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Enhancing Computer Security with Smart Technology

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This book is about enhancing computer security through smart technology. This is compiled with the intention of bringing together two groups of people: those coming from a computer security background and those from an artificial intelligence and machine learning background. Toward this objective, this book is organized into two parts. The first part provides tutorial introductions to some of the challenging problems in computer security to students and researchers coming from the area of machine learning. The second part introduces some of the more important machine learning concepts to students coming from the computer security area. Space here is not adequate to cover the entire range of issues pertaining to machine learning and computer security. Emphasis is therefore placed on problems related to the detection of intrusions by using machine learning methods. Although complexity issues (sample complexity and computational complexity) play significant roles in the computational learning theory, much of the emphasis here is on practical algorithmic aspects of machine learning and its role in computer security.

This book is conceived as a collection of tutorial chapters. Each selfcontained chapter is written by a specialist in the subject field. A reader who has a basic background in computer science, such as that represented by a B.S. degree in computer science, but not necessarily some background either in security or in machine learning, should be able to read, understand, and benefit from this book. This book is not about recipes to secure your computer from attacks.
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