دانلود کتاب پیشرفت‌ها در امنیت سایبری – سیستم‌ها و برنامه‌های کاربردی نسل بعدی

In the rapidly evolving cybersecurity domain, the advent of next-generation systems and applications heralds a new era of sophisticated defense mechanisms against an increasingly complex landscape of cyber threats. Advancements in Cybersecurity: Next-Generation Systems and Applications offers a comprehensive exploration of cutting-edge research and developments in the field, presenting a curated collection of chapters that reflect the latest in empirical data approximation, malware recognition, information security technologies, and beyond. This book delves into a wide array of topics, beginning with innovative approaches to empirical data approximation and extending through the latest methodologies for malware detection in IoT devices, optimization of information security in data centers, and advanced clustering techniques for multidimensional threats in heterogeneous networks. Each chapter presents a unique study, ranging from the application of blockchain technology in securing information systems to the development of new cost functions for the iterative generation of cryptographic components, offering readers a broad perspective on the multifaceted challenges and solutions in contemporary cybersecurity. The book addresses technical aspects and provides insights into the theoretical frameworks and practical applications that underpin the development of robust cybersecurity systems. It explores the optimization of algorithms for generating nonlinear substitutions, the application of machine learning models for security evaluation, and the implementation of deep learning techniques for detecting sophisticated cyber-attacks. The book Advancements in Cybersecurity is designed to serve as an essential resource for cybersecurity researchers, practitioners, and policymakers. It aims to foster an understanding of the current state of cyber defense technologies, encourage the exchange of ideas among experts, and inspire the development of innovative solutions to secure the cyber landscape of tomorrow. Through its in-depth analysis and forward-looking perspectives, this book contributes significantly to advancing cybersecurity research and practice, paving the way for a safer digital future. The book is structured into 23 chapters outlined as follows. Chapter 1 introduces a novel hybrid method for randomness extraction. Chapter 2 exploits blockchain technology as the new defense of information systems and networks in cyber-spheres. Chapter 3 highlights innovative cost functions for optimizing cryptographic s-box generation. Chapter 4 employs enhanced cryptographic security through advanced s-box optimization, leveraging a hybrid heuristic approach. Chapter 5 dwells on enhancing cryptographic strength, exploring a novel approach to s-box generation using modified simulated annealing. Chapter 6 examines a factorial representation of s-boxes, employing a novel cryptographic analysis and optimization. Chapter 7 optimizes simulated annealing for efficient generation of highly nonlinear s-boxes. Chapter 8 analyzes the security mechanisms of new-generation cellular networks. Chapter 9 discusses deep learning frontiers in copy-move forgery detection, considering advances, challenges, and future directions. Chapter 10 provides a deep learning model for detecting copy-move attacks in images, emphasizing testing and verification. Chapter 11 deploys a system of routing solutions based on securityaware traffic engineering models. Chapter 12 offers an information technology security platform for intellectualization. Chapter 13 explores a robust model and training method for malware recognition in IoT devices. Chapter 14 focuses on the detection of network attacks based on the RedHunt virtual machine. Chapter 15 provides a secure 5G network for monitoring the state of critical infrastructure facilities. Chapter 16 investigates the cybersecurity and resilience of data centers designed in wartime. Chapter 17 indexes the state of military cyber defense and hacktivism in wartime Ukraine. Chapter 18 examines fast quantification methods for reconfigurable cybersecurity systems using multi-pattern matching. Chapter 19 projects the research and development of normalized link-blocking models in secure traffic engineering routing for programmable networks. Chapter 20 presents AI-driven content optimization and generation with integrated digital forensics for authentic and secure media. Chapter 21 elucidates the deployment of visible light communication, enabling nextgeneration wireless networks. Chapter 22 leverages the integrated decision model for the emerging visible light communication market. Finally, Chapter 23 concludes the book with advancing cyber defense with artificial intelligence, emphasizing state-ofthe- art techniques and future directions. The book is an ideal reference for practitioners, researchers, scientists, and engineers in the fields of information and communication technology (ICT), nextgeneration computing, and IT security (cybersecurity, cryptography, artificial intelligence, machine learning, deep learning, cyber resilience, cyber defensive walls, network security, threat modeling, risk assessment, digital forensics, secure software development, hardware security, and human-centric security). It is also a good textbook for graduate and senior undergraduate courses in next-generation computing, security and privacy, cybersecurity, cryptography, artificial intelligence, machine learning, deep learning, cyber resilience, cyber defensive walls, network security, threat modeling, risk assessment, digital forensics, secure software development, hardware security, and human-centric security. We would like to thank the reviewers of the original book proposal for their constructive suggestions, all the authors of the chapters for their insightful contributions, and the editors and editorial assistants for their cooperation and support.