£72.99
£72.99
This book covers the foundations and practical applications of modern chaos-based cryptographic systems. It covers chaos theory and the design, hardware, and software implementation of systems like ciphers and hash functions for students and professionals.
This book covers in an integrated way the foundations and practical applications on modern chaos-based cryptographic systems. It is aimed at a wide audience: PhD students, engineers in initial training, Master 2 students, specializing in data security and complex networks (satellites, mobile telephony, Internet, Internet of Things, etc.), computer science or in other related specialties (informatics, electronics and mathematics). It is also intended for professionals and trainers, guiding them in the design of new cryptographic systems and the construction of their training courses.
First, it provides all the necessary concepts for understanding the principle of standard and chaos-based cryptography. Then, it introduces the elements of chaos theory. Subsequently, it deals with the design, hardware (on Field Programmable Gate Array) and software implementations as well as performance analysis of practical chaos-based cryptographic systems: pseudo-random number generators of chaotic sequences (PRNGs-CS), chaos-based stream and block ciphers, chaos-based hash functions and chaos-based authenticated encryptions.
This book explores the latest research in education design for virtual and augmented reality. Using numerous studies and examples, it will help the reader gain a better understanding of the nature of these realities and their applications in theory and practice.
This book shows how artificial intelligence (AI) and machine learning (ML) are used to prevent security assaults on blockchain. It explores use cases and security methods, arguing that integrating AI and ML is crucial for increasing blockchain security.
This multidisciplinary book explores COVID-19’s impact across the sciences and humanities. It offers varied perspectives on the pandemic’s challenges and solutions, with a specific focus on Indonesia. For researchers, students, the public, and policy makers.
Satellite images often suffer from interpretability issues and lost details due to sensor limitations. This book exploits deep learning to boost minute details and improve classification, showing how super-resolution improves spatial detail for precise decision-making.
This volume presents research merging classical measurement theory with modern data science. Discover novel methods for superior measurement design, robust data evaluation, and efficient instrumentation implementations.
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This book explores how artificial intelligence (AI) interprets behavioral patterns and their influence on personality. It discusses AI’s uses, from controlling diseases to modern personality analysis, and its challenges. Perfect for data scientists, academics, and students.
Using real-world cases, this book illustrates how to handle volatile financial time series data. Learn to apply statistical, machine learning, and deep learning techniques with R and Python to build robust predictive models and construct profitable investment portfolios.
This book explores artificial intelligence through the unique lens of art, showing how we can engage with AI without being subjugated by it. Each chapter begins with a work of art to guide the reader through philosophical keywords like “author,” “memory,” and “human.”
This book is a precise and comprehensive history of the digital computer, tracing its roots and routes through the modern era. Though dealing with the history of technology in general, its central focus is the automatic digital program-controlled calculating devices of 1935-1945.
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