A thorough update to a classic in the field of privacy and big data. We have a global privacy problem. The average person provides more information about themselves to more outsiders than any time in history. Corporations, governments and even our neighbors can know where we are at times, can quickly learn our preferences and priorities and see who we meet. The past decade has brought deep changes in the collection of our private information, the regulation of that collection, and in people's sensitivity to loss of privacy. The nascent privacy-threatening technology trends of a decade ago have blossomed into relentless data-capturing systems that police and companies have come to rely on. To address the expansion of personal data capture, entire data regulatory regimes have arisen throughout the world, with new regulations added each year. People are more concerned, regulators are more aggressive, yet data collection continues to increase with consequences around the world. Social media use has fragmented in the past five years, spreading personal information over dozens of platforms. Even most of our new televisions have started collecting second-by-second information about our households recently, and some of those televisions can recognize the individuals watching and the devices they carry. Amazon just activated a new worldwide network using bandwidth from personal wifi of Echo devices and Ring security systems. The beat of new intrusions never seems to end. These data trends are relentless, and yet response to the pandemic accelerated them. Rapid development of "contactless everything" became the norm. Contact tracing apps became acceptable. QR codes for everything from menus to contact information were created quickly. Businesses are faced with hybrid in office and remote workforces. More people are dependent on online and mobile technologies for food, medicine, and even human connection. And each of these contacts can be captured somewhere and logged in a file for marketing or surveillance. People want to keep their lives private, but they don't know how. The second edition of Privacy in the Age of Big Data addresses the significant advances in data-driven technology, their intrusion deeper in our lives, the limits on data collection newly required by governments in North America and Europe, and the new security challenges of world rife with ransomware and hacking. This thoroughly updated edition demonstrates personal privacy vulnerabilities and shows ways to live a safer, more private life. Other privacy books tend to focus deeply on the evils of large tech companies or more academic and technical concerns. But Privacy in the Age of Big Data, second edition, helps regular people understand the privacy threats and vulnerabilities in their daily lives and will provide solutions for maintaining better privacy while enjoying a modern life. Unlike other books, this one shows what you can do to make a difference to understand your current digital footprint and what you need to do to claw back your privacy and secure it in the future. While PRIVACY IN THE AGE OF BIG DATA will have cross-sectional appeal to many demographics, working adults 25-60 and CEOs and Boards of businesses are the primary demographic--young enough to know we need to do something to protect privacy and old enough to remember what happens when we haven't in the past. With down-to-earth prose and examples pulled from daily life, the writing style will attract buyers of all education levels.

This book covers COVID-19 related research works and focuses on recent advances in the Internet of Things (IoT) in smart healthcare technologies. It includes reviews and original works on COVID-19 in terms of e-healthcare, medicine technology, life support systems, fast detection, diagnoses, developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, solutions for monitoring and control of the spread of COVID-19, among other topics. The book covers comprehensive studies from bioelectronics and biomedical engineering, artificial intelligence, and big data with a prime focus on COVID-19 pandemic.

This book presents a systematic review of research concerning processes and systems in Emergency Departments (EDs), the issues faced by EDs, and their solutions to ensure the delivery of proper and ideal healthcare services for patients through superior quality process management. The book evaluates two decades of data, from 2000 to 2019, in order to examine the processes used in ED operations. Emergency Department has become evident particularly in the current scenario when the world is in the grip of the deadly COVID-19. The two decades of data revealed a lack of literary content on bringing improvement for EDs in Malaysia and Saudi Arabia through the deployment of simulation models. Simulation model in Malaysia and Saudi Arabia is being considered for the first time by this book.

The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource for computer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.

This book focuses on signal processing techniques used in computational health informatics. As computational health informatics is the interdisciplinary study of the design, development, adoption and application of information and technology-based innovations, specifically, computational techniques that are relevant in health care, the book covers a comprehensive and representative range of signal processing techniques used in biomedical applications, including: bio-signal origin and dynamics, sensors used for data acquisition, artefact and noise removal techniques, feature extraction techniques in the time, frequency, time-frequency and complexity domain, and image processing techniques in different image modalities. Moreover, it includes an extensive discussion of security and privacy challenges, opportunities and future directions for computational health informatics in the big data age, and addresses the incorporation of recent techniques from the areas of artificial intelligence, deep learning and human-computer interaction. The systematic analysis of the state-of-the-art techniques covered here helps to further our understanding of the physiological processes involved and expandour capabilities in medical diagnosis and prognosis. In closing, the book, the first of its kind, blends state-of-the-art theory and practices of signal processing techniques inthe health informatics domain with real-world case studies building on those theories. As a result, it can be used as a text for health informatics courses to provide medics with cutting-edge signal processing techniques, or to introducehealth professionals who are already serving in this sector to some of the most exciting computational ideas that paved the way for the development of computational health informatics.

The second in the Women Securing the Future with TIPPSS series, this book provides insight and expert advice from seventeen women leaders in technology, healthcare and policy to address the challenges of Trust, Identity, Privacy, Protection, Safety and Security (TIPPSS) for connected healthcare, and the growing Internet of Medical Things (IoMT) ecosystem. The ten chapters in this book delve into trust, security and privacy risks in connected healthcare for patients, medical devices, personal and clinical data, healthcare providers and institutions, and provide practical approaches to manage and protect the data, devices, and humans. Cybersecurity, technology and legal experts discuss risks, from data and device hacks to ransomware, and propose approaches to address the challenges including new frameworks for architecting and evaluating medical device and connected hospital cybersecurity. We all need to be aware of the TIPPSS challenges in connected healthcare, and we call upon engineers, device manufacturers, system developers and healthcare providers to ensure trust and manage the risk. Featuring contributions from prominent female experts and role models in technology, cybersecurity, engineering, computer science, data science, business, healthcare, accessibility, research, law, privacy and policy, this book sets the stage to improve security and safety in our increasingly connected world.

This book provides an analysis of the role of fog computing, cloud computing, and Internet of Things in providing uninterrupted context-aware services as they relate to Healthcare 4.0. The book considers a three-layer patient-driven healthcare architecture for real-time data collection, processing, and transmission. It gives insight to the readers for the applicability of fog devices and gateways in Healthcare 4.0 environments for current and future applications. It also considers aspects required to manage the complexity of fog computing for Healthcare 4.0 and also develops a comprehensive taxonomy.

This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.

This book provides an insight on the importance that Internet of Things (IoT) and Information and Communication Technology (ICT) solutions can have in taking care of people's health. Key features of this book present the recent and emerging developments in various specializations in curing health problems and finding their solutions by incorporating IoT and ICT. This book presents useful IoT and ICT applications and architectures that cater to their improved healthcare requirements. Topics include in-home healthcare services based on the Internet-of-Things; RFID technology for IoT based personal healthcare; Real-time reporting and monitoring; Interfacing devices to IoT; Smart medical services; Embedded gateway configuration (EGC); Health monitoring infrastructure; and more. Features a number of practical solutions and applications of IoT and ICT on healthcare; Includes application domains such as communication technology and electronic materials and devices; Applies to researchers, academics, students, and practitioners around the world.

This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics. This book brings together the latest industrial and academic progress, research, and development efforts within the rapidly maturing health informatics ecosystem. Contributions highlight emerging data fusion topics that support prospective healthcare applications. The book also presents various technologies and concerns regarding energy aware and secure sensors and how they can reduce energy consumption in health care applications. It also discusses the life cycle of sensor devices and protocols with the help of energy-aware design, production, and utilization, as well as the Internet of Things technologies such as tags, sensors, sensing networks, and Internet technologies. In a nutshell, this book gives a comprehensive overview of the state-of-the-art theories and techniques for massive data handling and access in medical data and smart health in IoT, and provides useful guidelines for the design of massive Internet of Medical Things.

This book focuses on recent advances in the Internet of Things (IoT) in biomedical and healthcare technologies, presenting theoretical, methodological, well-established, and validated empirical work in these fields. Artificial intelligence and IoT are set to revolutionize all industries, but perhaps none so much as health care. Both biomedicine and machine learning applications are capable of analyzing data stored in national health databases in order to identify potential health problems, complications and effective protocols, and a range of wearable devices for biomedical and healthcare applications far beyond tracking individuals' steps each day has emerged. These prosthetic technologies have made significant strides in recent decades with the advances in materials and development. As a result, more flexible, more mobile chip-enabled prosthetics or other robotic devices are on the horizon. For example, IoT-enabled wireless ECG sensors that reduce healthcare cost, and lead to better quality of life for cardiac patients. This book focuses on three current trends that are likely to have a significant impact on future healthcare: Advanced Medical Imaging and Signal Processing; Biomedical Sensors; and Biotechnological and Healthcare Advances. It also presents new methods of evaluating medical data, and diagnosing diseases in order to improve general quality of life.

This book constitutes extended and revised versions of the selected papers from the 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020, held in Valletta, Malta, in February 2020.The 29 revised and extended full papers presented were carefully reviewed and selected from a total of 363 submissions. The papers are organized in topical sections on biomedical electronics and devices; bioimaging; bioinformatics models, methods and algorithms; bio-inspired systems and signal processing; health informatic

This book deals with two important technologies in human-computer interaction: computer generation of synthetic speech and computer recognition of human speech. It addresses the problems in generating speech with varying precision of articulation and how to convey moods and attitudes.

This book presents papers from HealthyIoT 2018, the fifth edition of an international scientific event series dedicated to Internet of Things and Healthcare. The papers discuss leveraging a set of existing and emerging technologies, notions and services that can provide many solutions to delivery of electronic healthcare, patient care, and medical data management. HealthyIoT brings together technology experts, researchers, industry and international authorities contributing towards the design, development and deployment of healthcare solutions based on IoT technologies, standards, and procedures. HealthyIoT 2018 is part of the 4th annual Smart City 360 Summit, promoting multidisciplinary scientific collaboration to solve complex societal, technological and economic problems of emerging Smart Cities. The event is endorsed by the European Alliance for Innovation, an international professional community-based organisation devoted to the advancement of innovation in the field of ICT. Features practical, tested applications in IoT for healthcare; Includes application domains such as eHealth Systems, smart textiles, smart caring environments, telemedicine, wellness, and health management, etc; Applicable to researchers, academics, students, and professionals.

This book is a collection of best selected research papers presented at International Conference on Intelligent and Smart Computing in Data Analytics (ISCDA 2020), held at K L University, Guntur, Andhra Pradesh, India. The primary focus is to address issues and developments in advanced computing, intelligent models and applications, smart technologies and applications. It includes topics such as artificial intelligence and machine learning, pattern recognition and analysis, computational intelligence, signal and image processing, bioinformatics, ubiquitous computing, genetic fuzzy systems, hybrid evolutionary algorithms, nature-inspired smart hybrid systems, Internet of things, industrial IoT, health informatics, human-computer interaction and social network analysis. The book presents innovative work by leading academics, researchers and experts from industry.

The book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas of computational arithmetic and its influence on computational statistics, numerical algorithms in statistical application software, basics of computer systems, statistical techniques, linear algebra and its role in optimization techniques, evolution of optimization techniques, optimal utilization of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model's role in design of experiments, Bayesian analysis, survival analysis and data mining in computational statistics.

This book reports on the theoretical foundations, fundamental applications and latest advances in various aspects of connected services for health information systems. The twelve chapters highlight state-of-the-art approaches, methodologies and systems for the design, development, deployment and innovative use of multisensory systems and tools for health management in smart city ecosystems. They exploit technologies like deep learning, artificial intelligence, augmented and virtual reality, cyber physical systems and sensor networks. Presenting the latest developments, identifying remaining challenges, and outlining future research directions for sensing, computing, communications and security aspects of connected health systems, the book will mainly appeal to academic and industrial researchers in the areas of health information systems, smart cities, and augmented reality.

The book aims to outline the issues of AI and COVID-19, involving predictions,medical support decision-making, and possible impact on human life. Starting withmajor COVID-19 issues and challenges, it takes possible AI-based solutions forseveral problems, such as public health surveillance, early (epidemic) prediction,COVID-19 positive case detection, and robotics integration against COVID-19.Beside mathematical modeling, it includes the necessity of changes in innovationsand possible COVID-19 impacts. The book covers a clear understanding of AI-driven tools and techniques, where pattern recognition, anomaly detection, machinelearning, and data analytics are considered. It aims to include the wide range ofaudiences from computer science and engineering to healthcare professionals.

This book constitutes the refereed post-conference proceedings of the First IFIP TC 5 International Conference on Computer Science Protecting Human Society Against Epidemics, ANTICOVID 2021, held virtually in June 2021.The 7 full and 4 short papers presented were carefully reviewed and selected from 20 submissions. The papers are concerned with a very large spectrum of problems, ranging from linguistics for automatic translation of medical terms, to a proposition for a worldwide system of fast reaction to emerging pandemic.

The book Multimedia for Accessible Human Computer Interfaces is to be the first resource to provide in-depth coverage on topical areas of multimedia computing (images, video, audio, speech, haptics, VR/AR, etc.) for accessible and inclusive human computer interfaces. Topics are grouped into thematic areas spanning the human senses: Vision, Hearing, Touch, as well as Multimodal applications. Each chapter is written by different multimedia researchers to provide complementary and multidisciplinary perspectives. Unlike other related books, which focus on guidelines for designing accessible interfaces, or are dated in their coverage of cutting edge multimedia technologies, Multimedia for Accessible Human Computer Interfaces takes an application-oriented approach to present a tour of how the field of multimedia is advancing access to human computer interfaces for individuals with disabilities. Under Theme 1 "Vision-based Technologies for Accessible Human Computer Interfaces", multimedia technologies to enhance access to interfaces through vision will be presented including: "A Framework for Gaze-contingent Interfaces", "Sign Language Recognition", "Fusion-based Image Enhancement and its Applications in Mobile Devices", and "Open-domain Textual Question Answering Systems". Under Theme 2 "Auditory Technologies for Accessible Human Computer Interfaces", multimedia technologies to enhance access to interfaces through hearing will be presented including: "Speech Recognition for Individuals with Voice Disorders" and "Socially Assistive Robots for Storytelling and Other Activities to Support Aging in Place". Under Theme 3 "Haptic Technologies for Accessible Human Computer Interfaces", multimedia technologies to enhance access to interfaces through haptics will be presented including: "Accessible Smart Coaching Technologies Inspired by Elderly Requisites" and "Haptic Mediators for Remote Interpersonal Communication". Under Theme 4 "Multimodal Technologies for Accessible Human Computer Interfaces", multimedia technologies to enhance access to interfaces through multiple modalities will be presented including: "Human-Machine Interfaces for Socially Connected Devices: From Smart Households to Smart Cities" and "Enhancing Situational Awareness and Kinesthetic Assistance for Clinicians via Augmented-Reality and Haptic Shared-Control Technologies".

This book examines the concept of dignity from a variety of global perspectives. It scrutinizes how dignity informs policy and practice, and is influenced by international and domestic law, human rights values, and domestic politics. An exciting collection of essays, this edited volume provides an analysis of human rights as they are experienced by real people who have in many cases been forced to take action to further their own interests. Readers will discover an extensive range of issues discussed, from the internet, climate change and disabilities, to globalization, old-age, and migrants' rights. The last section deals with the impact of various issues on indigenous and migrant populations, specifically violence in Columbia, border issues in Tijuana, women's and children's rights violations, and the complex problems experienced by refugees, particularly in regards to citizenship. The interdisciplinary nature of this work makes it an invaluable read for scholars of Health Studies, Law, Human Rights, Sociology and Politics.

The book presents the proceedings of four conferences: The 24th International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'20), The 6th International Conference on Health Informatics and Medical Systems (HIMS'20), The 21st International Conference on Bioinformatics & Computational Biology (BIOCOMP'20), and The 6th International Conference on Biomedical Engineering and Sciences (BIOENG'20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Authors include academics, researchers, professionals, and students. Presents the proceedings of four conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks on Image Processing, Computer Vision, & Pattern Recognition, Health Informatics & Medical Systems, Bioinformatics, Computational Biology & Biomedical Engineering; Features papers from IPCV'20, HIMS'20, BIOCOMP'20, and BIOENG'20.

The year 2020 and the COVID-19 pandemic marked a huge change globally, both in working and home environments. They posed major challenges for organisations around the world, which were forced to use technological tools to help employees work remotely, while in self-isolation and/or total lockdown. Though the positive outcomes of using these technologies are clear, doing so also comes with its fair share of potential issues, including risks regarding data and its use, such as privacy, transparency, exploitation and ownership. COVID-19 also led to a certain amount of paranoia, and the widespread uncertainty and fear of change represented a golden opportunity for threat actors. This book discusses and explains innovative technologies such as blockchain and methods to defend from Advanced Persistent Threats (APTs), some of the key legal and ethical data challenges to data privacy and security presented by the COVID-19 pandemic, and their potential consequences. It then turns to improved decision making in cyber security, also known as cyber situational awareness, by analysing security events and comparing data mining techniques, specifically classification techniques, when applied to cyber security data. In addition, the book illustrates the importance of cyber security, particularly information integrity and surveillance, in dealing with an on-going, infectious crisis. Aspects addressed range from the spread of misinformation, which can lead people to actively work against measures designed to ensure public safety and minimise the spread of the virus, to concerns over the approaches taken to monitor, track, trace and isolate infectious cases through the use of technology. In closing, the book considers the legal, social and ethical cyber and information security implications of the pandemic and responses to it from the perspectives of confidentiality, integrity and availability.

This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.

The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.