Advanced Machine Learning Ai And Cybersecurity In Web3 Theoretical Knowledge And Practical Application
DOWNLOAD
Download Advanced Machine Learning Ai And Cybersecurity In Web3 Theoretical Knowledge And Practical Application PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Advanced Machine Learning Ai And Cybersecurity In Web3 Theoretical Knowledge And Practical Application book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Advanced Machine Learning Ai And Cybersecurity In Web3 Theoretical Knowledge And Practical Application
DOWNLOAD
Author : Hadj Ahmed Bouarara
language : en
Publisher:
Release Date : 2024
Advanced Machine Learning Ai And Cybersecurity In Web3 Theoretical Knowledge And Practical Application written by Hadj Ahmed Bouarara and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
Advanced Machine Learning Ai And Cybersecurity In Web3 Theoretical Knowledge And Practical Application
DOWNLOAD
Author : Bouarara, Hadj Ahmed
language : en
Publisher: IGI Global
Release Date : 2024-08-23
Advanced Machine Learning Ai And Cybersecurity In Web3 Theoretical Knowledge And Practical Application written by Bouarara, Hadj Ahmed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-23 with Computers categories.
In the evolving landscape of Web3, the use of advanced machine learning, artificial intelligence, and cybersecurity transforms industries through theoretical exploration and practical application. The integration of advanced machine learning and AI techniques promises enhanced security protocols, predictive analytics, and adaptive defenses against the increasing number of cyber threats. However, these technological improvements also raise questions regarding privacy, transparency, and the ethical implications of AI-driven security measures. Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application explores theories and applications of improved technological techniques in Web 3.0. It addresses the challenges inherent to decentralization while harnessing the benefits offered by advances, thereby paving the way for a safer and more advanced digital era. Covering topics such as fraud detection, cryptocurrency, and data management, this book is a useful resource for computer engineers, financial institutions, security and IT professionals, business owners, researchers, scientists, and academicians.
Ai Machine Learning And Deep Learning
DOWNLOAD
Author : Fei Hu
language : en
Publisher: CRC Press
Release Date : 2023-06-05
Ai Machine Learning And Deep Learning written by Fei Hu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-05 with Computers categories.
Today, Artificial Intelligence (AI) and Machine Learning/ Deep Learning (ML/DL) have become the hottest areas in information technology. In our society, many intelligent devices rely on AI/ML/DL algorithms/tools for smart operations. Although AI/ML/DL algorithms and tools have been used in many internet applications and electronic devices, they are also vulnerable to various attacks and threats. AI parameters may be distorted by the internal attacker; the DL input samples may be polluted by adversaries; the ML model may be misled by changing the classification boundary, among many other attacks and threats. Such attacks can make AI products dangerous to use. While this discussion focuses on security issues in AI/ML/DL-based systems (i.e., securing the intelligent systems themselves), AI/ML/DL models and algorithms can actually also be used for cyber security (i.e., the use of AI to achieve security). Since AI/ML/DL security is a newly emergent field, many researchers and industry professionals cannot yet obtain a detailed, comprehensive understanding of this area. This book aims to provide a complete picture of the challenges and solutions to related security issues in various applications. It explains how different attacks can occur in advanced AI tools and the challenges of overcoming those attacks. Then, the book describes many sets of promising solutions to achieve AI security and privacy. The features of this book have seven aspects: This is the first book to explain various practical attacks and countermeasures to AI systems Both quantitative math models and practical security implementations are provided It covers both "securing the AI system itself" and "using AI to achieve security" It covers all the advanced AI attacks and threats with detailed attack models It provides multiple solution spaces to the security and privacy issues in AI tools The differences among ML and DL security and privacy issues are explained Many practical security applications are covered
Protecting And Mitigating Against Cyber Threats
DOWNLOAD
Author : Sachi Nandan Mohanty
language : en
Publisher: John Wiley & Sons
Release Date : 2025-07-29
Protecting And Mitigating Against Cyber Threats written by Sachi Nandan Mohanty and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-29 with Computers categories.
The book provides invaluable insights into the transformative role of AI and ML in security, offering essential strategies and real-world applications to effectively navigate the complex landscape of today’s cyber threats. Protecting and Mitigating Against Cyber Threats delves into the dynamic junction of artificial intelligence (AI) and machine learning (ML) within the domain of security solicitations. Through an exploration of the revolutionary possibilities of AI and ML technologies, this book seeks to disentangle the intricacies of today’s security concerns. There is a fundamental shift in the security soliciting landscape, driven by the extraordinary expansion of data and the constant evolution of cyber threat complexity. This shift calls for a novel strategy, and AI and ML show great promise for strengthening digital defenses. This volume offers a thorough examination, breaking down the concepts and real-world uses of this cutting-edge technology by integrating knowledge from cybersecurity, computer science, and related topics. It bridges the gap between theory and application by looking at real-world case studies and providing useful examples. Protecting and Mitigating Against Cyber Threats provides a roadmap for navigating the changing threat landscape by explaining the current state of AI and ML in security solicitations and projecting forthcoming developments, bringing readers through the unexplored realms of AI and ML applications in protecting digital ecosystems, as the need for efficient security solutions grows. It is a pertinent addition to the multi-disciplinary discussion influencing cybersecurity and digital resilience in the future. Readers will find in this book: Provides comprehensive coverage on various aspects of security solicitations, ranging from theoretical foundations to practical applications; Includes real-world case studies and examples to illustrate how AI and machine learning technologies are currently utilized in security solicitations; Explores and discusses emerging trends at the intersection of AI, machine learning, and security solicitations, including topics like threat detection, fraud prevention, risk analysis, and more; Highlights the growing importance of AI and machine learning in security contexts and discusses the demand for knowledge in this area. Audience Cybersecurity professionals, researchers, academics, industry professionals, technology enthusiasts, policymakers, and strategists interested in the dynamic intersection of artificial intelligence (AI), machine learning (ML), and cybersecurity.
Securing The Future Cybersecurity Strategies With Ai Ml And Generative Ai
DOWNLOAD
Author : Purshotam Singh Yadav
language : en
Publisher: JEC PUBLICATION
Release Date :
Securing The Future Cybersecurity Strategies With Ai Ml And Generative Ai written by Purshotam Singh Yadav and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Young Adult Nonfiction categories.
.....
Artificial Intelligence And Cyber Security In Industry 4 0
DOWNLOAD
Author : Velliangiri Sarveshwaran
language : en
Publisher: Springer Nature
Release Date : 2023-06-13
Artificial Intelligence And Cyber Security In Industry 4 0 written by Velliangiri Sarveshwaran and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-13 with Computers categories.
This book provides theoretical background and state-of-the-art findings in artificial intelligence and cybersecurity for industry 4.0 and helps in implementing AI-based cybersecurity applications. Machine learning-based security approaches are vulnerable to poison datasets which can be caused by a legitimate defender's misclassification or attackers aiming to evade detection by contaminating the training data set. There also exist gaps between the test environment and the real world. Therefore, it is critical to check the potentials and limitations of AI-based security technologies in terms of metrics such as security, performance, cost, time, and consider how to incorporate them into the real world by addressing the gaps appropriately. This book focuses on state-of-the-art findings from both academia and industry in big data security relevant sciences, technologies, and applications.
Artificial Intelligence For Cyber Security And Industry 4 0
DOWNLOAD
Author : Dinesh Sharma
language : en
Publisher: CRC Press
Release Date : 2025-04-22
Artificial Intelligence For Cyber Security And Industry 4 0 written by Dinesh Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-22 with Computers categories.
Artificial Intelligence for Cyber Security and Industry 4.0 offers a comprehensive exploration of the intersection of artificial intelligence (AI) and cyber security, providing readers with a thorough understanding of both the advantages and risks posed by AI technologies in modern industries. Covering a wide array of topics, from data anonymization and intrusion detection to AI's role in cloud security, border surveillance, and healthcare, this book addresses current challenges and proposes innovative solutions. It also highlights ethical concerns related to AI's use in weapon autonomy and border migration. This book is ideal for researchers, industry professionals, policy makers, and students looking to deepen their knowledge of AI's impact on cyber security and its applications in the evolving landscape of Industry 4.0. Through practical insights and forward-thinking discussions, readers will gain a well-rounded perspective on how AI can be leveraged for security while being mindful of emerging risks. Key Features: Explores the dual role of AI in strengthening and threatening cyber security in the context of Industry 4.0 Provides an in-depth analysis of AI-driven cyber security techniques, including machine learning-based intrusion detection and data anonymization Investigates the malicious use of AI, addressing both expanded existing threats and the emergence of novel vulnerabilities Discusses advanced software design for privacy preservation in big data environments Covers the use of AI in specific security domains, such as border surveillance, healthcare, and the Internet of Things Highlights AI applications in cloud security, data integrity, and privacy protection Introduces Quantum Machine Learning algorithms and their relevance to cyber security Explores the ethical concerns surrounding AI technologies, particularly in the context of weapon autonomy and border migration Includes real-world scenarios and methodologies, bridging the gap between academic research and industry practice Offers forward-looking insights into the role of AI in future cyber security challenges and solutions
Leveraging Futuristic Machine Learning And Next Generational Security For E Governance
DOWNLOAD
Author : Kumar, Rajeev
language : en
Publisher: IGI Global
Release Date : 2024-12-05
Leveraging Futuristic Machine Learning And Next Generational Security For E Governance written by Kumar, Rajeev and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-05 with Computers categories.
In an era defined by rapid technological advancement and a pressing need for effective governance, the intersection of machine learning and cybersecurity has emerged as a pivotal area of exploration and innovation. E-governance serves as a vital framework for enhancing the delivery of public services, increasing governmental transparency, and fostering citizen engagement. However, as governments increasingly rely on digital infrastructures, they expose themselves to a myriad of cyber threats that can undermine public trust and security. The contemporary landscape of e-governance must not only adapt to the wave of new digital tools but also ensure the security and integrity of the data that underpins them. Leveraging Futuristic Machine Learning and Next-Generational Security for e-Governance brings together a comprehensive collection of insights and research from leading experts in the fields of artificial intelligence, cybersecurity, and public administration. The contributions to this volume encompass theoretical frameworks, case studies, and practical applications that showcase the transformative potential of integrating machine learning with next-generation security solutions. With this resource, researchers, practitioners, and academics can work toward a new age where e-governance thrives at the nexus of machine learning and cybersecurity.
Artificial Intelligence In Cyber Security Theories And Applications
DOWNLOAD
Author : Tushar Bhardwaj
language : en
Publisher: Springer Nature
Release Date : 2023-10-06
Artificial Intelligence In Cyber Security Theories And Applications written by Tushar Bhardwaj and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-06 with Technology & Engineering categories.
This book highlights the applications and theory of artificial intelligence in the domain of cybersecurity. The book proposes new approaches and ideas to present applications of innovative approaches in real-time environments. In the past few decades, there has been an exponential rise in the application of artificial intelligence technologies (such as deep learning, machine learning, blockchain) for solving complex and intricate problems arising in the domain of cybersecurity. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. This book serves as a reference for young scholars, researchers, and industry professionals working in the field of Artificial Intelligence and Cybersecurity.
Navigating The Intersection Of Artificial Intelligence Security And Ethical Governance
DOWNLOAD
Author : Reza Montasari
language : en
Publisher: Springer Nature
Release Date : 2024-11-26
Navigating The Intersection Of Artificial Intelligence Security And Ethical Governance written by Reza Montasari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-26 with Computers categories.
This book not only equips the readers with the essential knowledge to gain a nuanced understanding of the present cyber threat landscape but also offers strategic foresight to navigate the challenges looming on our digital horizon. In the ever-evolving realm of cyberspace, this meticulously crafted book reveals the escalating cyber threats challenging the foundations of global security and governance. Unprecedented in its synthesis of academic rigour and practical insight, “Sentinels of Cyberspace: Navigating the Intersection of AI, Security, and Ethical Governance in Western Democracies” demystifies the complex relationship between cybersecurity and AI. Rich with comprehensive literature reviews, insightful case studies, and forward-looking perspectives, this book serves as an indispensable guide for scholars, policymakers, practitioners, researchers, and all those concerned with the security fabric of Western democracies. Its unique blend of theoretical frameworks and real-world scenarios creates a transformative bridge between academic discourse and practical application. From foundational explorations of AI to in-depth analyses of its applications in decision-making, crime analysis, counter-terrorism, and predictive modelling, each chapter weaves a narrative that not only articulates contemporary challenges but also lays the groundwork for practical solutions. This transformative work actively engages with ethical dimensions, ensuring a delicate balance between theoretical insights and actionable considerations. More than just informative, “Sentinels of Cyberspace: Navigating the Intersection of Artificial Intelligence, Security, and Ethical Governance in Western Democracies” is a roadmap to navigate the intricate landscape of cybersecurity and AI integration, propelling the discourse towards innovative solutions. For those intrigued by the evolving dynamics of our digital era, this book is an essential companion, offering strategic foresight to understand and address the pressing issues at the intersection of technology, security, and governance.