Fundamentals of Secure System Modelling - Brossura

Matulevičius, Raimundas

 
9783319871431: Fundamentals of Secure System Modelling

Sinossi

This book provides a coherent overview of the most important modelling-related security techniques available today, and demonstrates how to combine them. Further, it describes an integrated set of systematic practices that can be used to achieve increased security for software from the outset, and combines practical ways of working with practical ways of distilling, managing, and making security knowledge operational.

The book addresses three main topics: (1) security requirements engineering, including security risk management, major activities, asset identification, security risk analysis and defining security requirements; (2) secure software system modelling, including modelling of context and protected assets, security risks, and decisions regarding security risk treatment using various modelling languages; and (3) secure system development, including effective approaches, pattern-driven development, and model-driven security.

The primary target audience of this book is graduate students studying cyber security, software engineering and system security engineering. The book will also benefit practitioners interested in learning about the need to consider the decisions behind secure software systems. Overall it offers the ideal basis for educating future generations of security experts.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

?Raimundas Matulevicius is Associate Professor of Software Systems at the University of Tartu, Estonia. He has spent over 15 years teaching and conducting research in the fields of security requirements engineering, secure software design and information systems security in Norway, Belgium and Estonia. He is co-coordinator of the Cyber Security Masters curriculum delivered by Tallinn University of Technology and University of Tartu.

Dalla quarta di copertina

This book provides a coherent overview of the most important modelling-related security techniques available today, and demonstrates how to combine them. Further, it describes an integrated set of systematic practices that can be used to achieve increased security for software from the outset, and combines practical ways of working with practical ways of distilling, managing, and making security knowledge operational.

The book addresses three main topics: (1) security requirements engineering, including security risk management, major activities, asset identification, security risk analysis and defining security requirements; (2) secure software system modelling, including modelling of context and protected assets, security risks, and decisions regarding security risk treatment using various modelling languages; and (3) secure system development, including effective approaches, pattern-driven development, and model-driven security.

The primar
y target audience of this book is graduate students studying cyber security, software engineering and system security engineering. The book will also benefit practitioners interested in learning about the need to consider the decisions behind secure software systems. Overall it offers the ideal basis for educating future generations of security experts.

“Dr. Matulevicius’ book gives a coherent account of the most important modelling-related security techniques today, and is well suited for educating the next generations of security experts.” – Prof. Andreas Lothe Opdahl, University of Bergen, Norway “Dr. Matulevicius introduces a fundamental set of knowledge for the advanced management of risk and security. Going from the conceptual aspects to practical tools, this book provides a broad coverage of the field.“ – Nicolas Mayer, Ph.D., Luxembourg Institute of Science and Technology

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Altre edizioni note dello stesso titolo

9783319617169: Fundamentals of Secure System Modelling

Edizione in evidenza

ISBN 10:  3319617168 ISBN 13:  9783319617169
Casa editrice: Springer-Nature New York Inc, 2017
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