare 261Rohit Anand, Digvijay Pandey, Deena N. Gupta, M.K. Dharani, Nidhi Sindhwani, and J.V.N. Ramesh16.1 Introduction 26116.2 Literature Review 27416.3 Challenges Faced by Existing Research 27816.4 Proposed Research Methodology 27816.5 Simulation of Research 27916.6 Conclusion 28316.7 Future Scope 283References 28417 Optimizing Financial Transactions and Processes Through the Power of Distributed Systems 289K. Bhavana Raj, Kamakshi Mehta, Someshwar Siddi, M.K. Sharma, Dilip K. Sharma, Sunil Adhav, and José L.A. Gonzáles17.1 Introduction 28917.2 Overview of Financial Transactions and Processes 29017.3 Distributed Systems in Finance 29217.4 Blockchain Technology and Finance 29517.5 Smart Contracts 29717.6 Conclusion 299References 30018 Leveraging Distributed Systems for Improved Market Intelligence and Customer Segmentation 305Luigi P.L. Cavaliere, K. Suresh Kumar, Dilip K. Sharma, Himanshu Sharma, Sujay M. Jayadeva, Makarand Upadhyaya, and Nadanakumar Vinayagam18.1 Introduction 30518.2 Distributed Systems for Customer Segmentation 30918.3 Distributed Systems for Market Intelligence 31018.4 Distributed Systems for Customer Segmentation 31118.5 Challenges in Integrating Distribution System in Market Intelligence 31218.6 Conclusion 316References 31719 The Future of Financial Crime Prevention and Cybersecurity with Distributed Systems and Computing Approaches 321Veer B.P. Singh, Pratibha Singh, Shouvik K. Guha, Asif I. Shah, Abdullah Samdani, M.Z.M. Nomani, and Mohit Tiwari19.1 Introduction 32119.2 Distributed Systems and Computing Approaches for Financial Crime Prevention and Cybersecurity 32619.3 Challenges and Opportunities in Implementing Distributed Systems and Computing Approaches 33019.4 Benefits of Distributed Systems in Financial Crime Prevention 33519.5 Limitations of Distributed Systems in Financial Crime Prevention 33519.6 Conclusion 336References 33720 Innovations in Distributed Computing for Enhanced Risk Management in Finance 341Venkateswararao Podile, Syed M. Faisal, Gangu N. Mandala, Shaik Altaf , Nayana Harshitha, Cheedella A.S. Lakshmi, and Chunduru R. Chandan20.1 Introduction 34120.2 Theoretical Framework 34320.3 Comparison of Distributed Computing Approaches for Finance Risk Management 34520.4 Innovations in Distributed Computing for Enhanced Risk Management in Finance 34520.5 Challenges and Limitations of Distributed Computing for Finance Risk Management 34820.6 Future Directions 35020.7 Conclusion 353References 35421 Leveraging Blockchain and Distributed Systems for Improved Supply Chain Traceability and Transparency 359Luigi P.L. Cavaliere, S. Silas Sargunam, Dilip K. Sharma, Y. Venkata Ramana, K.K. Ramachandran, Umakant B. Gohatre, and Nadanakumar Vinayagam21.1 Introduction 35921.2 Overview of Blockchain and Distributed Systems 36221.3 Applications of Blockchain and Distributed Systems in Supply Chain 36521.4 Benefits and Limitations of Blockchain and Distributed Systems in Supply Chain 36821.5 Conclusion 371References 37122 Advances in Resource Management Through the Integration of Distributed Computing Approaches 375K. Jayalakshmamma Veena P. Vemuri, Elena Y. Zegarra, Jitendra Gowrabhathini, Fred Torres-Cruz, Julio C.L. Huanca, and José L.A. Gonzáles22.1 Introduction 37522.2 Distributed Computing Approaches for Resource Management 37722.3 Integration of Distributed Computing Approaches for Resource Management 38122.4 Future Directions and Research Challenges 38422.5 Discussion 38822.6 Conclusion 389References 390Index 395