Ai And Ml Driven Cybersecurity

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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

6g Networks And Ai Driven Cybersecurity

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Author : Shaikh, Riaz Ahmed
language : en
Publisher: IGI Global
Release Date : 2025-07-23

6g Networks And Ai Driven Cybersecurity written by Shaikh, Riaz 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 2025-07-23 with Computers categories.

The most recent developments in 6G networks combined with artificial intelligence (AI) might be utilized to improve cybersecurity. While AI provides solutions to various problems in cybersecurity, it also introduces challenges in data privacy. It is important to explore the development of AI-driven security solutions to keep up-to-date and stimulate further innovation in the field of cybersecurity. Future trends and innovations should be examined as 6G networks continue to develop. 6G Networks and AI-Driven Cybersecurity provides insights into the convergence of 6G, AI, and cybersecurity. It bridges the gap between theoretical research and practical applications, promoting collaboration between academia and industry through connecting theoretical research with practical applications. Covering topics such as threat response, decision making, and machine-to-machine communication, this book is an excellent resource for cybersecurity practitioners, computer scientists, industry professionals, policymakers, professionals, researchers, academicians, and more.

Artificial Intelligence And Machine Learning In Cyber Security

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Author : Mark Hayward
language : en
Publisher: Mark Hayward
Release Date : 2025-06-06

Artificial Intelligence And Machine Learning In Cyber Security written by Mark Hayward and has been published by Mark Hayward this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Computers categories.

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence. These tasks include understanding language, recognizing patterns, solving problems, and making decisions. AI systems can process vast amounts of data quickly and adapt their responses based on new information, which makes them particularly valuable in monitoring and responding to cyber threats. Machine Learning (ML), a subset of AI, focuses specifically on algorithms that enable computers to learn from data without being explicitly programmed for every specific task. In recent years, AI and ML have gained widespread attention for their potential to dramatically enhance cybersecurity defenses

Advanced Machine Learning Ai And Cybersecurity In Web3 Theoretical Knowledge And Practical Application

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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 Driven Cybersecurity Insurance Innovations In Risk Governance And Digital Resilience

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Author : Alawida, Moatsum
language : en
Publisher: IGI Global
Release Date : 2025-07-31

Ai Driven Cybersecurity Insurance Innovations In Risk Governance And Digital Resilience written by Alawida, Moatsum and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-31 with Computers categories.

AI-driven cybersecurity insurance represents a transformation of technology, risk management, and organizational governance. As cyber threats become more sophisticated, traditional models of cybersecurity struggle when handling the scale and complexity of online threats. AI offers tools for real-time threat detection, predictive analytics, and automated response, reshaping how insurers assess risk, price policies, and support resilience. The integration of AI into cybersecurity insurance raises questions about accountability, transparency, and ethical governance. Exploring these innovations may reveal new possibilities for protecting digital assets and the need for robust frameworks to ensure responsible and equitable usage of AI technologies. AI-Driven Cybersecurity Insurance: Innovations in Risk, Governance, and Digital Resilience explores the integration of intelligent technologies and cybersecurity into financial practices. It examines the use of AI-empowered cybersecurity for risk management, business governance, and digital solutions. This book covers topics such as fraud detection, supply chains, and metaverse, and is a useful resource for business owners, computer engineers, policymakers, academicians, researchers, and data scientists.

Ai Driven Cyber Defense Enhancing Security With Machine Learning And Generative Ai

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Author : Dr Sivaraju Kuraku
language : en
Publisher: JEC PUBLICATION
Release Date :

Ai Driven Cyber Defense Enhancing Security With Machine Learning And Generative Ai written by Dr Sivaraju Kuraku 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 Fiction categories.

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Ai Driven Cybersecurity And Threat Intelligence

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Author : Iqbal H. Sarker
language : en
Publisher: Springer Nature
Release Date : 2024-04-28

Ai Driven Cybersecurity And Threat Intelligence written by Iqbal H. Sarker and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-28 with Computers categories.

This book explores the dynamics of how AI (Artificial Intelligence) technology intersects with cybersecurity challenges and threat intelligence as they evolve. Integrating AI into cybersecurity not only offers enhanced defense mechanisms, but this book introduces a paradigm shift illustrating how one conceptualize, detect and mitigate cyber threats. An in-depth exploration of AI-driven solutions is presented, including machine learning algorithms, data science modeling, generative AI modeling, threat intelligence frameworks and Explainable AI (XAI) models. As a roadmap or comprehensive guide to leveraging AI/XAI to defend digital ecosystems against evolving cyber threats, this book provides insights, modeling, real-world applications and research issues. Throughout this journey, the authors discover innovation, challenges, and opportunities. It provides a holistic perspective on the transformative role of AI in securing the digital world. Overall, the useof AI can transform the way one detects, responds and defends against threats, by enabling proactive threat detection, rapid response and adaptive defense mechanisms. AI-driven cybersecurity systems excel at analyzing vast datasets rapidly, identifying patterns that indicate malicious activities, detecting threats in real time as well as conducting predictive analytics for proactive solution. Moreover, AI enhances the ability to detect anomalies, predict potential threats, and respond swiftly, preventing risks from escalated. As cyber threats become increasingly diverse and relentless, incorporating AI/XAI into cybersecurity is not just a choice, but a necessity for improving resilience and staying ahead of ever-changing threats. This book targets advanced-level students in computer science as a secondary textbook. Researchers and industry professionals working in various areas, such as Cyber AI, Explainable and Responsible AI, Human-AI Collaboration, Automation and Intelligent Systems, Adaptive and Robust Security Systems, Cybersecurity Data Science and Data-Driven Decision Making will also find this book useful as reference book.

Zero Trust Ai The Convergence Of Machine Learning And Cybersecurity

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Author : Hariprasad Sivaraman
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2025-03-13

Zero Trust Ai The Convergence Of Machine Learning And Cybersecurity written by Hariprasad Sivaraman and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-13 with Computers categories.

In an era where cyber threats evolve with unprecedented sophistication, Zero Trust AI: The Convergence of Machine Learning and Cybersecurity provides an essential guide to fortifying digital infrastructures through AI-powered Zero Trust frameworks. This comprehensive book explores the transformative integration of Zero Trust Architecture (ZTA) and Artificial Intelligence (AI), offering a roadmap for organizations seeking to secure their digital assets beyond traditional perimeter-based defenses. Dive deep into cutting-edge AI applications in threat detection, continuous authentication, and anomaly-based risk management. Learn how machine learning enhances Zero Trust models by enabling real-time policy enforcement, behavioral analytics, and automated security response. Explore practical implementations, case studies, and future trends, including adversarial AI challenges and federated learning approaches that shape the future of cybersecurity. Whether you are a cybersecurity professional, AI researcher, or policymaker, Zero Trust AI equips you with the knowledge to harness AI for building resilient, adaptive, and intelligent security ecosystems. Stay ahead in the evolving digital landscape with expert insights and actionable strategies that redefine cybersecurity paradigms.

Challenges And Solutions For Cybersecurity And Adversarial Machine Learning

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Author : Ul Rehman, Shafiq
language : en
Publisher: IGI Global
Release Date : 2025-06-06

Challenges And Solutions For Cybersecurity And Adversarial Machine Learning written by Ul Rehman, Shafiq and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Computers categories.

Adversarial machine learning poses a threat to cybersecurity by exploiting vulnerabilities in AI models through manipulated inputs. These attacks can cause systems in healthcare, finance, and autonomous vehicles to make dangerous or misleading decisions. A major challenge lies in detecting these small issues and defending learning models and organizational data without sacrificing performance. Ongoing research and cross-sector collaboration are essential to develop robust, ethical, and secure machine learning systems. Further research may reveal better solutions to converge cyber technology, security, and machine learning tools. Challenges and Solutions for Cybersecurity and Adversarial Machine Learning explores adversarial machine learning and deep learning within cybersecurity. It examines foundational knowledge, highlights vulnerabilities and threats, and proposes cutting-edge solutions to counteract adversarial attacks on AI systems. This book covers topics such as data privacy, federated learning, and threat detection, and is a useful resource for business owners, computer engineers, security professionals, academicians, researchers, and data scientists.

Demystifying Ai And Ml For Cyber Threat Intelligence

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Author : Ming Yang
language : en
Publisher: Springer
Release Date : 2025-07-01

Demystifying Ai And Ml For Cyber Threat Intelligence written by Ming Yang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Computers categories.

This book simplifies complex AI and ML concepts, making them accessible to security analysts, IT professionals, researchers, and decision-makers. Cyber threats have become increasingly sophisticated in the ever-evolving digital landscape, making traditional security measures insufficient to combat modern attacks. Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in cybersecurity, enabling organizations to detect, prevent, and respond to threats with greater efficiency. This book is a comprehensive guide, bridging the gap between cybersecurity and AI/ML by offering clear, practical insights into their role in threat intelligence. Readers will gain a solid foundation in key AI and ML principles, including supervised and unsupervised learning, deep learning, and natural language processing (NLP) while exploring real-world applications such as intrusion detection, malware analysis, and fraud prevention. Through hands-on insights, case studies, and implementation strategies, it provides actionable knowledge for integrating AI-driven threat intelligence into security operations. Additionally, it examines emerging trends, ethical considerations, and the evolving role of AI in cybersecurity. Unlike overly technical manuals, this book balances theoretical concepts with practical applications, breaking down complex algorithms into actionable insights. Whether a seasoned professional or a beginner, readers will find this book an essential roadmap to navigating the future of cybersecurity in an AI-driven world. This book empowers its audience to stay ahead of cyber adversaries and embrace the next generation of intelligent threat detection.