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Book
Guide to Security Assurance for Cloud Computing
Authors: --- ---
ISBN: 3319259865 3319259881 Year: 2015 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

This practical and didactic text/reference discusses the leading edge of secure cloud computing, exploring the essential concepts and principles, tools, techniques and deployment models in this field. Enlightening perspectives are presented by an international collection of pre-eminent authorities in cloud security assurance from both academia and industry. Topics and features: · Describes the important general concepts and principles of security assurance in cloud-based environments · Presents applications and approaches to cloud security that illustrate the current state of the art · Reviews pertinent issues in relation to challenges that prevent organizations moving to cloud architectures · Provides relevant theoretical frameworks and the latest empirical research findings ·


Digital
Guide to Security Assurance for Cloud Computing
Authors: --- ---
ISBN: 9783319259888 9783319259864 9783319259871 9783319798721 Year: 2015 Publisher: Cham Springer International Publishing

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This practical and didactic text/reference discusses the leading edge of secure cloud computing, exploring the essential concepts and principles, tools, techniques and deployment models in this field. Enlightening perspectives are presented by an international collection of pre-eminent authorities in cloud security assurance from both academia and industry. Topics and features: · Describes the important general concepts and principles of security assurance in cloud-based environments · Presents applications and approaches to cloud security that illustrate the current state of the art · Reviews pertinent issues in relation to challenges that prevent organizations moving to cloud architectures · Provides relevant theoretical frameworks and the latest empirical research findings ·


Book
Guide to Security in SDN and NFV : Challenges, Opportunities, and Applications
Authors: --- --- ---
ISBN: 3319646532 3319646524 Year: 2017 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This book highlights the importance of security in the design, development and deployment of systems based on Software-Defined Networking (SDN) and Network Functions Virtualization (NFV), together referred to as SDNFV. Presenting a comprehensive guide to the application of security mechanisms in the context of SDNFV, the content spans fundamental theory, practical solutions, and potential applications in future networks. Topics and features: Introduces the key security challenges of SDN, NFV and Cloud Computing, providing a detailed tutorial on NFV security Discusses the issue of trust in SDN/NFV environments, covering roots of trust services, and proposing a technique to evaluate trust by exploiting remote attestation Reviews a range of specific SDNFV security solutions, including a DDoS detection and remediation framework, and a security policy transition framework for SDN Describes the implementation of a virtual home gateway, and a project that combines dynamic security monitoring with big-data analytics to detect network-wide threats Examines the security implications of SDNFV in evolving and future networks, from network-based threats to Industry 4.0 machines, to the security requirements for 5G Investigates security in the Observe, Orient, Decide and Act (OODA) paradigm, and proposes a monitoring solution for a Named Data Networking (NDN) architecture Includes review questions in each chapter, to test the reader’s understanding of each of the key concepts described This informative and practical volume is an essential resource for researchers interested in the potential of SDNFV systems to address a broad range of network security challenges. The work will also be of great benefit to practitioners wishing to design secure next-generation communication networks, or to develop new security-related mechanisms for SDNFV systems. Dr. Shao Ying Zhu is a Senior Lecturer in Computing at the University of Derby, UK. Dr. Sandra Scott-Hayward is a Lecturer (Assistant Professor) at Queen’s University Belfast, Northern Ireland. Dr. Ludovic Jacquin is a Senior Researcher at Hewlett Packard Labs - the research organisation of Hewlett Packard Enterprise - in Bristol, UK. Prof. Richard Hill is the Head of the Department of Informatics and the Director of the Centre for Industrial Analytics at the University of Huddersfield, UK. The other publications of the editors include the Springer titles Guide to Security Assurance for Cloud Computing and Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications.


Digital
Guide to Security in SDN and NFV : Challenges, Opportunities, and Applications
Authors: --- --- ---
ISBN: 9783319646534 Year: 2017 Publisher: Cham Springer International Publishing

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Abstract

This book highlights the importance of security in the design, development and deployment of systems based on Software-Defined Networking (SDN) and Network Functions Virtualization (NFV), together referred to as SDNFV. Presenting a comprehensive guide to the application of security mechanisms in the context of SDNFV, the content spans fundamental theory, practical solutions, and potential applications in future networks. Topics and features: Introduces the key security challenges of SDN, NFV and Cloud Computing, providing a detailed tutorial on NFV security Discusses the issue of trust in SDN/NFV environments, covering roots of trust services, and proposing a technique to evaluate trust by exploiting remote attestation Reviews a range of specific SDNFV security solutions, including a DDoS detection and remediation framework, and a security policy transition framework for SDN Describes the implementation of a virtual home gateway, and a project that combines dynamic security monitoring with big-data analytics to detect network-wide threats Examines the security implications of SDNFV in evolving and future networks, from network-based threats to Industry 4.0 machines, to the security requirements for 5G Investigates security in the Observe, Orient, Decide and Act (OODA) paradigm, and proposes a monitoring solution for a Named Data Networking (NDN) architecture Includes review questions in each chapter, to test the reader’s understanding of each of the key concepts described This informative and practical volume is an essential resource for researchers interested in the potential of SDNFV systems to address a broad range of network security challenges. The work will also be of great benefit to practitioners wishing to design secure next-generation communication networks, or to develop new security-related mechanisms for SDNFV systems. Dr. Shao Ying Zhu is a Senior Lecturer in Computing at the University of Derby, UK. Dr. Sandra Scott-Hayward is a Lecturer (Assistant Professor) at Queen’s University Belfast, Northern Ireland. Dr. Ludovic Jacquin is a Senior Researcher at Hewlett Packard Labs - the research organisation of Hewlett Packard Enterprise - in Bristol, UK. Prof. Richard Hill is the Head of the Department of Informatics and the Director of the Centre for Industrial Analytics at the University of Huddersfield, UK. The other publications of the editors include the Springer titles Guide to Security Assurance for Cloud Computing and Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications.


Book
Big-Data Analytics and Cloud Computing : Theory, Algorithms and Applications
Authors: --- --- --- ---
ISBN: 3319253115 3319253131 Year: 2015 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This important and timely text/reference reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: Describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures Examines the applications and implementations that utilize big data in cloud architectures Surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions Identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches Provides relevant theoretical frameworks, empirical research findings, and numerous case studies Discusses real-world applications of algorithms and techniques to address the challenges of big datasets This authoritative volume will be of great interest to researchers, enterprise architects, business analysts, IT infrastructure managers and application developers, who will benefit from the valuable insights offered into the adoption of architectures for big data and cloud computing. The work is also suitable as a textbook for university instructors, with the outline for a possible course structure suggested in the preface. The editors are all members of the Computing and Mathematics Department at the University of Derby, UK, where Dr. Marcello Trovati serves as a Senior Lecturer in Mathematics, Dr. Richard Hillas a Professor and Head of the Computing and Mathematics Department, Dr. Ashiq Anjum as a Professor of Distributed Computing, Dr. Shao Ying Zhu as a Senior Lecturer in Computing, and Dr. Lu Liu as a Professor of Distributed Computing. The other publications of the editors include the Springer titles Guide to Security Assurance for Cloud Computing, Guide to Cloud Computing and Cloud Computing for Enterprise Architectures.


Digital
Big-Data Analytics and Cloud Computing : Theory, Algorithms and Applications
Authors: --- --- --- ---
ISBN: 9783319253138 9783319253114 9783319253121 9783319797670 Year: 2015 Publisher: Cham Springer International Publishing

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Abstract

This important and timely text/reference reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: Describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures Examines the applications and implementations that utilize big data in cloud architectures Surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions Identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches Provides relevant theoretical frameworks, empirical research findings, and numerous case studies Discusses real-world applications of algorithms and techniques to address the challenges of big datasets This authoritative volume will be of great interest to researchers, enterprise architects, business analysts, IT infrastructure managers and application developers, who will benefit from the valuable insights offered into the adoption of architectures for big data and cloud computing. The work is also suitable as a textbook for university instructors, with the outline for a possible course structure suggested in the preface. The editors are all members of the Computing and Mathematics Department at the University of Derby, UK, where Dr. Marcello Trovati serves as a Senior Lecturer in Mathematics, Dr. Richard Hillas a Professor and Head of the Computing and Mathematics Department, Dr. Ashiq Anjum as a Professor of Distributed Computing, Dr. Shao Ying Zhu as a Senior Lecturer in Computing, and Dr. Lu Liu as a Professor of Distributed Computing. The other publications of the editors include the Springer titles Guide to Security Assurance for Cloud Computing, Guide to Cloud Computing and Cloud Computing for Enterprise Architectures.

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