Trusted cloud computing / edited by Helmut Krcmar, Ralf Reussner, Bernhard Rumpe.

Springer eBooks

Part I Security and Privacy -- 1 GeneCloud: Secure Cloud Computing for Biomedical Research -- 2 Sealed Cloud – A Novel Approach to Safeguard against Insider Attacks -- 3 Side Channels in Secure Database Outsourcing on the Example of the MimoSecco Scheme -- 4 ReDS: A System for Revision-Secure Data Storage -- 5 Automatic Data Protection Certificates for Cloud-Services based on Secure Logging -- 6 A Trust Point-based Security Architecture for Sensor Data in the Cloud -- Part II Software Engineering and Software Quality -- 7 Quality Analysis Approaches for Cloud Services – Towards a Framework along the Customer’s Activity Cycle -- 8 A Model-based Software Development Kit for the SensorCloud Platform -- 9 TRESOR – Towards the Realization of a Trusted Cloud Ecosystem -- 10 Towards Reliability Estimation of Large Systems-of-Systems with the Palladio Component Model -- Part III Platforms, Middleware and Integration -- 11 Data Protection in the Cloud – The MimoSecco Approach -- 12 Secure Database Outsourcing to the Cloud Using the MimoSecco Middleware -- 13 SensorCloud: Towards the Interdisciplinary Development of a Trustworthy Platform for Globally Interconnected Sensors and Actuators -- 14 Testbed for the Sensor Cloud -- 15 An Architecture for Trusted PaaS Cloud Computing for Personal Data -- 16 Privacy-Preserving Cloud Computing for Biomedical Research -- Part IV Social Aspects, Business Models and Standards -- 17 Designing a Business Model for a Cloud Marketplace for Healthcare -- 18 SensorCloud: Sociological Contextualization of an Innovative Cloud Platform -- 19 Cutting Through the Jungle of Cloud Computing Whitepapers: Development of an Evaluation Model.

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