Title | Privacy-Aware Big Data Warehouse Architecture |
Publication Type | Conference Paper |
Year of Publication | 2016 |
Authors | Navuluri, Karthik, Mukkamala, Ravi, Ahmad, Aftab |
Conference Name | 2016 IEEE International Congress on Big Data (BigData Congress) |
Date Published | jun |
Keywords | Architecture, Big Data, big data privacy, Computer architecture, data privacy, Data Warehouse, Human Behavior, human factors, metadata, Metrics, privacy, Privacy Enforcement, pubcrawl, Resiliency, Scalability, security, Servers |
Abstract | Along with the ever increasing growth in data collection and its mining, there is an increasing fear of compromising individual and population privacy. Several techniques have been proposed in literature to preserve privacy of collected data while storing and processing. In this paper, we propose a privacy-aware architecture for storing and processing data in a Big Data warehouse. In particular, we propose a flexible, extendable, and adaptable architecture that enforces user specified privacy requirements in the form of Embedded Privacy Agreements. The paper discusses the details of the architecture with some implementation details. |
DOI | 10.1109/BigDataCongress.2016.53 |
Citation Key | navuluri_privacy-aware_2016 |