PRIVACY PRESERVATION of GENOMIC and MEDICAL DATA Discusses topics concerning the privacy preservation of genomic data in the digital era, including data security, data standards, and privacy laws so that researchers in biomedical informatics, computer privacy and ELSI can assess the latest advances in
privacy-preserving techniques for the protection of human genomic data.
Privacy Preservation of Genomic and Medical Data focuses on genomic data sources, analytical tools, and the importance of privacy preservation. Topics discussed include tensor flow and Bio-Weka, privacy laws, HIPAA, and other emerging technologies like Internet of Things, IoT-based cloud environments, cloud computing, edge computing, and blockchain technology for smart applications. The book starts with an introduction to genomes, genomics, genetics, transcriptomes, proteomes, and other basic concepts of modern molecular biology. DNA sequencing methodology, DNA-binding proteins, and other related terms concerning genomes and genetics, and the privacy issues are discussed in detail. The book also focuses on genomic data sources, analyzing tools, and the importance of privacy preservation. It concludes with future predictions for genomic and genomic privacy, emerging technologies, and applications.
Audience
Researchers in information technology, data mining, health informatics and health technologies, clinical informatics, bioinformatics, security and privacy in healthcare, as well as health policy developers in public and private health departments and public health.
Preface xix Acknowledgements xxi Part 1: Fundamentals 1 1 Introduction to Genomics and Genetics 3 Mahreen Fatima, Sana Zia, Maheen Murtaza, Asyia Shafique, Afshan Muneer, Junaid Sattar, Muhammad Ashir Nabeel and Amjad Islam Aqib 1.1 Introduction 4 1.2 Hub of Genomics 4 1.3 Genome Sequencing Methods 7 1.4 Variation of Genome Sequencing 9 1.5 Diseases and Disorders 10 1.6 Future Prospects 13 1.7 Conclusion 14 2 An Overview of Genomics and Frontiers in Genetics for Smart Era 19 Saagar Bafna, Akash Shedage, Amber Agarwal, Somya Rakesh Goyal and Istiaque Ahmed 2.1 Introduction 19 2.2 Application of Genomes—The Frontiers in Genetics 21 2.3 Genomics in Military 27 2.4 Genomics in Medicine 29 2.5 International Projects 33 2.6 Case Study 37 2.7 Conclusion 41 3 Technical Trends in Public Healthcare and Medical Engineering 45 Asha Rani Mishra, Amrita Rai, Mohd Dayem Ansari and Ritesh Pratap Singh 3.1 Introduction 46 3.2 Background Work 47 3.3 Current Scenario of Public Healthcare System and Medical Engineering 56 3.4 Role of AI in Healthcare 58 3.5 Technological Analysis for Healthcare System and Medical Engineering 60 3.6 Future Aspects of AI in Healthcare and Medical Engineering 65 3.7 Conclusion 68 3.8 Future Aspect 69 4 Role of Genomics in Smart Era and Its Application in COVID-19 73 Sunil Kumar and Biswajit R. Bhowmik 4.1 Introduction 74 4.2 Basics of Genomics 76 4.3 Evolution of Genomics 80 4.4 Characteristics of Genomics and DNA Computing 83 4.5 Types of Genomics 84 4.6 Application Area of Genomics 88 4.7 Application of DNA Computing 92 4.8 Genomics and DNA Computing in COVID-19 Epidemic 93 4.9 Issues in Genomics and DNA Computing 96 4.10 Tools and Technology Used in Genomics Systems 97 4.11 Role of AI Technology Used in Genomics Systems 98 4.12 Related Works and Challenges 99 4.13 Future Research Dimension 108 4.14 Conclusion 108 Part 2: Methods and Applications 113 5 Novel Cutting-Edge Security Tools for Medical and Genomic Data With Privacy Preservation Techniques 115 A. Rehash Rushmi Pavitra, I. Daniel Lawrence, J. Sarojini Premalatha, P. Kalaiselvi, D. Jena Catherine Bel, C. Esther, G.B. Zionna Sen and G. Gomathy 5.1 Introduction 116 5.2 Background of Genomic 117 5.3 Literature Review 120 5.4 Highlights of the Proposed Methodologies 122 5.5 Results and Discussion 126 5.6 Conclusion 127 6 Genomic Data Analysis With Optimized Convolutional Neural Network (CNN) for Edge Applications 131 Sneha Venkateshalu, Santosh Deshpande and Bharathi Pannyagol 6.1 Introduction 132 6.2 Related Work 135 6.3 Proposed Methodology 140 6.4 Conclusion 147 7 Real-World Estimation of Malaria Prevalence From Genome of Vectors and Climate Analysis 151 Ashvath Narayanan C., Pavitra Vasudevan, Maheswari R., Parvathi R. and Pattabiraman V. 7.1 Introduction 152 7.2 Significance of Estimation of Malaria Prevalence From Genome of Vectors and Climate Analysis 154 7.3 Proposed Methodology 159 7.4 Conclusion 167 8 Revolutionalizing Internet of Medical Things for Blockchain-Based 5G Healthcare Security and Privacy for Genomic Data 171 Shyam Mohan J. S., Guddeti Theekshana and Guddeti Likhit Kumar Reddy 8.1 Introduction 172 8.2 Internet of Things in Healthcare and Medical Applications (IoMT) 173 8.3 Limitations of Existing Technologies in Healthcare Applications 176 8.4 Solving Healthcare Problems Using BCT 177 8.5 Proposed Model for 5G Healthcare 178 8.6 Experimental Setup and Discussion 181 8.7 Results 182 8.8 Conclusion 185 9 Preserve Privacy-HD: A Privacy-Preserving Distributed Framework for Health Data 189 Aswathy Ravikumar and Harini Sriraman 9.1 Introduction 189 9.2 Organization of Chapter 194 9.3 Related Work 194 9.4 Proposed Methodology 195 9.5 Complexity Analysis 206 9.6 Conclusion 209 Part 3: Future-Based Applications 213 10 Decision and Recommendation System Services for Patient Using Artificial Intelligence 215 Arjun Tandon, Raghav Dangey, Anand Kumar Mishra, G. Balamurugan and Amit Kumar Tyagi 10.1 Introduction 216 10.2 Literature Review 219 10.3 Proposed Methodology 225 10.4 Implementation and Results Analysis 232 10.5 Results and Discussion 233 10.6 Conclusion 236 11 MPHDRDNN: Meticulous Presaging of Heart Disease by Regularized DNN Through GUI 243 Ritu Aggarwal and Suneet Kumar 11.1 Introduction 244 11.2 Literature Study 244 11.3 Proposed Methodology 246 11.4 Performance Evaluation Metrics 252 11.5 Results and Implementation Process for Building a GUI 257 11.6 Conclusion and Future Scope 259 12 Techniques for Removing Hair From Dermoscopic Images: A Survey of Current Approaches 263 Ranjita Rout, Priyadarsan Parida, Sonali Dash and Sandipan Mallik 12.1 Introduction 264 12.2 Inpainting Techniques Used for Hair Removal From Dermoscopic Images 265 12.3 Hair Removal Approaches From Dermoscopic Images 267 12.4 Results and Discussion 274 12.5 Conclusion 278 13 The Emergence of Blockchain Technology in Industrial Revolution 5.0 283 Meenu Gupta, Chetanya Ved, Saransh Khetarpaul, Anmol Dhingra and Sanjana Deswal 13.1 Introduction 284 13.2 Literature Survey 285 13.3 Evolution of Web Technology in Association With Blockchain 290 13.4 Understanding of Basic Key Terminologies 293 13.5 Industrial Components Associated With Blockchain 298 13.6 Contribution of Blockchain for Revolutionizing Industrial Aspects 302 13.7 Transformation of Industrial Sectors by Blockchain 311 13.8 Economical Impact Analysis of Blockchain Over Each Industry 320 13.9 Conclusion 323 14 Cervical Cancer Detection Using Big Data Analytics and Their Comparative Analysis 327 V. Lakshmi Narasimhan and W. Tumisang Zaphaniah 14.1 Introduction 327 14.2 Related Literature 329 14.3 Machine Learning Algorithms Used 330 14.4 Description of the Dataset 335 14.5 Parameter Specification on the ANNs 341 14.6 Analysis of Results 342 14.7 Conclusions 357 15 Smart Walking Stick for Visually Impaired People 361 Dhilip Karthik M., Rizwan Mohamed Kareem, Nisha V. M. and Sajidha S. A. 15.1 Introduction 361 15.2 Related Work 365 15.3 System Architecture 372 15.4 Conclusion 378 Part 4: Issues and Challenges 383 16 Enhanced Security Measures in Genomic Data Management 385 Ambika N. 16.1 Introduction 386 16.2 Literature Survey 387 16.3 Background 399 16.4 Proposed Model 400 16.5 Analysis of the Work 403 16.6 Future Work 405 16.7 Conclusion 405 17 Industry 5.0: Potentials, Issues, Opportunities, and Challenges for Society 5.0 409 Amit Kumar Tyagi, R. Lakshmi Priya, Anand Kumar Mishra and G. Balamurugan 17.1 Introduction 410 17.2 Literature Review 413 17.3 Role of Robots in Industry 5.0 and Society 5.0 414 17.4 Potentials of Industry 5.0 and Society 5.0 418 17.5 Open Issues Toward Industry 5.0 and Society 5.0 420 17.6 Opportunities and Challenges Toward Industry 5.0 and Society 5.0 421 17.7 Conclusion 428 18 Artificial Intelligence—Blockchain Enabled Technology for Internet of Things: Research Statements, Open Issues, and Possible Applications in the Near Future 433 Shabnam Kumari and P. Muthulakshmi 18.1 Introduction: Artificial Intelligence, Machine Learning, Internet of Things, and Blockchain Concepts 434 18.2 Frameworks, Architectures, and Models for the Convergence of Machine Learning, IoTs, and Blockchain Technologies 436 18.3 Machine Learning Techniques for the Optimization of IoT-Based Services 438 18.4 Machine Learning Techniques for Exchanging Data in a Blockchain 442 18.5 Machine Learning-Based Blockchain Transactions 444 18.6 IoT-Enabled Security Using Artificial Intelligence and Blockchain Technologies 446 18.7 Security, Privacy, and Trust Related Areas in Artificial Intelligence and Blockchain-Based IoT Applications 451 18.8 Blockchain-Based Learning Automated Analytics Platforms 455 18.9 Blockchain- and Machine Learning-Based Solutions for Big Data Challenges 457 18.10 Machine Learning Techniques for the Analysis of Sensor Records for Healthcare Applications 460 18.11 Blockchain-Enabled IoT Platforms for Automation in Intelligent Transportation Systems 462 18.12 Conclusion 473 19 Blockchain-Empowered Decentralized Applications: Current Trends and Challenges 481 Atharva Deshmukh, Anand Kumar Mishra, G. Balamurugan and Amit Kumar Tyagi 19.1 Introduction 482 19.2 Literature Survey 483 19.3 Key Characteristics of Blockchain 484 19.4 Challenges Faced by Blockchain Technology 485 19.5 The Use of Smart Contracts in Decentralized Autonomous Organizations 487 19.6 Smart Contracts: An Overview 489 19.7 Smart Contract Platforms 490 19.8 Applications of Blockchain Technology 491 19.9 Future Data Storage Issues in Blockchain and Its Solution 497 19.10 Conclusion 498 20 Privacy of Data, Privacy Laws, and Privacy by Design 503 Elanur Özmen and Aswani Kumar Cherukuri 20.1 Introduction 503 20.2 Privacy Issues 505 20.3 Privacy Laws and Regulatýons 512 20.4 Techniques for Enforcing Privacy 518 20.5 Privacy by Design 521 20.6 Conclusion 524 References 526 Index 529
Amit Kumar Tyagi, PhD, is an assistant professor, at the National Institute of Fashion Technology, New Delhi, India. He has published more than 100 papers in refereed international journals, conferences, and books. He has filed more than 20 national and international patents in the areas of deep learning, Internet of Things, cyber-physical systems, and computer vision. His current research focuses on smart and secure computing and privacy amongst other interests.
