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Online user privacy is a delicate issue that has been unfortunately overlooked by technology corporations and especially the public since the birth of the internet. Many online businesses and services such as web search engines, retailers, and social network sites exploit user data for profit. There is a misconception among people about the term “privacy.” Usually, people think that privacy is the ability of an individual to isolate themselves or that it is a person’s right to control access to their personal information. However, privacy is not just about revealing secret information; it also includes exploiting user personal data, as the exploitation of personal data may lead to disastrous consequences. Protecting User Privacy in Web Search Utilization presents both multidisciplinary and interdisciplinary works on questions related to experiences and phenomena that can or could be covered by concepts regarding the protection and privacy of web service users. It further highlights the importance of web search privacy to the readers and educates them about recent developments in the field. Covering topics such as AI-based intrusion detection, desktop search engines, and privacy risks, this premier reference source is an essential resource for students and educators of higher education, data experts, privacy professionals and engineers, IT managers, software developers, government officials, archivists and librarians, privacy rights activists, researchers, and academicians.
In today’s world, smart healthcare supports the out-of-hospital concept, which transforms and offers higher care standards. This is accomplished with individual requirements with the help of public opinion. Moreover, smart healthcare systems are generally designed to sense individual health status data, which can be forwarded to clinical professionals for interpretation. Swarm intelligence analysis is a valuable tool for categorizing public opinion into different sentiments. Dynamics of Swarm Intelligence Health Analysis for the Next Generation discusses the role of behavioral activity in the evolution of traditional medical systems to intelligent systems. It further focuses on the economic, social, and environmental impacts of swarm intelligence smart healthcare systems. Covering topics such as healthcare data analytics, clustering algorithms, and the internet of medical things, this premier reference source is an excellent resource for healthcare professionals, hospital administrators, IT managers, policymakers, educators and students of higher education, researchers, and academicians.
In recent years, smart devices have become commonplace in our daily lives. On the internet of things (IoT), these devices powered new intelligent services. Their application enabled the rise of intelligent cities, smart agriculture, and Industry 4.0. However, smart devices collect and share large amounts of data, including the habits and preferences of their users. Cybersecurity incidents in intelligent environments may impact services used by millions across the world and make private information public. Information Security and Privacy in Smart Devices: Tools, Methods, and Applications presents research challenges, innovative insights, and trends related to solutions, methods, processes, and applications for maintaining information security and privacy in intelligent environments. Covering topics such as information retrieval methods, electronic health records, and misinformation detection, this premier reference source is an excellent resource for security professionals, government officials, business leaders and executives, IT managers, hospital administrators, students of higher education, librarians, researchers, and academicians.
Cybersecurity, or information technology security (I/T security), is the protection of computer systems and networks from information disclosure; theft of or damage to their hardware, software, or electronic data; as well as from the disruption or misdirection of the services they provide. The field is becoming increasingly critical due to the continuously expanding reliance on computer systems, the internet, wireless network standards such as Bluetooth and Wi-Fi, and the growth of "smart" devices, which constitute the internet of things (IoT). Cybersecurity is also one of the significant challenges in the contemporary world, due to its complexity, both in terms of political usage and technology. Its primary goal is to ensure the dependability, integrity, and data privacy of enterprise-wide systems in an era of increasing cyberattacks from around the world. Effective Cybersecurity Operations for Enterprise-Wide Systems examines current risks involved in the cybersecurity of various systems today from an enterprise-wide perspective. While there are multiple sources available on cybersecurity, many publications do not include an enterprise-wide perspective of the research. The book provides such a perspective from multiple sources that include investigation into critical business systems such as supply chain management, logistics, ERP, CRM, knowledge management, and others. Covering topics including cybersecurity in international business, risk management, artificial intelligence, social engineering, spyware, decision support systems, encryption, cyber-attacks and breaches, ethical hacking, transaction support systems, phishing, and data privacy, it is designed for educators, IT developers, education professionals, education administrators, researchers, security analysts, systems engineers, software security engineers, security professionals, policymakers, and students.
In recent years, media digitalization has been booming. It has, however, led to a phenomenon of private data hacking, which was stimulated by the expansion of the data exchange system. These hackers are being countered by using new techniques, including cryptography and watermarking. Therefore, in the fields of information security, data encryption, and watermarking, there exists a need for a collection of original research in this area. Applications of Encryption and Watermarking for Information Security provides relevant theoretical frameworks and the latest empirical research findings in the domains of security and privacy. It is written for professionals who want to improve their understanding of the strategic role of trust at different levels of information security, that is, trust at the level of cryptography and watermarking and at the level of securing multimedia data. Covering topics such as background subtraction, moving object detection, and visual watermark identification, this premier reference source is an excellent resource for security and privacy professionals, IT managers, practitioners, students and educators of higher education, librarians, researchers, and academicians.
The field of cybersecurity is becoming increasingly important due to the continuously expanding reliance on computer systems, the internet, wireless network standards such as Bluetooth and wi-fi, and the growth of "smart" devices, including smartphones, televisions, and the various devices that constitute the internet of things (IoT). Cybersecurity is also one of the significant challenges in the contemporary world, due to its complexity, both in terms of political usage and technology. The Handbook of Research on Cybersecurity Risk in Contemporary Business Systems examines current risks involved in the cybersecurity of various business systems today from a global perspective and investigates critical business systems. Covering key topics such as artificial intelligence, hacking, and software, this reference work is ideal for computer scientists, industry professionals, policymakers, researchers, academicians, scholars, instructors, and students.
Disruptive innovations are now propelling Industry 4.0 (I4.0) and presenting new opportunities for value generation in all major industry segments. I4.0 technologies' innovations in cybersecurity and data science provide smart apps and services with accurate real-time monitoring and control. Through enhanced access to real-time information, it also aims to increase overall effectiveness, lower costs, and increase the efficiency of people, processes, and technology. The Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies discusses the technological foundations of cybersecurity and data science within the scope of the I4.0 landscape and details the existing cybersecurity and data science innovations with I4.0 applications, as well as state-of-the-art solutions with regard to both academic research and practical implementations. Covering key topics such as data science, blockchain, and artificial intelligence, this premier reference source is ideal for industry professionals, computer scientists, scholars, researchers, academicians, practitioners, instructors, and students.
In this comprehensive and cutting-edge volume, Qureshi and Jeon bring together experts from around the world to explore the potential of artificial intelligence models in research and discuss the potential benefits and the concerns and challenges that the rapid development of this field has raised. The international chapter contributor group provides a wealth of technical information on different aspects of AI, including key aspects of AI, deep learning and machine learning models for AI, natural language processing and computer vision, reinforcement learning, ethics and responsibilities, security, practical implementation, and future directions. The contents are balanced in terms of theory, methodologies, and technical aspects, and contributors provide case studies to clearly illustrate the concepts and technical discussions throughout. Readers will gain valuable insights into how AI can revolutionize their work in fields including data analytics and pattern identification, healthcare research, social science research, and more, and improve their technical skills, problem-solving abilities, and evidence-based decision-making. Additionally, they will be cognizant of the limitations and challenges, the ethical implications, and security concerns related to language models, which will enable them to make more informed choices regarding their implementation. This book is an invaluable resource for undergraduate and graduate students who want to understand AI models, recent trends in the area, and technical and ethical aspects of AI. Companies involved in AI development or implementing AI in various fields will also benefit from the book’s discussions on both the technical and ethical aspects of this rapidly growing field.
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Online user privacy is a delicate issue that has been unfortunately overlooked by technology corporations and especially the public since the birth of the internet. Many online businesses and services such as web search engines, retailers, and social network sites exploit user data for profit. There is a misconception among people about the term "privacy." Usually, people think that privacy is the ability of an individual to isolate themselves or that it is a person's right to control access to their personal information. However, privacy is not just about revealing secret information; it also includes exploiting user personal data, as the exploitation of personal data may lead to disastrous consequences. Protecting User Privacy in Web Search Utilization presents both multidisciplinary and interdisciplinary works on questions related to experiences and phenomena that can or could be covered by concepts regarding the protection and privacy of web service users. It further highlights the importance of web search privacy to the readers and educates them about recent developments in the field. Covering topics such as AI-based intrusion detection, desktop search engines, and privacy risks, this premier reference source is an essential resource for students and educators of higher education, data experts, privacy professionals and engineers, IT managers, software developers, government officials, archivists and librarians, privacy rights activists, researchers, and academicians.