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E-grāmata: Advancements in Cybersecurity: Next-Generation Systems and Applications [Taylor & Francis e-book]

Edited by , Edited by , Edited by , Edited by (Department of Electrical and Electronics Engineering, Faculty of Engineering, University of Lagos)
  • Formāts: 530 pages, 30 Tables, black and white; 22 Line drawings, color; 123 Line drawings, black and white; 2 Halftones, color; 28 Halftones, black and white; 24 Illustrations, color; 151 Illustrations, black and white
  • Izdošanas datums: 26-Jun-2025
  • Izdevniecība: CRC Press
  • ISBN-13: 9781003546153
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  • Taylor & Francis e-book
  • Cena: 173,42 €*
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  • Standarta cena: 247,75 €
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Advancements in Cybersecurity: Next-Generation Systems and ApplicationsPalielināt
  • Formāts: 530 pages, 30 Tables, black and white; 22 Line drawings, color; 123 Line drawings, black and white; 2 Halftones, color; 28 Halftones, black and white; 24 Illustrations, color; 151 Illustrations, black and white
  • Izdošanas datums: 26-Jun-2025
  • Izdevniecība: CRC Press
  • ISBN-13: 9781003546153
Citas grāmatas par šo tēmu:
Taylor & Francis e-booksMore info about Taylor & Francis e-books

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.



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.

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

Agbotiname Lucky Imoize is a Lecturer in the Department of Electrical and Electronics Engineering at the University of Lagos, Nigeria. His research interests include 6G wireless communication, wireless security systems, and artificial intelligence. He is a Fulbright research fellow, the vice chair of the IEEE Communication Society Nigeria chapter, a registered engineer with the Council for the Regulation of Engineering in Nigeria, and a senior member of IEEE.

Oleksandr Kuznetsov is a professor at the Department of Theoretical and Applied Sciences, eCampus University, Italy, and a professor in the Department of Security Information Systems and Technologies at V. N. Karazin Kharkiv National University, Ukraine. A recognized expert in computer science, his research encompasses information and cybersecurity, applied cryptography, information and coding theory, and the modeling of complex technical systems. He has co-authored several national cryptographic standards for Ukraine.

Oleksandr Lemeshko is a Professor and Head of the V.V. Popovskyy Department of Infocommunication Engineering at Kharkiv National University of Radio Electronics, Ukraine. His research interests include cyber-resilient networks, incident response, network security, fault-tolerant networks, and Software-Defined Networks. He was a local researcher on a project funded by the National Research Foundation of Ukraine. He participates in the German-Ukrainian project, DigiJED-2/3: Digital Education with Joined Efforts. He is the Chief Editor of the electronic journal Problems of Telecommunications and a senior member of IEEE.

Oleksandra Yeremenko is a Professor in the V.V. Popovskyy Department of Infocommunication Engineering at Kharkiv National University of Radio Electronics, Ukraine. Her research interests include cyber-resilience, communication network resilience, Future Networks, and Software-Defined Networks. She was the Vice Chair of the IEEE Young Professionals Ukraine Section Affinity Group and the IEEE Women in Engineering Ukraine Section Affinity Group. She is also a senior IEEE member and the Kharkiv Information & Communication Technologies ACM-W Chapter Chair.
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