- ホーム
- > 洋書
- > 英文書
- > Computer / General
Full Description
This book offers a comprehensive exploration of cutting-edge research and developments in the field of cybersecurity. It presents a curated collection of chapters that reflect the latest in empirical data approximation, malware recognition, information security technologies, and beyond.
Advancements in Cybersecurity: Next-Generation Systems and Applications offers readers a broad perspective on the multifaceted challenges and solutions in contemporary cybersecurity through topics 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. The book not only addresses technical aspects but also 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. 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.
This book is designed to serve as an essential resource for researchers, practitioners, policymakers, and engineers in the fields of ICT, next-generation computing and IT security, including cryptography, AI/ML/DL, cyber resilience, network security, threat modeling and risk assessment, digital forensics, secure software development, hardware security, and human-centric security.
Contents
Chapter 1- A Novel Hybrid Method for Randomness Extraction
Chapter 2- Blockchain technology as the new defense of information systems and networks in cyber-spheres
Chapter 3- Innovative Cost Functions for Optimizing Cryptographic S-Box Generation
Chapter 4- Enhanced Cryptographic Security through Advanced S-box Optimization: A Hybrid Heuristic Approach
Chapter 5- Enhancing Cryptographic Strength: A Novel Approach to S-Box Generation Using Modified Simulated Annealing
Chapter 6- Factorial Representation of S-boxes: A Novel Approach to Cryptographic Analysis and Optimization
Chapter 7- Optimized Simulated Annealing for Efficient Generation of Highly Nonlinear S-Boxes
Chapter 8- Analysis of Security Mechanisms of New Generation Cellular Networks
Chapter 9- Deep Learning Frontiers in Copy-Move Forgery Detection: Advances, Challenges, and Future Directions
Chapter 10- Deep Learning Model for Detecting Copy-Move Attack in Images: Testing and Verification
Chapter 11- System of Routing Solutions Based on Security-Aware Traffic Engineering Models
Chapter 12- Information Technology Security Platform for Intellectualization
Chapter 13- Robust Model and Training Method For Malware Recognition In IoT Devices
Chapter 14- Detection of network attacks based on the Red Hunt virtual machine
Chapter 15- Secure 5G Network for Monitoring State of Critical Infrastructure Facilities
Chapter 16- Cybersecurity and Resilience in the Data Centers Design in War Time
Chapter 17- Indexing the State of Military Cyber Defence and Hacktivism in Wartime in Ukraine
Chapter 18- Fast Quantification Methods for Reconfigurable Cybersecurity Systems Using Multi-Pattern Matching
Chapter 19- Research and Development of Normalized Link Blocking Models in Secure Traffic Engineering Routing for Programmable Networks
Chapter 20- AI-Driven Content Optimization and Generation with Integrated Digital Forensics for Authentic and Secure Media
Chapter 21- Visible Light Communication Enabling Next-Generation Wireless Networks
Chapter 22- Leveraging the Integrated Decision Model for the Emerging Market of Visible Light Communication
Chapter 23- Advancing Cyber Defense with Artificial Intelligence: State-of-the-Art Techniques and Future Directions
