Trusted Cloud Computing by Springer

by Helmut Krcmar

Part I Security and Privacy.- 1 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 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 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 Sociological Contextualization of an Innovative Cloud Platform.- 19 Cutting Through the Jungle of Cloud Computing Development of an Evaluation Model.

Hardcover

First published December 14, 2014