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Название: Cloud Computing Security: Strategies and Best Practices
Автор: Neha Agrawal, Rohit Kumar, Shashikala Tapaswi
Издательство: CRC Press
Год: 2026
Страниц: 467
Язык: английский
Формат: pdf (true), epub
Размер: 39.5 MB

The book provides a fundamental exploration of cloud security, addressing the growing risks associated with modern cloud environments. It combines foundational theory with hands-on applications, equipping readers with the knowledge and tools needed to secure cloud platforms. Topics include cloud attack vectors, defence mechanisms, implementation challenges, and real-world case studies of major cloud service providers. Practical exercises and end-of-chapter questions reinforce key concepts, making this an essential resource. Designed for undergraduate and postgraduate students in Computer Science and cybersecurity, this book serves as a vital guide to securing cloud infrastructures and ensuring data integrity in a rapidly evolving technological landscape. Throughout the textbook, practical examples, case studies, and hands-on exercises are included to reinforce the concepts and enable readers to apply the knowledge gained. The scope of the textbook aims to be accessible to both beginners and experienced professionals interested in enhancing their expertise in cloud computing security.

Название: CompTIA Cloud+ Certification Guide (Exam CV0-004): A comprehensive guide for Cloud+ CV0-004 certification, 2nd Edition
Автор: Gopi Krishna Nuti
Издательство: BPB Publications
Год: 2026
Страниц: 393
Язык: английский
Формат: epub (true)
Размер: 27.8 MB

CompTIA Cloud+ CV0-004 certification is highly regarded as a performance-based IT certification that recognizes the significance of cloud-based infrastructure services. This essential book equips readers with the essential knowledge and skills to excel in the rapidly evolving field of cloud computing. The book comprehensively addresses all key domains and objectives of the Cloud+ CV0-004 exam using clear and concise explanations, detailed examples, and hands-on exercises. Readers will gain a profound comprehension of cloud architecture, deployment models, security considerations, migration strategies, troubleshooting techniques, disaster recovery, DevOps, and much more. Moreover, the book goes beyond exam preparation by providing real-world scenarios and industry best practices, allowing readers to apply their knowledge effectively in their job roles. This new edition includes contemporary cloud concepts in security, automation, and emerging technologies like AI and IoT, while also placing greater emphasis on DevOps fundamentals, automation approaches, and more.

Название: Learning Cybersecurity Fundamentals: A Practical Guide to Essential Cybersecurity Concepts (Early Release)
Автор: Nicole Dove
Издательство: O’Reilly Media, Inc.
Год: 2025-09-17
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Cybersecurity is now a business-critical function at the core of every organization. Learning Cybersecurity Fundamentals introduces readers to this vital field through the lens of the NIST 2.0 Cybersecurity Framework. Written by Nicole Dove, CIA, CRMA, this guide demystifies cybersecurity team structures and explains the core principles that harden, govern, and protect the systems we rely on. Whether you're a student, an early-career professional, or considering a career change, this book helps you align your skills with in-demand roles. With clear explanations, relatable examples, and chapter-end quizzes, this book goes beyond theory to prepare aspiring professionals for real-world impact. You'll build foundational skills in threat detection, data protection, access management, and more—all while developing a strong understanding of cybersecurity's strategic importance and what that means for your career potential.

Название: AI-Driven Cybersecurity: Revolutionizing Threat Detection and Defence Systems
Автор: Hooman Razavi, Mariya Ouaissa, Mariyam Ouaissa, Haïfa Nakouri, Ahmed Abdelgawad
Издательство: CRC Press
Год: 2026
Страниц: 301
Язык: английский
Формат: pdf (true), epub
Размер: 10.3 MB

This book delves into the revolutionary ways in which AI-driven innovations are enhancing every aspect of cybersecurity, from threat detection and response automation to risk management and endpoint protection. As AI continues to evolve, the synergy between cybersecurity and artificial intelligence promises to reshape the landscape of digital defence, providing the tools needed to tackle complex, ever-evolving cyber threats. Designed for professionals, researchers, and decision-makers, this book emphasizes that understanding and leveraging AI in cybersecurity is not just advantageous—it is essential for building robust, future-proof defences in a world where digital security is paramount. The introduction of AI into cybersecurity marks a pivotal shift in the research and industry, allowing for faster, more adaptive, and more efficient threat management than ever before. AI-driven cybersecurity is not merely a technology upgrade; it represents a fundamental transformation in how digital ecosystems are safeguarded. By leveraging AI, cybersecurity teams can address the speed, scale, and sophistication required to combat today’s threats, providing organizations with the ability to stay ahead of attackers.

Название: Графовые нейронные сети на Python
Автор: Лабонн М., Груздев А.В.
Издательство: дмк
Год: 2024
Формат: PDF
Страниц: 344
Размер: 25 Mb
Язык: Русский

Создавайте креативные и мощные приложения с использованием графовых данных и станьте экспертом в графовых нейронных сетях! Всего через десять лет после своего появления графовые нейронные сети стали одной из самых интересных архитектур в глубоком обучении. Технологические компании пытаются применить их повсюду: в сфере разработки лекарств, в системах рекомендаций еды, видео и поиска романтических партнеров, для выявления фейковых новостей. В этой книге представлены основы теории графов для data science и машинного обучения, а также практические задачи, которые решаются с помощью графовых нейронных сетей.

Название: Securing the Digital Frontier: Advanced Frameworks for Social Media and IoT Threats
Автор: Akashdeep Bhardwaj
Издательство: BPB Publications
Год: 2026
Страниц: 400
Язык: английский
Формат: epub (true)
Размер: 14.8 MB

The explosive growth of interconnected devices and digital platforms has led to cybersecurity becoming a cornerstone of modern technological infrastructure. In an era of AI-driven misinformation and smart IoT vulnerabilities, innovative defense mechanisms are more critical than ever. This book offers a structured and insightful journey through the evolving landscape of cybersecurity, focusing on the pressing challenges posed by social media and IoT ecosystems. Readers explore ML frameworks designed to detect fake news and distorted social media campaigns, followed by methods to identify fake Instagram profiles and prevent impersonation. The discussion advances into technical territory with a threat surface analysis of smart IoT cameras, offering metrics to address their unique vulnerabilities. This book is designed for advanced cybersecurity professionals, IoT developers, academic researchers, graduate students, and policymakers. It is ideal for those looking to deepen their understanding of emerging cyber threats and learn practical, research-backed methods to secure digital and IoT ecosystems.

Название: Pythonic AI. Руководство по созданию приложений ИИ на Python
Автор: Ариндам Банерджи
Издательство: Э
Год: 2025
Формат: PDF
Страниц: 530
Размер: 13 Mb
Язык: Русский

Идеально подходит тем, кто хочет освоить ключевые инструменты и методологии, включая CNN для компьютерного зрения и NLP-модели с TensorFlow 2. Предлагаются полезные проекты и продвинутые концепции, такие как механизмы внимания, трансформеры и GAN. Автор делится опытом создания сложных моделей и разработки современных приложений ИИ, делая акцент на практическое освоение технологий.

Название: Искусственный интеллект для периферийных устройств: осваиваем встраиваемые системы для машинного обучения
Автор: Планкетт Дженни, Ситунаяке Дэниел
Издательство: бхв
Год: 2025
Формат: PDF
Страниц: 514
Размер: 70 Mb
Язык: Русский

В книге исследованы возможности использования искусственного интеллекта при работе с периферийными устройствами, датчиками и Интернетом вещей. Рассмотрены алгоритмы, применяемые при реализации периферийного ИИ, паттерны проектирования программных и аппаратных компонентов Интернета вещей, рассчитанных на последующее машинное обучение. Продемонстрировано, как подбирать и фильтровать данные, развертывать, развивать и поддерживать сети умных устройств.

Название: Practical Purple Teaming: The Art of Collaborative Defense
Автор: Alfie Champion
Издательство: No Starch Press
Год: 2026
Страниц: 352
Язык: английский
Формат: epub
Размер: 23.1 MB

Real-world threats demand real-world teamwork. If you’re tired of red team reports gathering dust—or defensive teams being left in the dark—this book is for you. Practical Purple Teaming gives you a hands-on blueprint for running collaborative security exercises that improve detection, build trust, and expose real gaps before attackers do. You’ll learn how to emulate adversaries using tools like Atomic Red Team, MITRE Caldera, and Mythic, and you’ll guide defenders toward actionable insights using real logs, alerts, and frameworks like MITRE ATT&CK, the Cyber Kill Chain, and the Pyramid of Pain. Yet as the field of cybersecurity has matured, new testing methodologies increasingly blur the line between attack and defense. Many offensive engagements now strike a balance between executing realistic attacks (the red focus) and aiding defenders, potentially to the detriment of attack realism (the blue focus). We term such blended exercises purple teaming. There is no one-size-fits-all approach to purple teaming. In this book, you’ll learn how to pick the right tool for the job. Whether you’re red, blue, or somewhere in between, this book will help you test smarter, detect faster, and collaborate better. If you’ve ever finished a red team engagement and wondered what actually changed, this is your playbook.

Название: Zero-Trust Learning: Applications in Modern Network Security
Автор: Chetna Kaushal, Amandeep Kaur, Mohit Angurala, Aryan Chaudhary
Издательство: Apple Academic Press/CRC Press
Год: 2026
Страниц: 491
Язык: английский
Формат: pdf (true), epub
Размер: 29.9 MB

In this internet age of security challenges and threats from cybercrime, enhanced security measures are necessary. The zero trust model—the IT security model that requires strict identity verification for every person and device trying to access resources on a private network—helps to meet these everincreasing and evolving security challenges. This new volume offers a comprehensive overview of the zero trust security model and its application in the field of cybersecurity, covering the principles, technologies, and best practices for implementing a zero trust approach, equipping readers with the knowledge and tools to secure their digital environments effectively. This book stands out by providing a holistic view of the zero trust security model, combining practical guidance for professionals with educational insights for both professionals and students and offering real-world examples and case studies that bridge the gap between learning and implementation. Zero-trust security offers transformative advantages, revolutionizing our approach to threat protection, vulnerability reduction, and challenge response.