Title
Private Databases On The Cloud: Models, Issues And Research Perspectives
Abstract
Privacy and security of big data is emerging as one among the most relevant research challenges of recent years, also stirred-up by a wide family of critical applications ranging from scientific computing to social network analysis and mining, from data stream management to smart cities, and so forth. Traditionally, the issue of making (even very-large) databases private and secure has a long history in the context of encrypted databases but, when specifically considered in the Cloud setting, it poses new requirements and challenges to deal with, with particular regard to the scalability of solutions. In line with this emerging research trend, this paper focuses the attention on state-of-the-art proposals in the area of private databases over Clouds, and proposes critical comments about pros and cons of actual research efforts along with future research directions to be considered in future years.
Year
Venue
Keywords
2016
2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)
Big Data, Privacy and Security of Big Data, Private Databases on the Cloud, Encrypted Cloud Databases
Field
DocType
Citations 
Information system,Data science,Data mining,Computer science,Cryptography,Data stream,Social network analysis,Encryption,Big data,Database,Cloud computing,Scalability
Conference
2
PageRank 
References 
Authors
0.37
31
3
Name
Order
Citations
PageRank
Alfredo Cuzzocrea11751200.90
Carlo Mastroianni264054.45
Giorgio Mario Grasso346.82