An Architecture for Trusted PaaS Cloud Computing for Personal Data

نویسندگان

  • Lorena González-Manzano
  • Gerd Brost
  • Matthias Aumüller
چکیده

Cloud computing (CC) has gained much popularity. Large amounts of data, many of them personal, are consumed by CC services. Yet, data security and, derived from that, privacy are topics that are not satisfyingly covered. Especially usage control and data leakage prevention are open problems. We propose the development of a trusted Platform as a Service CC architecture that addresses selected Data security and privacy threats (Data breaches, Insecure interfaces and APIs,Malicious insiders of service providers and Shared technology vulnerabilities). Services that consume personal data and are hosted in the proposed architecture are guaranteed to handle these data according to users' requirements. Our proof of concept shows the feasibility of implementing the presented approach.

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تاریخ انتشار 2014