Nadia Nedjah

Luiza de Macedo Mourelle

Heitor Silvério Lopes

Evolutionary multi-objective optimization (EMO) has emerged as a sub-discipline of multi-objective optimization, combining the fields of evolutionary computation and classical multiple criteria decision making. This field has applications in artificial intelligence, machine learning, and data mining. This book will present new trends, methods, algorithms, and applications in EMO for system design, featuring contributions from leading experts.

Theory and Applications

Evolutionary Multi-objective System Design

Modern cryptology, which is the basis of information security techniques, started in the late 70's and developed in the 80's. As communication networks were spreading deep into society, the need for secure communication greatly promoted cryptographic research. The need for fast but secure cryptographic systems is growing bigger. Therefore, dedicated systems for cryptography are becoming a key issue for designers. With the spread of reconfigurable hardware such as FPGAs, hardware implementations of cryptographic algorithms become cost-effective. The focus of this book is on all aspects of embedded cryptographic hardware. Of special interest are contributions that describe new secure and fast hardware implementations and new efficient algorithms, methodologies and protocols for secure communications. This book is organised in two parts. The first part is dedicated to embedded hardware of cryptosystems while the second part focuses on new algorithms for cryptography, design methodologies and secure protocols.

Methodologies and Architectures

Embedded Cryptographic Hardware

Data security is an important requirement for almost all, if not all, information-oriented applications such as e-commerce, digital signature, secure Internet, etc. All these services use encrypted data. Cryptography is a milliner science that was the key to the secret of ancient Rome and a fundamental piece in the Second World War. Today, it is a star in the computation world. Several operating systems, data base systems or simple filling systems provide the user with cryptographic functions that allow controlled data scrambling. Modern cryptology, which is the basis of information security techniques, started in the late 1970's and developed in the 1980's. As communication networks were spreading deep into society, the need for secure communication greatly promoted cryptographic research. The need for fast but secure cryptographic systems is growing bigger. Therefore, dedicated hardware for cryptography is becoming a key issue for designers. With the spread of reconfigurable hardware such as FPGAs, hardware implementations of cryptographic algorithms became cost-effective. The focus of this book is on all aspects of cryptographic hardware and embedded systems. This includes design, implementation and security of such systems. The content of this book is divided into four main parts, each of which is organised in three chapters, with the exception of the last one.

Design & Security

Janusz Kacprzyk

Data mining consists of attempting to discover novel and useful knowledge from data, trying to find patterns among datasets that can help in intelligent decision making. However, reports of real-world case studies are not generally detailed in the literature, due to the fact that they are usually based on proprietary datasets, making it impossible to publish the results. This kind of situation makes hard to evaluate, in a precise way, the degree of effectiveness of data mining techniques in real-world applications. On the other hand, researchers of this field of expertise usually exploit public-domain datasets. This volume offers a wide spectrum of research work developed for data mining for real-world application. In the following, we give a brief introduction of the chapters that are included in this book.

Luiza de Macedo Mourelle

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