ABACUS: A Distributed Middleware for Privacy Preserving Data Sharing Across Private Data Warehouses

Autor:	Amr El Abbadi, Fatih Emekci, Divyakant Agrawal
Rok vydání:	2005
Předmět:	Information privacy Computer science Intersection (set theory) business.industry Software development Computer security computer.software_genre Data warehouse Data sharing Information extraction Middleware Middleware (distributed applications) Scalability business computer
Zdroj:	Middleware 2005 ISBN: 9783540303237 Middleware
DOI:	10.1007/11587552_2
Popis:	Recent trends in the global economy force competitive enterprises to collaborate with each other to analyze markets in a better way and make decisions based on that. Therefore, they might want to share their data with each other to run data mining algorithms over the union of their data to get more accurate and representative results. During this process they do not want to reveal their data to each other due to the legal issues and competition. However, current systems do not consider privacy preservation in data sharing across private data sources. To satisfy this requirement, we propose a distributed middleware, ABACUS, to perform intersection, join, and aggregation queries over multiple private data warehouses in a privacy preserving manner. Our analytical evaluations show that ABACUS is efficient and scalable.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f928ab13376b2a45052e2ddea95703d2 https://doi.org/10.1007/11587552_2 Zobrazit plný text záznamu