Computer networks are the spinal cord of our civilisation; because of the huge stakes involved, universities and certain companies must now teach the basics of computer system security. The purpose of this book is to help people learn about the fundamentals of this field through the study of solved exercices. The primary goal is not to create experts in this domain, but rather to teach the concepts required to understand the risks and consequences of computer system misuse. This book thus handles the basic aspects of computer security, including e-mail; viruses and antivirus programs; program and network vulnerabilities; fire walls, address translation and filtering; cryptography; secure communications; secure applications; and security management.
This work is a novel addition to the literature in that it gives, for each subject, a short summary of the main principles followed by a series of exercises (with solutions), resulting in a self-contained book that provides a solid foundation in computer security to students. Chapters in this book have been conceived to be as independent as possible. All of them, nevertheless, require a background in computer science and a familiarity with the most common network protocols.
Foreword - Forged E-Mail and Spam - Malwares - Network and Application Vulnerabilities - Firewalls and Proxies - Cryptography - Secure Communications - Security at the User Level - Management of Information Security - Acronyms - References.
Solidi cation is one of the oldest processes for producing complex shapes for applications ranging from art to industry, and it remains as one of the most important commercial processes for many materials. Since the 1980's, numerous fundamental developments in the understanding of solidi cation processes and microstructure formation have come from both analytical theories and the application of computational techniques using commonly available powerful computers.
Linear operators in Hilbert space play a fundamental role in the formulation of quantum theory. This book offers a self-contained presentation of the most important tools and methods from Hilbert space theory, with particular focus on the spectral theory of self-adjoint operators.
The book presents the state of the art in machine learning algorithms as applied to the classification and mapping of spatially distributed environmental data. The book provides a CD-ROM with the Machine Learning Office software, including sample sets of data, that will allow both students and researchers to put the concepts rapidly to practice.
This volume grew out from a one-semester research program at the Bernouilli Center (EPFL, Lausanne, Switzerland) from January to June 2007. The research articles and survey papers...
