Narasimha Rao Vajjhala – författare

This book is aimed at managerial decision makers, practitioners in any field, and the academic community. The chapter authors have integrated theory with evidence-based practice to go beyond merely explaining cybersecurity topics. To accomplish this, the editors drew upon the combined cognitive intelligence of 46 scholars from 11 countries to present the state of the art in cybersecurity. Managers and leaders at all levels in organizations around the globe will find the explanations and suggestions useful for understanding cybersecurity risks as well as formulating strategies to mitigate future problems. Employees will find the examples and caveats both interesting as well as practical for everyday activities at the workplace and in their personal lives. Cybersecurity practitioners in computer science, programming, or espionage will find the literature and statistics fascinating and more than likely a confirmation of their own findings and assumptions. Government policymakers will find the book valuable to inform their new agenda of protecting citizens and infrastructure in any country around the world. Academic scholars, professors, instructors, and students will find the theories, models, frameworks, and discussions relevant and supportive to teaching as well as research.

This book is aimed at managerial decision makers, practitioners in any field, and the academic community. The chapter authors have integrated theory with evidence-based practice to go beyond merely explaining cybersecurity topics. To accomplish this, the editors drew upon the combined cognitive intelligence of 46 scholars from 11 countries to present the state of the art in cybersecurity. Managers and leaders at all levels in organizations around the globe will find the explanations and suggestions useful for understanding cybersecurity risks as well as formulating strategies to mitigate future problems. Employees will find the examples and caveats both interesting as well as practical for everyday activities at the workplace and in their personal lives. Cybersecurity practitioners in computer science, programming, or espionage will find the literature and statistics fascinating and more than likely a confirmation of their own findings and assumptions. Government policymakers will find the book valuable to inform their new agenda of protecting citizens and infrastructure in any country around the world. Academic scholars, professors, instructors, and students will find the theories, models, frameworks, and discussions relevant and supportive to teaching as well as research.

This book explores the transformative potential of artificial intelligence (AI) in addressing critical humanitarian challenges. It examines AI’s role in enhancing emergency responses, poverty alleviation, and healthcare.

Chapters authored by a diverse group of international contributors cover topics such as AI’s application in disease prediction, ethical AI practices, and innovative resource distribution. This book uniquely blends theoretical insights with practical case studies, providing a road map for leveraging AI in humanitarian efforts. Readers will benefit from detailed explorations of AI’s capabilities and challenges, gaining insights into how AI can drive social change and improve global humanitarian outcomes.

Targeted at policymakers, researchers, practitioners, and anyone interested in the intersection of AI and humanitarianism, this book offers valuable perspectives on ensuring AI technologies are both advanced and ethically sound.

This book explores the transformative potential of artificial intelligence (AI) in addressing critical humanitarian challenges. It examines AI’s role in enhancing emergency responses, poverty alleviation, and healthcare.

Chapters authored by a diverse group of international contributors cover topics such as AI’s application in disease prediction, ethical AI practices, and innovative resource distribution. This book uniquely blends theoretical insights with practical case studies, providing a road map for leveraging AI in humanitarian efforts. Readers will benefit from detailed explorations of AI’s capabilities and challenges, gaining insights into how AI can drive social change and improve global humanitarian outcomes.

Targeted at policymakers, researchers, practitioners, and anyone interested in the intersection of AI and humanitarianism, this book offers valuable perspectives on ensuring AI technologies are both advanced and ethically sound.

In an era where digital transformation is vital across industries, protecting knowledge and information assets has become critical. Cybersecurity in Knowledge Management: Cyberthreats and Solutions explores the intersection of knowledge management and cybersecurity, offering an in-depth examination of the strategies, technologies, and frameworks necessary to safeguard organizational knowledge systems. As cyber threats grow more sophisticated, particularly within sectors such as digital marketing, supply chains, and higher education, this book examines methods for enhancing cybersecurity while maintaining the agility needed to foster innovation. By incorporating perspectives from artificial intelligence, machine learning, and human factors, this work provides a holistic approach to securing knowledge in today’s interconnected landscape.

This book includes an analysis of AI and machine learning applications for cybersecurity, a comparative review of malware classification techniques, and real-world case studies illustrating cybersecurity breaches and insider threats affecting knowledge ecosystems. This book addresses unique challenges within the African digital space, explores social engineering tactics, and emphasizes the role of organizational culture in maintaining knowledge security. Key topics include cybersecurity requirements in digital marketing, the post-COVID impact on knowledge transfer in higher education, and the importance of regulatory compliance and cross-industry collaboration.

With its multidisciplinary perspective, Cybersecurity in Knowledge Management: Cyberthreats and Solutions is ideal for professionals, researchers, and policymakers. This comprehensive guide equips readers with the insights needed to build resilient cybersecurity programs that protect essential knowledge assets, enabling organizations to meet today’s cybersecurity demands while maintaining a sustainable competitive advantage in an evolving digital environment.

In an era where digital transformation is vital across industries, protecting knowledge and information assets has become critical. Cybersecurity in Knowledge Management: Cyberthreats and Solutions explores the intersection of knowledge management and cybersecurity, offering an in-depth examination of the strategies, technologies, and frameworks necessary to safeguard organizational knowledge systems. As cyber threats grow more sophisticated, particularly within sectors such as digital marketing, supply chains, and higher education, this book examines methods for enhancing cybersecurity while maintaining the agility needed to foster innovation. By incorporating perspectives from artificial intelligence, machine learning, and human factors, this work provides a holistic approach to securing knowledge in today’s interconnected landscape.

This book includes an analysis of AI and machine learning applications for cybersecurity, a comparative review of malware classification techniques, and real-world case studies illustrating cybersecurity breaches and insider threats affecting knowledge ecosystems. This book addresses unique challenges within the African digital space, explores social engineering tactics, and emphasizes the role of organizational culture in maintaining knowledge security. Key topics include cybersecurity requirements in digital marketing, the post-COVID impact on knowledge transfer in higher education, and the importance of regulatory compliance and cross-industry collaboration.

With its multidisciplinary perspective, Cybersecurity in Knowledge Management: Cyberthreats and Solutions is ideal for professionals, researchers, and policymakers. This comprehensive guide equips readers with the insights needed to build resilient cybersecurity programs that protect essential knowledge assets, enabling organizations to meet today’s cybersecurity demands while maintaining a sustainable competitive advantage in an evolving digital environment.

This book examines the transformative potential of integrating explainable artificial intelligence (XAI) and blockchain technology in modern supply chain management.

It explores how these innovative technologies address pressing challenges such as data transparency, traceability, fraud prevention, and operational efficiency in complex global supply chains. With detailed analyses, case studies, and real-world applications, these chapters provide insights into leveraging XAI to demystify AI decision-making and blockchain, ensuring data security and decentralized accountability. Key topics include sustainable practices, smart contract automation, and human-centric approaches to enhancing trust and collaboration among stakeholders.

This comprehensive volume serves as a valuable resource for academics, industry leaders, and policymakers seeking to harness cutting-edge technologies for building resilient and transparent supply chains.

This book examines the transformative potential of integrating explainable artificial intelligence (XAI) and blockchain technology in modern supply chain management.

It explores how these innovative technologies address pressing challenges such as data transparency, traceability, fraud prevention, and operational efficiency in complex global supply chains. With detailed analyses, case studies, and real-world applications, these chapters provide insights into leveraging XAI to demystify AI decision-making and blockchain, ensuring data security and decentralized accountability. Key topics include sustainable practices, smart contract automation, and human-centric approaches to enhancing trust and collaboration among stakeholders.

This comprehensive volume serves as a valuable resource for academics, industry leaders, and policymakers seeking to harness cutting-edge technologies for building resilient and transparent supply chains.

This book is essential reading for those in healthcare informatics, as well as healthcare administrators, clinicians, and regulators, as they navigate the evolving landscape of healthcare post-pandemic. —Dr. Steven D. Berkshire, professor and director of the Doctor of Health Administration Program, Central Michigan University

The coronavirus disease 2019 (COVID-19) pandemic brought unprecedented challenges to global healthcare systems, revealing vulnerabilities and pushing the boundaries of healthcare informatics. In response, the rapid adoption of digital tools and innovative technologies reshaped the way healthcare is delivered, managed, and analyzed. This transformation has not only revolutionized patient care but also underscored the importance of adopting new strategies to ensure data security, interoperability, and equitable access to healthcare services.

Healthcare Informatics Innovation Post-COVID-19 Pandemic explores the lasting impact of these innovations on the healthcare sector. The book examines the key lessons learned from the pandemic, as well as the challenges and opportunities that have emerged in its wake. It covers a broad range of topics, including telehealth, artificial intelligence (AI), the Internet of Things (IoT), and cybersecurity, and examines the critical role each plays in transforming healthcare delivery.

Highlights include:

The book’s chapters were written by contributors from diverse academic and professional backgrounds.Together, they share their expertise in healthcare, information technology, and policy. Through their insights, the book provides a comprehensive overview of the current state of healthcare informatics and offers a roadmap for future advancements. This book was written to address the growing recognition that healthcare systems worldwide must be resilient, adaptable, and equipped with cutting-edge tools to navigate future public health crises. As healthcare professionals, academics, policymakers, and technologists work together, it is crucial to share knowledge and collaborate on innovative solutions that can sustain the progress made during the pandemic.

This book is essential reading for those in healthcare informatics, as well as healthcare administrators, clinicians, and regulators, as they navigate the evolving landscape of healthcare post-pandemic. —Dr. Steven D. Berkshire, professor and director of the Doctor of Health Administration Program, Central Michigan University

The coronavirus disease 2019 (COVID-19) pandemic brought unprecedented challenges to global healthcare systems, revealing vulnerabilities and pushing the boundaries of healthcare informatics. In response, the rapid adoption of digital tools and innovative technologies reshaped the way healthcare is delivered, managed, and analyzed. This transformation has not only revolutionized patient care but also underscored the importance of adopting new strategies to ensure data security, interoperability, and equitable access to healthcare services.

Healthcare Informatics Innovation Post-COVID-19 Pandemic explores the lasting impact of these innovations on the healthcare sector. The book examines the key lessons learned from the pandemic, as well as the challenges and opportunities that have emerged in its wake. It covers a broad range of topics, including telehealth, artificial intelligence (AI), the Internet of Things (IoT), and cybersecurity, and examines the critical role each plays in transforming healthcare delivery.

Highlights include:

The book’s chapters were written by contributors from diverse academic and professional backgrounds.Together, they share their expertise in healthcare, information technology, and policy. Through their insights, the book provides a comprehensive overview of the current state of healthcare informatics and offers a roadmap for future advancements. This book was written to address the growing recognition that healthcare systems worldwide must be resilient, adaptable, and equipped with cutting-edge tools to navigate future public health crises. As healthcare professionals, academics, policymakers, and technologists work together, it is crucial to share knowledge and collaborate on innovative solutions that can sustain the progress made during the pandemic.

AI-Enabled Threat Intelligence and Cyber Risk Assessment delves into the transformative potential of artificial intelligence (AI) in revolutionizing cybersecurity, offering a comprehensive exploration of current trends, challenges, and future possibilities in mitigating cyber risks. This book brings together cutting-edge research and practical insights from an international team of experts to examine how AI technologies are reshaping threat intelligence, safeguarding data, and driving digital transformation across industries. The book covers a broad spectrum of topics, including AI-driven fraud prevention in digital marketing, strategies for building customer trust through data privacy, and the role of AI in enhancing educational and healthcare cybersecurity systems. Through in-depth analyses and case studies, this book highlights the barriers to AI adoption, the legal and ethical considerations, and the development of resilient cybersecurity frameworks.

Special emphasis is given to regional insights, such as the digital transformation of Kazakh businesses and the integration of AI in diverse global contexts, offering valuable lessons for researchers, policymakers, and practitioners. From safeguarding patient data in healthcare to addressing automated threats in digital marketing, this book provides actionable strategies and emerging perspectives on the evolving landscape of AI in risk management. Designed for academics, professionals, and students, AI-Enabled Threat Intelligence and Cyber Risk Assessment serves as an essential resource for understanding the intersection of AI, cybersecurity, and risk assessment. With contributions from leading researchers across various disciplines, this book underscores the critical role of AI in building resilient, ethical, and innovative solutions to today’s most pressing cybersecurity challenges.

AI-Enabled Threat Intelligence and Cyber Risk Assessment delves into the transformative potential of artificial intelligence (AI) in revolutionizing cybersecurity, offering a comprehensive exploration of current trends, challenges, and future possibilities in mitigating cyber risks. This book brings together cutting-edge research and practical insights from an international team of experts to examine how AI technologies are reshaping threat intelligence, safeguarding data, and driving digital transformation across industries. The book covers a broad spectrum of topics, including AI-driven fraud prevention in digital marketing, strategies for building customer trust through data privacy, and the role of AI in enhancing educational and healthcare cybersecurity systems. Through in-depth analyses and case studies, this book highlights the barriers to AI adoption, the legal and ethical considerations, and the development of resilient cybersecurity frameworks.

Special emphasis is given to regional insights, such as the digital transformation of Kazakh businesses and the integration of AI in diverse global contexts, offering valuable lessons for researchers, policymakers, and practitioners. From safeguarding patient data in healthcare to addressing automated threats in digital marketing, this book provides actionable strategies and emerging perspectives on the evolving landscape of AI in risk management. Designed for academics, professionals, and students, AI-Enabled Threat Intelligence and Cyber Risk Assessment serves as an essential resource for understanding the intersection of AI, cybersecurity, and risk assessment. With contributions from leading researchers across various disciplines, this book underscores the critical role of AI in building resilient, ethical, and innovative solutions to today’s most pressing cybersecurity challenges.

This book presents a comprehensive analysis of the transformative impact of artificial intelligence (AI) across legal frameworks within the European Union and beyond. It illustrates both the promising benefits of AI in improving access to justice and the significant challenges that necessitate thoughtful regulatory frameworks and interdisciplinary cooperation.

It highlights the expansive applications of AI, ranging from case management to predictive analytics, while also scrutinizing ethical challenges and legal implications. The book addresses the pressing issue of data protection in the context of Generative Pre-trained Transformer (GPT) technology, emphasizing the EU’s commitment to individual privacy rights. The book also evaluates AI''s role in public governance, using Albania as a case study, and examines the potential of blockchain technology in enhancing legal processes. The ethical nuances surrounding AI''s integration into legal systems are critically examined, particularly regarding algorithmic bias and human oversight. The book advocates for a collaborative approach involving legal experts and data scientists to navigate these complexities effectively.

This book is a key resource for postgraduate students, researchers, and professionals in legal fields seeking to better understand the benefits and risks of incorporating AI into legal practices.

This book presents a comprehensive analysis of the transformative impact of artificial intelligence (AI) across legal frameworks within the European Union and beyond. It illustrates both the promising benefits of AI in improving access to justice and the significant challenges that necessitate thoughtful regulatory frameworks and interdisciplinary cooperation.

It highlights the expansive applications of AI, ranging from case management to predictive analytics, while also scrutinizing ethical challenges and legal implications. The book addresses the pressing issue of data protection in the context of Generative Pre-trained Transformer (GPT) technology, emphasizing the EU’s commitment to individual privacy rights. The book also evaluates AI''s role in public governance, using Albania as a case study, and examines the potential of blockchain technology in enhancing legal processes. The ethical nuances surrounding AI''s integration into legal systems are critically examined, particularly regarding algorithmic bias and human oversight. The book advocates for a collaborative approach involving legal experts and data scientists to navigate these complexities effectively.

This book is a key resource for postgraduate students, researchers, and professionals in legal fields seeking to better understand the benefits and risks of incorporating AI into legal practices.