Название: Cybersecurity: Cyber Defense, Privacy and Cyber Warfare
Автор: George Dimitoglou, Leonidas Deligiannidis, Hamid R. Arabnia
Издательство: De Gruyter
Год: 2026
Страниц: 430
Язык: английский
Формат: pdf (true)
Размер: 48.5 MB

The depth of our dependence on technology in our interconnected world underscores the critical role of cyber security. This book provides essential insights into the latest research and best practices and techniques for protecting against cyber threats, emphasizing the critical relevance of cyber security in safeguarding personal information, businesses, and national security.

As technology advances and digital connectivity grows, cybersecurity becomes in­creasingly critical in protecting industries, academia, government operations, and military strategies. These rapid advancements have brought unprecedented benefits, yet they have also introduced complex security challenges, including cyber threats, data breaches, and sophisticated cyber warfare tactics. Organizations across various sectors must adopt proactive and adaptive defense mechanisms to safeguard critical infrastructure, secure sensitive information, and protect against evolving cyber ad­versaries. As cyber threats become more advanced, interdisciplinary research efforts are essential to address the multifaceted nature of cybersecurity. This edited volume combines cutting-edge research and innovative approaches to address pressing cybersecurity challenges, ensuring a robust and resilient digital ecosystem.

The book is structured into four key thematic areas, each highlighting critical cy­bersecurity research topics and exploring contemporary threats, emerging technolo­gies, and strategic defenses necessary to build a secure digital future.

The first thematic area focuses on cybersecurity threat detection and defense strategies, with researchers exploring proactive and strategic approaches to mitigat­ing cyber risks. The contributions introduce innovative methods such as game-based strategies, adversarial deception, and automated defense mechanisms. Various stud­ies examine novel techniques for detecting and mitigating malware threats, enhanc­ing cybersecurity in industrial networks, and improving security measures in supervi­sory control and data acquisition (SCADA) systems. Additionally, contributed chapters address concerns surrounding adversarial infiltration of software development envi­ronments and unconventional cyber warfare tactics. These works underscore the im­portance of robust detection frameworks and adaptive defense mechanisms in safe­ guarding digital infrastructure.

The next thematic area focuses on how integrating Artificial Intelligence (AI) and Machine Learning (ML) in cybersecurity transforms the landscape of digital security, providing new tools for cyber threat detection, data protection, and system security. Researchers examine AI-driven methodologies to minimize vulnerabilities, enhance the reliability of predictive models, and reduce risks associated with overfit­ting in Deep Learning applications. This area also covers advancements in quantum-enhanced cybersecurity and the growing necessity for auditable, transparent AI sys­tems to ensure ethical and accountable cybersecurity practices. The studies included in this area emphasize the transformative potential of AI and ML in building intelli­gent, adaptive security frameworks.

Another critical thematic area is security and privacy in IoT and industrial systems. Chapters in this area address the pressing challenges of securing intercon­nected environments. Ensuring their security is paramount, given the increasing reli­ance on IoT devices in critical sectors such as healthcare and industrial systems.

Lastly, the area of digital forensics, social media security, and user protec­tion covers essential parts of modern cybersecurity, tackling challenges related to on­line platforms and digital investigations.