ALASCA: Function-Driven Advanced Access Control for Big Cold Data

Karl Wolf, Frank Pallas, Sebastian Werner

Abstract: Large datasets collected over a long time and only accessed on an infrequent basis – called Big Cold Data herein – play an important role in a broad variety of data-driven applications. In managing such data and the access to it, implementing advanced access control schemes beyond mere role-based yes/no-decisions becomes decisive, given the often sensitive or personal nature of the data as well as the multitude of regulatory requirements and other constraints applying to it. Current, mostly cloud-based technologies for storing and managing Big Cold Data, however, lack that advanced access control functionalities, such as consent-based transformations, while existing approaches for implementing such functionalities do not pay sufficient regard to the particularities of Big Cold Data to offer efficient access on an infrequent basis. We therefore propose an architecture and framework (ALASCA) following the function-as-a-service (FaaS) paradigm for implementing versatile access services