Authors:
Alfredo Cuzzocrea
1
;
Assaf Schuster
2
and
Gianni Vercelli
3
Affiliations:
1
University of Trieste and ICAR-CNR, Italy
;
2
Technion, Israel
;
3
University of Genoa, Italy
Keyword(s):
Privacy-Preserving OLAP over Data Streams, OLAP-based Monitoring of Data Streams, Privacy-Preserving OLAP-based Monitoring of Data Streams.
Related
Ontology
Subjects/Areas/Topics:
Data Warehouses and OLAP
;
Databases and Information Systems Integration
;
Distributed Database Systems
;
Enterprise Information Systems
Abstract:
In this paper, we propose PP-OMDS (Privacy-Preserving OLAP-based Monitoring of Data Streams), an
innovative framework for supporting the OLAP-based monitoring of data streams, which is relevant for a
plethora of application scenarios (e.g., security, emergency management, and so forth), in a privacypreserving
manner. The paper describes motivations, principles and achievements of the PP-OMDS
framework, along with technological advancements and innovations. We also incorporate a detailed
comparative analysis with competitive frameworks, along with a trade-off analysis.