Название: Cybersecurity 5.0: AI-Driven Strategies for Proactive Threat Defense
Автор: Hewa Majeed Zangana
Издательство: Wiley-IEEE Press
Год: 2026
Страниц: 556
Язык: английский
Формат: True PDF, True EPUB
Размер: 10.7 MB

Autonomous, predictive, and self-healing cybersecurity systems powered by AI.

Traditional cybersecurity approaches can no longer keep pace with zero-day exploits, ransomware, insider threats, and adversarial AI attacks. Cybersecurity 5.0: AI-Driven Strategies for Proactive Threat Defense introduces a transformative paradigm that leverages Artificial Intelligence, Machine Learning, and Big Data to build autonomous, predictive, and self-healing security systems.

The book presents a unified Cybersecurity 5.0 framework that integrates AI-driven analytics, blockchain technologies, and quantum-resistant cryptography within the context of Industry 5.0 and rapidly expanding IoT ecosystems. It demonstrates how intelligent systems can anticipate, detect, and mitigate threats across enterprise, government, and academic environments.

Cybersecurity is no longer a niche issue of the IT departments but an important pillar of the global digital infrastructure. The growing pace of digital transformation in every industry, government, and healthcare, as well as finance and education, has contributed to the unprecedented growth of the cyber threat environment. The initial defense measures included firewalls and antivirus software that offered only basic perimeter protection, and the increasing sophistication of any cyberattack has made old methods insufficient. As Alvarez‐Teleña and Díez‐Fernández claim, cybersecurity has taken a new dimension that requires adaptive, intelligent, and context‐aware systems that can defend proactively. Such a paradigm shift highlights the development of what scholars and professionals now refer to as Cybersecurity 5.0; an integrated method of predicting and preventing the emergence of contemporary digital threats through the use of Artificial Intelligence (AI), automation, big data analytics, and human expertise.

The book also covers:

Ethical, sustainable, and socially responsible approaches to deploying cybersecurity technologies within organizations and broader society
Practical strategies for constructing resilient, self-healing systems that autonomously detect and neutralize threats before damage occurs
AI and Machine Learning techniques applied to predicting zero-day exploits, ransomware campaigns, and adversarial AI-driven attacks

Cybersecurity 5.0 serves practitioners, researchers, IT managers, and graduate students who need to move beyond conventional defense measures. By connecting AI, blockchain, IoT security, and quantum-resistant strategies within a unified Cybersecurity 5.0 paradigm, this book equips readers to architect proactive, adaptive cyber defense systems.

Contents:

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