Explainable Ai For Cybersecurity

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Explainable Ai For Cybersecurity

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Author : Zhixin Pan
language : en
Publisher: Springer Nature
Release Date : 2023-12-12

Explainable Ai For Cybersecurity written by Zhixin Pan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-12 with Computers categories.

This book provides a comprehensive overview of security vulnerabilities and state-of-the-art countermeasures using explainable artificial intelligence (AI). Specifically, it describes how explainable AI can be effectively used for detection and mitigation of hardware vulnerabilities (e.g., hardware Trojans) as well as software attacks (e.g., malware and ransomware). It provides insights into the security threats towards machine learning models and presents effective countermeasures. It also explores hardware acceleration of explainable AI algorithms. The reader will be able to comprehend a complete picture of cybersecurity challenges and how to detect them using explainable AI. This book serves as a single source of reference for students, researchers, engineers, and practitioners for designing secure and trustworthy systems.

Explainable Artificial Intelligence For Cyber Security

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Author : Mohiuddin Ahmed
language : en
Publisher: Springer Nature
Release Date : 2022-04-18

Explainable Artificial Intelligence For Cyber Security written by Mohiuddin Ahmed and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-18 with Computers categories.

This book presents that explainable artificial intelligence (XAI) is going to replace the traditional artificial, machine learning, deep learning algorithms which work as a black box as of today. To understand the algorithms better and interpret the complex networks of these algorithms, XAI plays a vital role. In last few decades, we have embraced AI in our daily life to solve a plethora of problems, one of the notable problems is cyber security. In coming years, the traditional AI algorithms are not able to address the zero-day cyber attacks, and hence, to capitalize on the AI algorithms, it is absolutely important to focus more on XAI. Hence, this book serves as an excellent reference for those who are working in cyber security and artificial intelligence.

Machine Learning Deep Learning And Ai For Cybersecurity

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Author : Mark Stamp
language : en
Publisher: Springer Nature
Release Date : 2025-05-09

Machine Learning Deep Learning And Ai For Cybersecurity written by Mark Stamp and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-09 with Mathematics categories.

This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and deep learning algorithms to inherently difficult problems in the security domain, such as malware detection and analysis, intrusion detection, spam detection, and various other subfields of cybersecurity. The book places particular attention on data driven approaches, where minimal expert domain knowledge is required. This book bridges some of the gaps that exist between deep learning/AI research and practical problems in cybersecurity. The proposed topics cover a wide range of deep learning and AI techniques, including novel frameworks and development tools enabling the audience to innovate with these cutting-edge research advancements in various security-related use cases. The book is timely since it is not common to find clearly elucidated research that applies the latest developments in AI to problems in cybersecurity.

Advances In Explainable Ai Applications For Smart Cities

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Author : Ghonge, Mangesh M.
language : en
Publisher: IGI Global
Release Date : 2024-01-18

Advances In Explainable Ai Applications For Smart Cities written by Ghonge, Mangesh M. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-18 with Computers categories.

As smart cities become more prevalent, the need for explainable AI (XAI) applications has become increasingly important. Advances in Explainable AI Applications for Smart Cities is a co-edited book that showcases the latest research and development in XAI for smart city applications. This book covers a wide range of topics, including medical diagnosis, finance and banking, judicial systems, military training, manufacturing industries, autonomous vehicles, insurance claim management, and cybersecurity solutions. Through its diverse case studies and research, this book provides valuable insights into the importance of XAI in smart city applications. This book is an essential resource for undergraduate and postgraduate students, researchers, academicians, industry professionals, and scientists working in research laboratories. It provides a comprehensive overview of XAI concepts, advantages over AI, and its applications in smart city development. By showcasing the impact of XAI on various smart city applications, the book enables readers to understand the importance of XAI in creating more sustainable and efficient smart cities. Additionally, the book addresses the open challenges and research issues related to XAI in modern smart cities, providing a roadmap for future research in this field. Overall, this book is a valuable resource for anyone interested in understanding the importance of XAI in smart city applications.

Ai Driven Cyber Security

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Author : S. R. Jena
language : en
Publisher: Scholars' Press
Release Date : 2024-01-17

Ai Driven Cyber Security written by S. R. Jena and has been published by Scholars' Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-17 with Computers categories.

Welcome to the forefront of modern cyber security – a landscape shaped and transformed by the relentless evolution of Artificial Intelligence (AI) and Deep Learning technologies. As we stand at the precipice of the digital era, the need for robust, intelligent defense mechanisms against cyber threats has never been more pressing. This book, "AI-Driven Cyber Security: Navigating the Digital Frontier with Deep Learning" embarks on a comprehensive journey through the intricate realm where cutting-edge AI meets the ever-evolving challenges of cyber security. In the interconnected world we inhabit, where data is the lifeblood of every organisation, the marriage of AI and cyber security becomes not just a choice but a necessity. Moreover, the book contains 8 chapters. They are: 1. Introduction to Cyber Security 2. Foundations of Cyber Security 3. Basics of AI and Deep Learning 4. AI in Cyber Security: An Overview 5. Deep Learning for Threat Detection 6. Natural Language Processing (NLP) in Cyber Security 7. Adversarial Machine Learning 8. Explainability and Transparency in AI Security

Artificial Intelligence For Cybersecurity

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Author : Mark Stamp
language : en
Publisher: Springer Nature
Release Date : 2022-07-15

Artificial Intelligence For Cybersecurity written by Mark Stamp and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-15 with Computers categories.

This book explores new and novel applications of machine learning, deep learning, and artificial intelligence that are related to major challenges in the field of cybersecurity. The provided research goes beyond simply applying AI techniques to datasets and instead delves into deeper issues that arise at the interface between deep learning and cybersecurity. This book also provides insight into the difficult "how" and "why" questions that arise in AI within the security domain. For example, this book includes chapters covering "explainable AI", "adversarial learning", "resilient AI", and a wide variety of related topics. It’s not limited to any specific cybersecurity subtopics and the chapters touch upon a wide range of cybersecurity domains, ranging from malware to biometrics and more. Researchers and advanced level students working and studying in the fields of cybersecurity (equivalently, information security) or artificial intelligence (including deep learning, machine learning, big data, and related fields) will want to purchase this book as a reference. Practitioners working within these fields will also be interested in purchasing this book.

Artificial Intelligence And Cybersecurity In Healthcare

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Author : Rashmi Agrawal
language : en
Publisher: John Wiley & Sons
Release Date : 2025-02-21

Artificial Intelligence And Cybersecurity In Healthcare written by Rashmi Agrawal 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 2025-02-21 with Computers categories.

Artificial Intelligence and Cybersecurity in Healthcare provides a crucial exploration of AI and cybersecurity within healthcare Cyber Physical Systems (CPS), offering insights into the complex technological landscape shaping modern patient care and data protection. As technology advances, healthcare has transformed, particularly through the implementation of CPS that integrate the digital and physical worlds, enhancing system efficiency and effectiveness. This increased reliance on technology raises significant security concerns. The book addresses the integration of AI and cybersecurity in healthcare CPS, detailing technological advancements, applications, and the challenges they present. AI applications in healthcare CPS include remote patient monitoring, AI chatbots for patient assistance, and biometric authentication for data security. AI not only improves patient care and clinical decision-making by analyzing extensive data and optimizing treatment plans, but also enhances CPS security by detecting and responding to cyber threats. Nonetheless, AI systems are susceptible to attacks, emphasizing the need for robust cybersecurity. Significant issues include the privacy and security of sensitive healthcare data, potential identity theft, and medical fraud from data breaches, alongside ethical concerns such as algorithmic bias. As the healthcare industry becomes increasingly digital and data-driven, integrating AI and cybersecurity measures into CPS is essential. This requires collaboration among healthcare providers, tech vendors, regulatory bodies, and cybersecurity experts to develop best practices and standards. This book aims to provide a comprehensive understanding of AI, cybersecurity, and healthcare CPS. It explores technologies like augmented reality, blockchain, and the Internet of Things, addressing associated challenges like cybersecurity threats and ethical dilemmas.

Artificial Intelligence For Cyber Security And Industry 4 0

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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

Explainable Ai Xai For Industrial Cyber Security

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Author : Dhanaraj
language : en
Publisher: Wiley-Scrivener
Release Date : 2024-05-21

Explainable Ai Xai For Industrial Cyber Security written by Dhanaraj and has been published by Wiley-Scrivener this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-21 with Computers categories.

Explainable Ai In Healthcare Imaging For Medical Diagnoses

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Author : Tanzila Saba
language : en
Publisher: Elsevier
Release Date : 2025-03-29

Explainable Ai In Healthcare Imaging For Medical Diagnoses written by Tanzila Saba and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-29 with Computers categories.

In an era where Artificial Intelligence (AI) is revolutionizing healthcare, Explainable AI in Healthcare Imaging for Precision Medicine addresses the critical need for transparency, trust, and accountability in AI-driven medical technologies. As AI becomes an integral part of clinical decision-making, especially in imaging and precision medicine, the question of how AI reaches its conclusions grows increasingly significant. This book explores how Explainable AI (XAI) is transforming healthcare by making AI systems more interpretable, reliable, and transparent, empowering clinicians and enhancing patient outcomes.Through a comprehensive examination of the latest research, real-world case studies, and expert insights, this book delves into the application of XAI in medical imaging, disease diagnosis, treatment planning, and personalized care. It discusses the technical methodologies behind XAI, the challenges and opportunities of its integration into healthcare, and the ethical and regulatory considerations that will shape the future of AI-assisted medical decisions.Key areas of focus include the role of XAI in improving diagnostic accuracy in fields such as radiology, pathology, and genomics and its potential to enhance collaboration between AI systems, healthcare professionals, and patients. The book also highlights practical applications of XAI in personalized medicine, showing how explainable models help tailor treatments to individual patients, and discusses how XAI can contribute to reducing bias and improving fairness in medical decision-making.Written by leading experts in AI, healthcare, and precision medicine, Explain[S3G1] able AI in Healthcare Imaging for Precision Medicine is an essential resource for researchers, clinicians, students, and policymakers. Whether you are looking to stay at the forefront of AI innovations in healthcare or seeking to understand how explainability can build trust in AI systems, this book provides the insights and knowledge needed to navigate the evolving landscape of AI in medicine. It invites readers to explore how XAI can revolutionize healthcare and precision medicine, shaping a future where AI is both powerful and trustworthy. - Provides step-by-step procedures to build a digital human model - Assists in validating predicted human motion using simulations and experiments - Offers formulation optimization features for dynamic human motion prediction