Abstract:
The cloud model inherently invites concerns of privacy beyond the traditional worries. Technologies and architectures, physical boundaries, policies and legal constraints all contribute to elevating privacy concerns in the cloud. Existing privacy solutions lack the comprehensiveness required to assure privacy for data in transit and at rest in the cloud. Data privacy has to be protected not just from external entities but also from cloud constituents including cloud providers themselves. We propose in this research an Accountable cLoud Protocol Stack (ALPS) that consists of a set of inter-dependent protocol building blocks, designed in a layer-based architecture, for supporting the development of a wide variety of privacy-aware cloud services and applications. The significance of the stacked architecture of ALPS is that it allows an incremental identification of the different building blocks across the layers, a clean separation of services, ease of development of manageable blocks, and flexibility of evolution. We propose through this research to build this layered cloud computing privacy solution and to implement and test it in real cloud environments relying mostly on the variety of services available from the Amazon, Google, and Microsoft cloud infrastructures. Copyright © 2014 SCITEPRESS - Science and Technology Publications.