Computer science Books

Book SynopsisThe history of the computer is entwinedwith that of the modern world and with the life of one man, the brilliant buttroubled Alan Turing.How did the computer come to structureand dominate our lives so totally? In Jon Agar's enlightening story of the'universal machine', we discover how Turing's groundbreaking work not onlyhelped break German codes during the Second World War but also founded the beginningsof the modern computer.Persecuted by the authorities for hishomosexuality, and ultimately hounded to suicide, Turing's personaltribulations are as relevant to the modern world as his work on computing, asindicated by his posthumous royal pardon of 2013 and the recent film The Imitation Game, which focuses onTuring's turbulent life.

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Book SynopsisA textbook that uses a hands-on approach to teach principles of programming languages, with Java as the implementation language.This introductory textbook uses a hands-on approach to teach the principles of programming languages. Using Java as the implementation language, Rajan covers a range of emerging topics, including concurrency, Big Data, and event-driven programming. Students will learn to design, implement, analyze, and understand both domain-specific and general-purpose programming languages. Develops basic concepts in languages, including means of computation, means of combination, and means of abstraction.Examines imperative features such as references, concurrency features such as fork, and reactive features such as event handling.Covers language features that express differing perspectives of thinking about computation, including those of logic programming and flow-based programming.Presumes Java programming experi

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Book SynopsisA comprehensive introduction to the mathematical foundations of movement and actuation that apply equally to animals and machines.This textbook offers a computational framework for the sensorimotor stage of development as applied to robotics. Much work in developmental robotics is based on ad hoc examples, without a full computational basis. This book's comprehensive and complete treatment fills the gap, drawing on the principal mechanisms of development in the first year of life to introduce what is essentially an operating system for developing robots. The goal is to apply principles of development to robot systems that not only achieve new levels of performance but also provide evidence for scientific theories of human development.

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Book SynopsisHarnessing the power of software platforms: what executives and entrepreneurs must know about how to use this technology to transform industries and how to develop the strategies that will create value and drive profits.Software platforms are the invisible engines that have created, touched, or transformed nearly every major industry for the past quarter century. They power everything from mobile phones and automobile navigation systems to search engines and web portals. They have been the source of enormous value to consumers and helped some entrepreneurs build great fortunes. And they are likely to drive change that will dwarf the business and technology revolution we have seen to this point. Invisible Engines examines the business dynamics and strategies used by firms that recognize the transformative power unleashed by this new revolution—a revolution that will change both new and old industries.The authors argue that in order to understand the success

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Book SynopsisA comprehensive text and reference that covers all aspects of computer music, including digital audio, synthesis techniques, signal processing, musical input devices, performance software, editing systems, algorithmic composition, MIDI, synthesizer architecture, system interconnection, and psychoacoustics. The Computer Music Tutorial is a comprehensive text and reference that covers all aspects of computer music, including digital audio, synthesis techniques, signal processing, musical input devices, performance software, editing systems, algorithmic composition, MIDI, synthesizer architecture, system interconnection, and psychoacoustics. A special effort has been made to impart an appreciation for the rich history behind current activities in the field. Profusely illustrated and exhaustively referenced and cross-referenced, The Computer Music Tutorial provides a step-by-step introduction to the entire field of computer music techniques. Written for nontechnical as well as te

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Book SynopsisDeveloped by an experienced author and examiner team, this teacher's resource accompanies the coursebook and is written for the Cambridge International AS & A Level Computer Science syllabus (9618). It includes chapter-by-chapter support and guidance that will save you valuable time when planning lessons. This resource also contains answers to the coursebook questions.Table of ContentsIntroduction; Part 1: 1. Information representation; 2. Communication; 3. Hardware; 4. Processor fundamentals; 5. System software; 6. Security, privacy and data integrity; 7. Ethics and ownership; 8. Databases; Part 2: 9. Algorithm design and problem-solving; 10. Data types and structures; 11. Programming; 12. Software development; Part 3: 13. Data representation; 14. Communication and Internet technologies; 15. Hardware and virtual machines; 16. System software; 17. Security; 18. Artificial intelligence; Part 4: 19. Computational thinking and problem solving; 20. Further programming.

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Book SynopsisString matching is one of the oldest algorithmic techniques, yet still one of the most pervasive in computer science. The past 20 years have seen technological leaps in applications as diverse as information retrieval and compression. This copiously illustrated collection of puzzles and exercises in key areas of text algorithms and combinatorics on words offers graduate students and researchers a pleasant and direct way to learn and practice with advanced concepts. The problems are drawn from a large range of scientific publications, both classic and new. Building up from the basics, the book goes on to showcase problems in combinatorics on words (including Fibonacci or Thue-Morse words), pattern matching (including Knuth-Morris-Pratt and Boyer-Moore like algorithms), efficient text data structures (including suffix trees and suffix arrays), regularities in words (including periods and runs) and text compression (including Huffman, Lempel-Ziv and Burrows-Wheeler based methods).Table of Contents1. The Very Basics of Stringology; 2. Combinatorial Puzzles; 3. Pattern Matching; 4. Efficient Data Structures; 5. Regularities in Words; 6. Text Compression; 7. Miscellaneous.

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Book SynopsisProvides a comprehensive overview of wireless computing in medicine, with technological, medical, and legal advances This book brings together the latest work of leading scientists in the disciplines of Computing, Medicine, and Law, in the field of Wireless Health. The book is organized into three main sections. The first section discusses the use of distributed computing in medicine. It concentrates on methods for treating chronic diseases and cognitive disabilities like Alzheimer's, Autism, etc. It also discusses how to improve portability and accuracy of monitoring instruments and reduce the redundancy of data. It emphasizes the privacy and security of using such devices. The role of mobile sensing, wireless power and Markov decision process in distributed computing is also examined. The second section covers nanomedicine and discusses how the drug delivery strategies for chronic diseases can be efficiently improved by Nanotechnology enabled materials and devices suTable of ContentsContributors xiii Foreword xvii Preface xix PART I INTRODUCTION 1 1 Introduction to Wireless Computing in Medicine 3Amber Bhargava, Mary Mehrnoosh Eshaghian-Wilner, Arushi Gupta, Alekhya Sai Nuduru Pati, Kodiak Ravicz, and Pujal Trivedi 1.1 Introduction, 3 1.2 Definition of Terms, 5 1.3 Brief History of Wireless Healthcare, 5 1.4 What is Wireless Computing? 6 1.5 Distributed Computing, 7 1.6 Nanotechnology in Medicine, 10 1.7 Ethics of Medical Wireless Computing, 12 1.8 Privacy in Wireless Computing, 13 1.9 Conclusion, 14 References, 14 2 Nanocomputing and Cloud Computing 17T. Soren Craig, Mary Mehrnoosh Eshaghian-Wilner, Nikila Goli, Arushi Gupta, Shiva Navab, Alekhya Sai Nuduru Pati, Kodiak Ravicz, Gaurav Sarkar, and Ben Shiroma 2.1 Introduction, 17 2.2 Nanocomputing, 18 2.3 Cloud Computing, 30 2.4 Conclusion, 37 Acknowledgment, 37 References, 37 PART II PERVASIVE WIRELESS COMPUTING IN MEDICINE 41 3 Pervasive Computing in Hospitals 43Janet Meiling Wang-Roveda, Linda Powers, and Kui Ren 3.1 Introduction, 43 3.2 Architecture of Pervasive Computing in Hospitals, 45 3.3 Sensors, Devices, Instruments, and Embedded Systems, 49 3.4 Data Acquisition in Pervasive Computing, 59 3.5 Software Support for Context-Aware and Activity Sharing Services, 63 3.6 Data and Information Security, 66 3.7 Conclusion, 71 Acknowledgment, 71 References, 72 4 Diagnostic Improvements: Treatment and Care 79Xiaojun Xian 4.1 Introduction, 79 4.2 System Design, 81 4.3 Body Sensor Network, 82 4.4 Portable Sensors, 84 4.5 Wearable Sensors, 88 4.6 Implantable Sensors, 94 4.7 Wireless Communication, 95 4.8 Mobile Base Unit, 97 4.9 Conclusion and Challenges, 98 Acknowledgment, 99 References, 99 5 Collaborative Opportunistic Sensing of Human Behavior with Mobile Phones 107Luis A. Castro, Jessica Beltran-Marquez, Jesus Favela, Edgar Chavez, Moises Perez, Marcela Rodriguez, Rene Navarro, and Eduardo Quintana 5.1 Health and Mobile Sensing, 107 5.2 The InCense Sensing Toolkit, 110 5.3 Sensing Campaign 1: Detecting Behaviors Associated with the Frailty Syndrome Among Older Adults, 119 5.4 Sensing Campaign 2: Detecting Problematic Behaviors among Elders with Dementia, 123 5.5 Discussion, 131 5.6 Conclusions and Future Work, 132 References, 133 6 Pervasive Computing to Support Individuals with Cognitive Disabilities 137Monica Tentori, José Mercado, Franceli L. Cibrian, and Lizbeth Escobedo 6.1 Introduction, 137 6.2 Wearable and Mobile Sensing Platforms to Ease the Recording of Data Relevant to Clinical Case Assessment, 144 6.3 Augmented Reality and Mobile and Tangible Computing to Support Cognition, 151 6.4 Serious Games and Exergames to Support Motor Impairments, 158 6.5 Conclusions, 168 Acknowledgments, 172 References, 172 7 Wireless Power for Implantable Devices: A Technical Review 187Nikita Ahuja, Mary Mehrnoosh Eshaghian-Wilner, Zhuochen Ge, Renjun Liu, Alekhya Sai Nuduru Pati, Kodiak Ravicz, Mike Schlesinger, Shu Han Wu, and Kai Xie 7.1 Introduction, 187 7.2 History of Wireless Power, 189 7.3 Approach of Wireless Power Transmission, 191 7.4 A Detailed Example of Magnetic Coupling Resonance, 194 7.5 Popular Standards, 199 7.6 Wireless Power Transmission in Medical use, 201 7.7 Conclusion, 204 Acknowledgments, 205 References, 205 8 Energy-Efficient Physical Activity Detection in Wireless Body Area Networks 211Daphney-Stavroula Zois, Sangwon Lee, Murali Annavaram, and Urbashi Mitra 8.1 Introduction, 211 8.2 Knowme Platform, 215 8.3 Energy Impact of Design Choices, 217 8.4 Problem Formulation, 228 8.5 Sensor Selection Strategies, 232 8.6 Alternative Problem Formulation, 237 8.7 Sensor Selection Strategies for the Alternative Formulation, 241 8.8 Experiments, 244 8.9 Related Work, 254 8.10 Conclusion, 256 Acknowledgments, 257 References, 257 9 Markov Decision Process for Adaptive Control of Distributed Body Sensor Networks 263Shuping Liu, Anand Panangadan, Ashit Talukder, and Cauligi S. Raghavendra 9.1 Introduction, 263 9.2 Rationale for MDP Formulation, 265 9.3 Related Work, 268 9.4 Problem Statement, Assumptions, and Approach, 269 9.5 MDP Model for Multiple Sensor Nodes, 272 9.6 Communication, 274 9.7 Simulation Results, 276 9.8 Conclusions, 292 Acknowledgment, 294 References, 294 PART III NANOSCALE WIRELESS COMPUTING IN MEDICINE 297 10 An Introduction to Nanomedicine 299Amber Bhargava, Janet Cheung, Mary Mehrnoosh Eshaghian-Wilner, Wan Lee, Kodiak Ravicz, Mike Schlesinger, Yesha Shah, and Abhishek Uppal 10.1 Introduction, 299 10.2 Nanomedical Technology, 301 10.3 Detection, 303 10.4 Treatment, 305 10.5 Biocompatibility, 309 10.6 Power, 311 10.7 Computer Modeling, 313 10.8 Research Institutions, 315 10.9 Conclusion, 317 Acknowledgments, 317 References, 317 11 Nanomedicine Using Magneto-Electric Nanoparticles 323Mary Mehrnoosh Eshaghian-Wilner, Andrew Prajogi, Kodiak Ravicz, Gaurav Sarkar, Umang Sharma, Rakesh Guduru, and Sakhrat Khizroev 11.1 Introduction, 323 11.2 Overview of MENs, 324 11.3 Experiment 1: Externally Controlled On-Demand Release of Anti-HIV Drug Azttp Using Mens as Carriers, 325 11.4 Experiment 2: Mens to Enable Field-Controlled High-Specificity Drug Delivery to Eradicate Ovarian Cancer Cells, 331 11.5 Experiment 3: Magnetoelectric “Spin” on Stimulating the Brain, 339 11.6 Bioceramics: Bone Regeneration and MNS, 348 11.7 Conclusion, 351 References, 353 12 DNA Computation in Medicine 359Noam Mamet and Ido Bachelet 12.1 Background for the Non-Biologist, 359 12.2 Introduction, 362 12.3 In Vitro Computing, 364 12.4 Computation in Vivo, 370 12.5 Challenges, 373 12.6 Glimpse into the Future, 373 References, 374 13 Graphene-Based Nanosystems for the Detection of Proteinic Biomarkers of Disease: Implication in Translational Medicine 377Farid Menaa, Sandeep Kumar Vashist, Adnane Abdelghani, and Bouzid Menaa 13.1 Introduction, 377 13.2 Structural and Physicochemical Properties of Graphene and Main Derivatives, 379 13.3 Graphene and Derivatives-Based Biosensing Nanosystems and Applications, 382 13.4 Conclusion and Perspectives, 389 Conflict of Interest, 390 Abbreviations, 390 References, 391 14 Modeling Brain Disorders in Silicon Nanotechnologies 401Alice C. Parker, Saeid Barzegarjalali, Kun Yue, Rebecca Lee, and Sukanya Patil 14.1 Introduction, 401 14.2 The BioRC Project, 402 14.3 Background: BioRC Neural Circuits, 404 14.4 Modeling Synapses with CNT Transistors, 408 14.5 Modeling OCD with Hybrid CMOS/Nano Circuits, 410 14.6 The Biological Cortical Neuron and Hybrid Electronic Cortical Neuron, 411 14.7 Biological OCD Circuit and Biomimetic Model, 412 14.8 Indirect Pathway: The Braking Mechanism, 413 14.9 Direct Pathway: The Accelerator, 414 14.10 Typical and Atypical Responses, 415 14.11 Modeling Schizophrenic Hallucinations with Hybrid CMOS/Nano Circuits, 416 14.12 Explanation for Schizophrenia Symptoms, 416 14.13 Disinhibition due to Miswiring, 418 14.14 Our Hybrid Neuromorphic Prediction Network, 418 14.15 Simulation Results, 419 14.16 Numerical Analysis of False Firing, 421 14.17 Modeling PD with CMOS Circuits, 422 14.18 Modeling MS with CMOS Circuits, 424 14.19 Demyelination Circuit, 425 14.20 Conclusions and Future Trends, 426 References, 428 15 Linking Medical Nanorobots to Pervasive Computing 431Sylvain Martel 15.1 Introduction, 431 15.2 Complementary Functionalities, 432 15.3 Main Specifications for such Nanorobotic Agents (Nanorobots), 433 15.4 Medical Nanorobotic Agents—An Example, 436 15.5 Nanorobotic Communication Links Allowing Pervasive Computing, 438 15.6 Types of Information, 439 15.7 Medical Nanorobotic Agents for Monitoring and Early Detection, 440 15.8 Medical Nanorobotics and Pervasive Computing—Main Conditions that must be met for its Feasibility, 442 15.9 Conclusion, 443 References, 444 16 Nanomedicine’s Transversality: Some Implications of the Nanomedical Paradigm 447José J. López and Mathieu Noury 16.1 Introduction, 447 16.2 Nanomedicine’s Promises, 448 16.3 Analysing Implications of the Nanomedicine Paradigm, 451 16.4 The Molecular Underpinnings of Nanomedicine’s Transversality, 456 16.5 Nanomedicine as Predictive Medicine, 457 16.6 Nanomedicine as Personalized Medicine, 460 16.7 Nanomedicine as Regenerative Medicine, 465 16.8 Conclusion, 466 References, 468 PART IV ETHICAL AND LEGAL ASPECTS OF WIRELESS COMPUTING IN MEDICINE 473 17 Ethical Challenges of Ubiquitous Health Care 475William Sims Bainbridge 17.1 Introduction, 475 17.2 A Philosophical Framework, 478 17.3 Information Deviance, 480 17.4 The Current Frenzy, 482 17.5 Genetic Informatics, 485 17.6 Ubiquitous Information Technology, 489 17.7 Stasis versus Progress, 492 17.8 Problematic Ethics, 494 17.9 Leadership in Science and Engineering Ethics, 496 17.10 Conclusion, 498 References, 499 18 The Ethics of Ubiquitous Computing in Health Care 507Clark A. Miller, Heather M. Ross, Gaymon Bennett, and J. Benjamin Hurlbut 18.1 Introduction, 507 18.2 Ubiquitous Computing and the Transformation of Health Care: Three Visions, 511 18.3 Case Study: Cardiac Implanted Electrical Devices, 516 18.4 Ethical Reflections, 521 18.5 Conclusions: The Need for Socio-Technical Design, 534 References, 537 19 Privacy Protection of Electronic Healthcare Records in e-Healthcare Systems 541Fredrick Japhet Mtenzi 19.1 Introduction, 541 19.2 Security and Privacy Concerns of EHR in e-Healthcare Systems, 545 19.3 Privacy Laws and Regulations of EHRs, 547 19.4 Privacy of EHRs in e-Healthcare Systems, 552 19.5 Discussion and Conclusion, 558 19.6 Contributions and Future Research, 559 References, 561 20 Ethical, Privacy, and Intellectual Property Issues in Nanomedicine 567Katie Atalla, Ayush Chaudhary, Mary Mehrnoosh Eshaghian-Wilner, Arushi Gupta, Raj Mehta, Adarsh Nayak, Andrew Prajogi, Kodiak Ravicz, Ben Shiroma, and Pujal Trivedi 20.1 Introduction, 567 20.2 Ethical Issues, 568 20.3 Privacy Issues, 579 20.4 IP Issues, 590 20.5 Conclusion, 596 Acknowledgments, 596 References, 596 PART V CONCLUSION 601 21 Concluding Remarks 603Zhaoqi Chen, Mary Mehrnoosh Eshaghian-Wilner, Kalyani Gonde, Kodiak Ravicz, Rakshith Saligram and Mike Schlesinger 21.1 Wireless Computing in Health Care, 603 21.2 Nanomedicine, 606 21.3 Ethical, Privacy, and Intellectual Property Issues of Nanomedicine and Wireless Computing, 609 21.4 Conclusions, 610 Acknowledgments, 610 References, 610 Index 613

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Book SynopsisFrom 5G to 6G Understand the transition to the sixth generation of wireless with this bold introduction The transition from the fifth generation of wireless communication (5G) to the coming sixth generation (6G) promises to be one of the most significant phases in the history of telecommunications. The technological, social, and logistical challenges promise to be significant, and meeting these challenges will determine the future of wireless communication. Experts and professionals across dozens of fields and industries are beginning to reckon seriously with these challenges as the 6G revolution approaches. From 5G to 6G provides an overview of this transition, offering a snapshot of a moment in which 5G is establishing itself and 6G draws ever nearer. It focuses on recent advances in wireless technology that brings 6G closer to reality, as well as the near-term challenges that still have to be met for this transition to succeed. The result is an essential book for anyone wishing to understand the future of wireless telecommunications in an increasingly connected world. From 5G to 6G readers will also find: 6G applications to both AI and Machine Learning, technologies which loom ever larger in wireless communicationDiscussion of subjects including smart healthcare, cybersecurity, extended reality, and moreTreatment of the ongoing infrastructural and technological requirements for 6G From 5G to 6G is essential for researchers and academics in wireless communication and computer science, as well as for undergraduates in related subjects and professionals in wireless-adjacent fields.Table of ContentsAbout the Author xiii Preface xv 1 Technologies and Development for the Next Information Age 1 1.1 Introduction 1 1.2 Roadmap to 6G 1 1.2.1 Society 5.0 4 1.2.2 Extended Reality 4 1.2.3 Wireless Brain-Computer 5 1.2.4 Haptic Communication 5 1.2.5 Smart Healthcare 5 1.2.6 Five-Sense Information 6 1.2.7 The Internet of Everything 6 1.2.8 5G to 6G 6 1.3 AI and Cybersecurity: Paving the Way for the Future 10 1.4 Fusion of IoT, AI, and Cybersecurity 10 1.4.1 Where Did AI Begin? 12 1.4.2 Role of AI 12 1.4.3 Disadvantages of AI 12 1.4.4 Advantages of AI 12 1.4.5 Threats from Hackers 14 1.5 How AI Can Help Solve These Problems 15 1.6 Connected Devices and Cybersecurity 16 1.7 Solutions for Data Management in Cybersecurity 17 1.8 Conclusion 17 References 18 2 Networks of the Future 21 2.1 Introduction 21 2.2 The Motive for Energy-Efficient ICTs 22 2.2.1 Approaches 23 2.3 Wireless Networks 24 2.3.1 Wi-Fi 26 2.3.2 Lte 28 2.3.3 Heterogeneous Networks 29 2.3.4 Femtocell Repeater 29 2.3.5 The Dawn of 5G Wireless Systems 30 2.3.6 Advancing from 5G to 6G Networks 32 2.4 Cognitive Networking 33 2.4.1 Zero-Touch Network and Service Management 34 2.4.2 Zero-Trust Networking 35 2.4.3 Information-Centric Networking 35 2.4.3.1 Basic Concepts of ICN 36 2.4.4 In-Network Computing 36 2.4.5 Active Networking 36 2.5 Mobile Edge Computing 37 2.6 Quantum Communications 37 2.6.1 Quantum Computing and 6G Wireless 38 2.7 Cybersecurity of 6G 38 2.8 Massive Machine-Type Communications (MTC) 39 2.9 Edge-Intelligence and Pervasive Artificial Intelligence in 6G 40 2.10 Blockchain: Foundations and Role in 6G 40 2.11 Role of Open-Source Platforms in 6G 40 2.11.1 PHY Technologies for 6G Wireless 40 2.11.2 Reconfigurable Intelligent Surface for 6G Wireless Networks 41 2.11.3 Millimeter-Wave and Terahertz Spectrum for 6G Wireless 41 2.11.4 Challenges in Transport Layer for Terabit Communications 41 2.11.5 High-Capacity Backhaul Connectivity for 6G Wireless 42 2.11.6 Cloud-Native Approach for 6G Wireless Networks 42 2.11.7 Machine Type Communications in 6G 42 2.11.8 Impact of 5G and 6G on Health and Environment 42 2.12 Integration of 5G with AI and IoT and Roadmap to 6G 43 2.13 3gpp 47 2.14 Conclusion 49 References 49 3 The Future of Wireless Communication with 6G 53 3.1 Introduction 53 3.2 Recent Trends Leading to 6G Technology Evolution 53 3.3 Security and Privacy Challenges in 6G Wireless Communications 53 3.4 The Impact of 6G on Healthcare Systems 56 3.5 The Impact of 6G on Space Technology and Satellite Communication 58 3.6 The Impact of 6G on Other Industries 60 3.7 Terahertz Wireless Systems and Networks with 6G 61 3.8 The Future of 6G and Its Role in IT 62 References 62 4 Artificial Intelligence and Machine Learning in the Era of 5G and 6G Technology 65 4.1 Artificial Intelligence and Machine Learning: Definitions, Applications, and Challenges 66 4.1.1 Application of Machine Learning and Artificial Intelligence 66 4.1.2 Challenges for Machine Learning and Artificial Intelligence 66 4.2 Artificial Intelligence: Laws, Regulations, and Ethical Issues 67 4.2.1 Ethical Governance in Artificial Intelligence 67 4.2.2 The Future of Regulation for AI 67 4.3 Potentials of Artificial Intelligence in Wireless 5G and 6G: Benefits and Challenges 68 4.3.1 Artificial Intelligence in Wireless 5G and 6G 68 4.3.2 Benefits and Challenges of AI in 5G and 6G 68 4.3.3 How Can AI Be Used to Enhance 6G Wireless Security? 68 4.3.4 The 6G Era’s Edge Intelligence and Cloudification 69 4.3.5 Distributed Artificial Intelligence in 6G Security 69 4.4 Cybersecurity Issues in Advanced 5G and 6G 70 4.5 Benefits and Challenges of Using AI in Cybersecurity: Help or Hurt? 70 4.6 How Can AI Be Used by Hackers Attacking Networks? 71 4.7 Conclusion 72 References 72 5 6G Wireless Communication Systems: Emerging Technologies, Architectures, Challenges, and Opportunities 73 5.1 Introduction 73 5.2 Important Aspects of Sixth-Generation Communication Technology 73 5.2.1 A Much Higher Data Rate 74 5.2.2 A Much Lower Latency 74 5.2.3 Network Reliability and Accuracy 74 5.2.4 Energy Efficiency 74 5.2.5 Focus on Machines as Primary Users 74 5.2.6 AI Wireless Communication Tools 74 5.2.7 Personalized Network Experience 74 5.3 Enabling Technologies Behind the Drive for 6G 76 5.3.1 Artificial Intelligence 76 5.3.2 Terahertz Communications 78 5.3.3 Optical Wireless Technology 78 5.4 Extreme Performance Technologies in 6G Connectivity 79 5.4.1 Quantum Communication and Quantum ml 79 5.4.2 Blockchain 80 5.4.2.1 Internal Network Operations 80 5.4.2.2 Ecosystem for Productive Collaboration 80 5.4.2.3 Tactile Internet 80 5.4.2.4 Spectrum Sharing (FDSS) and Free Duplexing 80 5.5 6G Communications Using Intelligent Platforms 81 5.5.1 Integrated Intelligence 82 5.5.2 Satellite-Based Integrated Network 82 5.5.3 Wireless Information and Energy Transfer Are Seamlessly Integrated 83 5.6 Artificial Intelligence and a Data-Driven Approach to Networks 83 5.6.1 Zero-Touch Network 84 5.6.2 AI by Design 85 5.6.3 Technological Fundamentals for Zero-Touch Systems 85 5.7 Sensing for 6G 85 5.7.1 A Bandwidth as Well as Carrier Frequency Rise 85 5.7.2 Chip Technologies of the Future 86 5.7.3 Models of Consistent Channels 86 5.7.4 X-Haul and Transport Network for 6G 87 5.8 Applications 87 5.9 Innovative 6G Network Architectures 89 5.10 Conclusion 89 References 90 6 6G: Architecture, Applications, and Challenges 91 6.1 Introduction 91 6.2 6G Network Architecture Vision 93 6.2.1 6G Use Cases, Requirements, and Metrics 94 6.2.2 What 5G Is Currently Covering 95 6.3 6th Generation Networks: A Step Beyond 5G 97 6.3.1 6G and the Fundamental Features 98 6.4 Emerging Applications of 6G Wireless Networks 99 6.4.1 Virtual, Augmented, and Mixed Reality 99 6.4.2 Holographic Telepresence 100 6.4.3 Automation: The Future of Factories 101 6.4.4 Smart Lifestyle with the Integration of the Internet of Things 101 6.4.5 Autonomous Driving and Connected Devices 101 6.4.6 Healthcare 101 6.4.7 Nonterrestrial Communication 101 6.4.8 Underwater Communication 102 6.4.9 Disaster Management 102 6.4.10 Environment 102 6.5 The Requirements and KPI Targets of 6G 102 6.5.1 Extremely Low Latency 102 6.5.2 Low Power Consumption 102 6.5.3 High Data Rates 103 6.5.4 High-Frequency Bands 103 6.5.5 Ultra-Reliability 103 6.5.6 Security and Privacy 103 6.5.7 Massive Connection Density 104 6.5.8 Extreme Coverage Extension 104 6.5.9 Mobility 104 6.6 6G Applications 104 6.7 Challenges in 6G: Standardization, Design, and Deployment 104 References 106 7 Cybersecurity in Digital Transformation Era: Security Risks and Solutions 109 7.1 Introduction 109 7.2 Digital Transformation and Mesh Networks of Networks 109 7.3 Security as the Enemy of Digital Transformation 111 7.4 The Current State of Cybercrime 113 7.5 Security and Technologies of the Digital Transformation Economy 115 7.6 Tackling the Cybersecurity Maturity Challenges to Succeed with Digital Transformation 116 7.7 Security Maturity and Optimization: Perception versus Reality 117 7.7.1 Why Cybersecurity Maturity Is Not What It Should Be in the Digital Business and Transformation Reality 118 7.7.2 Why Cybersecurity Maturity and Strategy Are Lagging 119 7.8 Changing Security Parameters and Cyber Risks Demand a Holistic Security Approach for Digital Business 120 7.9 Cybersecurity Challenges and Digital Risks for the Future 121 7.10 Conclusion 122 References 122 8 Next Generations Networks: Integration, Trustworthiness, Privacy, and Security 125 8.1 Introduction 125 8.2 The State of 5G Networks 127 8.2.1 Applications and Services of 5G Technologies 128 8.3 6G: Key Technologies 130 8.4 6G: Application and Services 134 8.5 Benefits of 6G over 5G: A Comparison 135 8.5.1 Artificial Intelligence in 5G and 6G: Benefits and Challenges 135 8.5.2 Artificial Intelligence and Cybersecurity 136 8.5.3 Benefits and Challenges of AI and 6G for Cybersecurity as Defense and Offense 136 8.6 6G: Integration and Roadmap 137 8.7 Key Words in Safeguarding 6G 137 8.7.1 Trust 137 8.7.2 Security 137 8.7.3 Privacy 138 8.8 Trustworthiness in 6G 138 8.8.1 Is Trust Networking Needed? 138 8.8.2 Benefits of Trust Networking for 6G 138 8.8.3 Constraints of Trust Networking in 6G 138 8.8.4 Principles for Trust Networking 139 8.8.5 Challenges in Trust Networking for 6G 139 8.9 Network Security Architecture for 6G 140 8.9.1 Privacy and Security in IoT for 6G 140 8.10 6G Wireless Systems 141 8.10.1 Advances 141 8.10.2 Physical Layer Security as a Means of Confidentiality 142 8.10.3 Challenges of Implementing Federated Learning 143 8.10.4 Physical Layer Security for Six-Generation Connectivity 143 8.10.5 Physical Layer Security Using Light Communications 144 8.10.6 Challenges for Physical Layer Security 144 8.10.7 Privacy Requirements for 6G 145 8.10.8 Is Personal Information Really Personal? 145 8.11 Fifth Generation vs. Sixth Generation 145 8.12 Conclusion 146 References 147 9 Artificial Intelligence: Cybersecurity and Security Threats 149 9.1 Introduction 149 9.2 5G and 6G 150 9.3 Cybersecurity in Its Current State 151 9.4 AI as a Concept 153 9.5 AI: A Solution for Cybersecurity 154 9.6 AI: New Challenges in Cybersecurity 154 9.7 Conclusion 156 References 156 10 Impact of Artificial Intelligence and Machine Learning on Cybersecurity 159 10.1 Introduction 159 10.2 What Is Artificial Intelligence (AI)? 160 10.2.1 Reactive Machines 160 10.2.2 Limited Memory 160 10.2.3 Theory of Mind 160 10.2.4 Self-Awareness 161 10.3 The Transformative Power of AI 161 10.4 Understanding the Relationship Between AI and Cybersecurity 161 10.5 The Promise and Challenges of AI for Cybersecurity 162 10.5.1 Risks and Impacts of AI on Cybersecurity (Threats and Solutions) 163 10.5.1.1 Domestic Risks 164 10.5.1.2 Local Risks 164 10.5.1.3 National Risks 164 10.5.1.4 Why Prediction and Prevention 164 10.6 Broad Domain of AI Security (Major Themes in the AI Security Landscape) 164 10.6.1 Digital/Physical 165 10.6.2 Protection from Malicious Use of AI and Automated Cyberattacks 165 10.6.3 Other Technologies with AI and Their Integration 165 10.6.4 Political 165 10.6.5 Manipulation and Disinformation Protection 165 10.6.6 Infrastructure Based on AI and Digital Expertise of Government 166 10.6.6.1 Economic 166 10.6.6.2 Labor Displacement and Its Mitigation 166 10.6.6.3 Promotion of AI R&D 166 10.6.6.4 Education and Training That Is Updated 167 10.7 Transparency of Artificial Intelligence and Accountability Societal Aspects 167 10.7.1 Rights of Privacy and Data 167 10.8 Global AI Security Priorities 168 10.8.1 Global Economy 168 10.8.2 Global Privacy and Data Rights 168 10.8.2.1 AI and Ethics 169 10.8.3 Automation of Cyberattacks or Social Engineering Attacks 170 10.8.4 Target Prioritizing with Machine Learning 170 10.9 Automation of Services in Cybercriminal Offense 170 10.9.1 Increased Scale of Attacks 170 10.10 The Future of AI in Cybersecurity 171 10.11 Conclusion 171 References 172 11 AI and Cybersecurity: Paving the Way for the Future 175 11.1 Introduction 175 11.2 IoT Security and the Role of AI 176 11.3 Cybercrime and Cybersecurity 179 11.4 How Can AI Help Solve These Problems? 181 11.5 The Realm of Cyberspace 181 11.6 Connected Devices and Cybersecurity 182 11.7 Solutions for Data Management in Cybersecurity 183 11.8 Conclusion 183 References 184 12 Future 6G Networks 185 12.1 Introduction 185 12.2 Vision, Challenges, and Key Features for Future 6G Networks 186 12.2.1 Fourth Generation Long-Term Evolution (4G-LTE) 187 12.3 Rationale for 6G Networks with Prevailing and Future Success of 5G 188 12.4 Missing Units from LTE and 5G That 6G Will Integrate 189 12.5 Features of 6G Networks 189 12.5.1 Large Bandwidth 189 12.5.2 Artificial Intelligence 189 12.5.3 Operational Intelligence 190 12.6 Wireless Networks 190 12.6.1 Beyond 5G and Toward 6G 190 12.6.2 Visible-Light Communications 191 12.6.3 E-MBB Plus 191 12.6.4 Big Communications 191 12.6.5 Secure Ultra-Reliable Low-Latency Communications 192 12.6.6 Three-Dimensional Integrated Communications 192 12.6.7 Underwater Communication 193 12.6.8 Space Communication 194 12.6.9 UAV-Based Communication 194 12.6.10 Unconventional Data Communications 194 12.6.11 Tactical Communications 195 12.6.12 Holographic Communications 195 12.6.13 Human-Bond Communications 196 12.7 Challenges for 6G Networks 196 12.7.1 Potential Health Issues 196 12.7.2 Security and Privacy Concerns 197 12.7.3 Research Activities and Trends 197 12.8 Conclusion 198 References 200 Index 203

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Book SynopsisAccelerated coverage of every topic on the 2022 version of the A+ Core 2 exam from CompTIA Get on the fast track to becoming CompTIA A+ certified with this affordable, portable study tool. Inside, certification training gurus Mike Meyers and Ron Gilster guide you on your exam preparation path, providing expert tips and sound advice along the way. With an intensive focus on only what you need to know to pass the CompTIA A+ 220-1102 exam, this certification passport is your ticket to success on exam day.TECHNICAL BULLETS:Inside: Reviews and descriptions of the major features of Windows 10/11, macOS, and Linux operating systems Information and tips on operating systems, networking, and feature configurations Enhanced coverage of mobile device setup and troubleshooting Enhanced coverage of computer security Practice questions and content review after each objective prepare you for exam masteryTable of ContentsDomain 1: Operating SystemsDomain 2: SecurityDomain 3: Software TroubleshootingDomain 4: Operational Procedures

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