Cetin Kaya Koc – författare

Cryptographic solutions using software methods can be used for those security applications where data traffic is not too large and low encryption rate is tolerable. On the other hand, hardware methods offer high-speed solutions making them highly suitable for applications where data traffic is fast and large data is required to be encrypted in real time. VLSI (also known as ASIC), and FPGAs (Field Programmable Gate Arrays) are two alternatives for implementing cryptographic algorithms in hardware. FPGAs offer several benefits for cryptographic algorithm implementations over VLSI as they offer high flexibility. Due to its reconfigurable property, keys can be changed rapidly. Moreover, basic primitives in most cryptographic algorithms can efficiently be implemented in FPGAs.

Since the invention of the Data Encryption Standard (DES), some 40 years ago, a considerable amount of cryptographic algorithm implementation literature has been produced both, for software and hardware platforms. Unfortunately, virtually there exists no book explaining how the main cryptographic algorithms can be implemented on reconfigurable hardware devices.

This book will cover the study of computational methods, computer arithmetic algorithms, and design improvement techniques needed to implement efficient cryptographic algorithms in FPGA reconfigurable hardware platforms. The concepts and techniques to be reviewed in this book will make special emphasis on the practical aspects of reconfigurable hardware design, explaining the basic mathematics related and giving a comprehensive description of state-of-the-art implementation techniques. Thus, the main goal of this monograph is to show how high-speed cryptographic algorithms implementations can be achieved on reconfigurable hardware devices without posing prohibited high requirements for hardware resources.

Cryptographic Engineering is the first book that discusses the design techniques and methods. The material of this book is scattered in journal and conference articles, and authors’ lecture notes. This is a first attempt by top cryptographic engineers to bring this material in a book form and make it available to electrical engineering and computer science students and engineers working for the industry.

This book is intended for a graduate-level course in Cryptographic Engineering to be taught in Electrical Engineering, Computer Engineering, and Computer Science departments. Students will have to have the knowledge of basic cryptographic algorithms before taking this course which will teach them how to design cryptographic hardware (FPGA, ASIC, custom) and embedded software to be used in secure systems.

Additionally, engineers working in the industry will be interested in this book to learn how to design cryptographic chips and embedded software. Engineers working on the design of cellular phones, mobile computing and sensor systems, web and enterprise security systems which rely upon cryptographic hardware and software will be interested in this book. Essential and advanced design techniques for cryptography will be covered by this book.

This book presents interesting, important unsolved problems in the mathematical and computational sciences. The contributing authors are leading researchers in their fields and they explain outstanding challenges in their domains, first by offering basic definitions, explaining the context, and summarizing related algorithms, theorems, and proofs, and then by suggesting creative solutions.

The authors feel a strong motivation to excite deep research and discussion in the mathematical and computational sciences community, and the book will be of value to postgraduate students and researchers in the areas of theoretical computer science, discrete mathematics, engineering, and cryptology.

The chapters in this book present the work of researchers, scientists, engineers, and teachers engaged with developing unified foundations, principles, and technologies for cyber-physical security. They adopt a multidisciplinary approach to solving related problems in next-generation systems, representing views from academia, government bodies, and industrial partners, and their contributions discuss current work on modeling, analyzing, and understanding cyber-physical systems.