| Title | Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Cuzzocrea, A., Maio, V. De, Fadda, E. |
| Conference Name | 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) |
| Keywords | authoritative analytical tool, Big Data, big data framework, big data privacy, Bioinformatics, Data analysis, data mining, data privacy, Distributed databases, Distributed Privacy-Preserving OLAP, distributed privacy-preserving OLAP framework, Emerging Big Data Applications, Experiments and Analysis over Big Datasets, Human Behavior, Measurement, Metrics, OLAP aggregate privacy, OLAP analysis, OLAP data cubes, OLAP-based Big Data Analytics, privacy, privacy preservation, privacy-preserving OLAP-based big data analytics, pubcrawl, resilience, Resiliency, Scalability, security of data, smart cities, Social network services, social networks, Tools |
| Abstract | OLAP is an authoritative analytical tool in the emerging big data analytics context, with particular regards to the target distributed environments (e.g., Clouds). Here, privacy-preserving OLAP-based big data analytics is a critical topic, with several amenities in the context of innovative big data application scenarios like smart cities, social networks, bio-informatics, and so forth. The goal is that of providing privacy preservation during OLAP analysis tasks, with particular emphasis on the privacy of OLAP aggregates. Following this line of research, in this paper we provide a deep contribution on experimenting and assessing a state-of-the-art distributed privacy-preserving OLAP framework, named as SPPOLAP, whose main benefit is that of introducing a completely-novel privacy notion for OLAP data cubes. |
| DOI | 10.1109/COMPSAC48688.2020.00-69 |
| Citation Key | cuzzocrea_experimenting_2020 |
Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences