Leveraging Artificial Intelligence Ai Competencies For Next Generation Cybersecurity Solutions
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Leveraging Artificial Intelligence Ai Competencies For Next Generation Cybersecurity Solutions
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Author : Pethuru Raj
language : en
Publisher: CRC Press
Release Date : 2024-11-22
Leveraging Artificial Intelligence Ai Competencies For Next Generation Cybersecurity Solutions written by Pethuru Raj and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-22 with Computers categories.
Modern enterprises are facing growing cybersecurity issues due to the massive volume of security-related data they generate over time. AI systems can be developed to resolve a range of these issues with comparative ease. This new book describes the various types of cybersecurity problems faced by businesses and how advanced AI algorithms and models can help eliminate them. With chapters from industry and security experts, this volume discribes the various types of cybersecurity problems faced by businesses and how advanced AI algorithms and models can help elimintate them. With chapters from industry and security experts, this volume discusses the many new and emerging AI technologies and approaches that can be harnessed to combat cyberattacks, including big data analytics techniques, deep neural networks, cloud computer networks, convolutional neural networks, IoT edge devices, machine learning approaches, deep learning, blockchain technology, convolutional neural networks, and more. Some unique features of this book include: Detailed overview of various security analytics techniques and tools Comprehensive descriptions of the emerging and evolving aspects of artificial intelligence (AI) technologies Industry case studies for practical comprehension and application This book, Leveraging the Artificial Intelligence Competencies for Next-Generation Cybersecurity Solutions, illustrates how AI is a futuristic and flexible technology that can be effectively used for tackling the growing menace of cybercriminals. It clearly demystifies the unique contributions of AI algorithms, models, frameworks, and libraries in nullifying the cyberattacks. The volume will be a valuable resource for research students, scholars, academic professors, business executives, security architects, and consultants in the IT industry.
Ai Aided Iot Technologies And Applications For Smart Business And Production
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Author : Alex Khang
language : en
Publisher: CRC Press
Release Date : 2023-12-01
Ai Aided Iot Technologies And Applications For Smart Business And Production written by Alex Khang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-01 with Computers categories.
This book covers the need for Internet of Things (IoT) technologies and artificial intelligence (AI)–aided IoT solutions for business and production. It shows how IoT-based technology uses algorithms and AI models to bring out the desired results. AI-Aided IoT Technologies and Applications for Smart Business and Production shows how a variety of IoT technologies can be used toward integrating data fabric solutions and how intelligent applications can be used to greater effect in business and production operations. The book also covers the integration of IoT data-driven financial technology (fintech) applications to fulfill the goals of trusted AI-aided IoT solutions. Next, the authors show how IoT-based technology uses algorithms and AI models to bring out the desired results across various industries including smart cities, buildings, hospitals, hotels, homes, factories, agriculture, transportation, and more. The last part focuses on AI-aided IoT techniques, data analytics, and visualization tools. This book targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, and professionals. It will be useful to engineering officers, IoT and AI engineers, engineering and industrial management students, and research scholars looking for new ideas, methodologies, technologies, models, frameworks, theories, and practices to resolve the challenging issues associated with leveraging IoT technologies, data-driven analytics, AI-aided models, IoT cybersecurity, 5G, sensors, and augmented and virtual reality techniques for developing smart systems in the era of Industrial Revolution 4.0.
Next Generation Cybersecurity
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Author : Keshav Kaushik
language : en
Publisher: Springer Nature
Release Date : 2024-05-18
Next Generation Cybersecurity written by Keshav Kaushik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-18 with Science categories.
This book highlights a comprehensive overview of the recent advancements and challenges in the field of cybersecurity with a focus on the integration of artificial intelligence (AI), machine learning (ML), and blockchain technologies. The book targets both researchers and practitioners working in the field of cybersecurity and aims to fill the gap in the current literature by providing a comprehensive and up-to-date examination of the integration of AI, ML, and blockchain in cybersecurity systems. The book has a technical focus and provides an in-depth examination of the latest developments in the field. It covers a range of topics including the basics of AI, ML, and blockchain, the application of AI and ML in cybersecurity, the use of blockchain in cybersecurity, and the integration of AI, ML, and blockchain in cybersecurity systems. Each chapter is written by leading experts in the field and provides a thorough and technical overview of the topic, including case studies, examples, and practical applications.
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.
Emerging Trends In Information System Security Using Ai Data Science For Next Generation Cyber Analytics
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Author : Faisal Rehman
language : en
Publisher: Springer Nature
Release Date : 2025-05-19
Emerging Trends In Information System Security Using Ai Data Science For Next Generation Cyber Analytics written by Faisal Rehman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-19 with Computers categories.
This book is a comprehensive exploration into the intersection of cutting-edge technologies and the critical domain of cybersecurity; this book delves deep into the evolving landscape of cyber threats and the imperative for innovative solutions. From establishing the fundamental principles of cyber security to scrutinizing the latest advancements in AI and machine learning, each chapter offers invaluable insights into bolstering defenses against contemporary threats. Readers are guided through a journey that traverses the realms of cyber analytics, threat analysis, and the safeguarding of information systems in an increasingly interconnected world. With chapters dedicated to exploring the role of AI in securing IoT devices, employing supervised and unsupervised learning techniques for threat classification, and harnessing the power of recurrent neural networks for time series analysis, this book presents a holistic view of the evolving cybersecurity landscape. Moreover, it highlights the importance of next-generation defense mechanisms, such as generative adversarial networks (GANs) and federated learning techniques, in combating sophisticated cyber threats while preserving privacy. This book is a comprehensive guide to integrating AI and data science into modern cybersecurity strategies. It covers topics like anomaly detection, behaviour analysis, and threat intelligence, and advocates for proactive risk mitigation using AI and data science. The book provides practical applications, ethical considerations, and customizable frameworks for implementing next-gen cyber defense strategies. It bridges theory with practice, offering real-world case studies, innovative methodologies, and continuous learning resources to equip readers with the knowledge and tools to mitigate cyber threats.
Ai Enabled Cybersecurity And Privacy For Next Generation Communications Management
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Author : Yassine Maleh
language : en
Publisher: Wiley-IEEE Press
Release Date : 2023-05-09
Ai Enabled Cybersecurity And Privacy For Next Generation Communications Management written by Yassine Maleh and has been published by Wiley-IEEE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-09 with Computers categories.
This book proposes a comprehensive approach to innovative computing based on artificial intelligence techniques and algorithms for designing and deploying computational mechanics precepts. This takes the form of protocols and algorithmic frameworks to improve the security, efficiency, and utility of emerging technologies. In each case, progress is highlighted, and open questions are listed. In addition, the book presents an advanced-level overview of developments in some promising information and communication technologies, including modern and future networks (including 5G and 6G), communication environments (including Internet of Things and Fog Computing) and its applications. The authors also discuss the impact of artificial intelligence on the management of emerging technologies such as big data analysis and blockchain on improvements and its various applications in cybersecurity.
Big Data Synergies With Ai And Machine Learning In Cybersecurity Unveiling Next Generation Defense Architectures For Intelligent Threat Resilience
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Author : Laxmana Murthy Karaka
language : en
Publisher: SADGURU PUBLICATIONS
Release Date :
Big Data Synergies With Ai And Machine Learning In Cybersecurity Unveiling Next Generation Defense Architectures For Intelligent Threat Resilience written by Laxmana Murthy Karaka and has been published by SADGURU PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Ai Security Solutions Protecting Your Business In The Digital Age With Advanced Technologies
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Author : Nathan Sterling
language : en
Publisher: Nathan Sterling
Release Date : 2025-05-07
Ai Security Solutions Protecting Your Business In The Digital Age With Advanced Technologies written by Nathan Sterling and has been published by Nathan Sterling this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Computers categories.
In an era defined by data breaches, ransomware attacks, insider threats, and ever-evolving cyber warfare, cybersecurity is no longer a luxury—it is a strategic imperative. "AI Security Solutions: Protecting Your Business in the Digital Age with Advanced Technologies" is a timely, essential guide for business leaders, IT professionals, and security strategists seeking to understand and implement next-generation artificial intelligence (AI) technologies to safeguard their digital ecosystems. This comprehensive book explores how AI is revolutionizing cybersecurity, enabling organizations to detect threats earlier, respond faster, and protect more efficiently than ever before. As traditional security systems struggle to keep up with the increasing complexity of cyberattacks, AI-driven tools—such as machine learning algorithms, behavioral analytics, and intelligent automation—offer adaptive, scalable, and predictive defense mechanisms that work in real time. Designed for executives, CISOs, IT managers, data scientists, and entrepreneurs, this book provides a practical roadmap for integrating AI-powered security into your technology infrastructure. It balances technical depth with business strategy, empowering decision-makers to implement advanced defenses while maintaining operational agility and regulatory compliance. Key topics explored in this book include: The foundations of AI in cybersecurity: machine learning, deep learning, natural language processing (NLP), and anomaly detection How AI is used to enhance threat intelligence, network monitoring, endpoint protection, and malware analysis Real-time detection of zero-day attacks, advanced persistent threats (APTs), phishing schemes, and fileless malware Behavioral analytics and user entity behavior analytics (UEBA) to identify insider threats and abnormal user activity AI-driven security orchestration, automation, and response (SOAR) systems for efficient incident response The role of AI in identity and access management (IAM), biometric authentication, and fraud prevention How generative AI is both a threat vector and a security tool in the age of synthetic content and deepfakes Building adaptive, self-learning systems that evolve with your threat landscape and reduce false positives Cloud and hybrid cloud security using AI-based controls and policy enforcement across distributed environments Ethical and regulatory considerations in AI security, including data privacy, model transparency, and algorithmic bias Evaluating AI cybersecurity vendors and platforms, and building internal AI capabilities for custom threat modeling Case studies from finance, healthcare, government, and enterprise sectors showing successful AI security deployments Future trends in AI security, including autonomous response, threat hunting with LLMs, deception technology, and quantum-resilient AI "AI Security Solutions: Protecting Your Business in the Digital Age with Advanced Technologies" bridges the gap between cutting-edge technology and real-world implementation. It demystifies complex AI systems and provides practical insights into deploying them to defend against increasingly sophisticated cyber threats. The book also emphasizes a layered security approach that integrates AI with traditional defenses to build a more resilient enterprise. Whether you are protecting sensitive customer data, intellectual property, financial transactions, or national infrastructure, this guide offers the tools, frameworks, and foresight necessary to develop a strong AI-enhanced security posture. This book is ideal for: Business leaders and decision-makers seeking to align cybersecurity with digital transformation IT and security professionals looking to stay ahead of emerging threats using AI Developers and data scientists building AI models for security use cases Managed security service providers (MSSPs) and consultants supporting AI adoption Students and educators in cybersecurity, data science, or AI programs In a digital age defined by constant innovation and threat acceleration, the organizations that adopt AI security solutions will be the ones that survive—and thrive. This book shows you how to be one of them.
Leveraging Futuristic Machine Learning And Next Generational Security For E Governance
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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.
Ai And Ml Driven Cybersecurity
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Author : ATDHE. BUJA
language : en
Publisher:
Release Date : 2026
Ai And Ml Driven Cybersecurity written by ATDHE. BUJA and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026 with categories.