Paper Info
Title
Enforcement of Autonomous Authorizations in Collaborative Distributed Query Evaluation
Abstract
In a federated database system, each independent party exports some of its data for information sharing. The information sharing in such a system is very inflexible, as all peer parties access the same set of data exported by a party, while the party may want to authorize different peer parties to access different portions of its information. We propose a novel query evaluation scheme that supports differentiated access control with decentralized query processing. Anew efficient join method, named split-join, along with other safe join methods is adopted in the query planning algorithm. The generated query execution reduces the communication cost by pushing partial query computation to data sources in a safe way. The proofs of the correctness and safety of the algorithm are presented. The evaluation demonstrates that the scheme significantly saves the communication cost in a variety of circumstances and settings while enforcing autonomous and differentiated information sharing effectively.
Year
DOI
Venue
2015
10.1109/TKDE.2014.2357018
IEEE Trans. Knowl. Data Eng.
Keywords
Field
DocType
query processing,differentiated access control,security and authorization,autonomous authorization,split-join method,query planning algorithm,data exports,authorisation,federated database system,collaborative distributed query evaluation,decentralized query processing,distributed databases,information sharing,safe join method,partial query computation,authorization,servers,planning
Query optimization,Data mining,Web search query,RDF query language,Query language,Query expansion,Computer science,Sargable,Web query classification,View,Database
Journal
Volume
Issue
ISSN
27
4
1041-4347
Citations 
PageRank 
References 
4
0.40
14
Authors
6
Name
Order
Citations
PageRank
Qiang Zeng1327.22
Mingyi Zhao2624.93
Peng Liu31701171.49
Poonam Yadav440.40
Seraphin B. Calo517722.69
Jorge Lobo6111265.53