Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kerim Yasin Oktay"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030048334
From Database to Cyber Security
From Database to Cyber Security
Several researchers have proposed solutions for secure data outsourcing on the public clouds based on encryption, secret-sharing, and trusted hardware. Existing approaches, however, exhibit many limitations including high computational complexity, im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d85bbd614bc55906f700fbad1e0d01c7
https://doi.org/10.1007/978-3-030-04834-1_15
https://doi.org/10.1007/978-3-030-04834-1_15
Publikováno v:
ICDE
This paper explores secure data processing in hybrid clouds wherein local computing capability is exploited alongside public cloud services to deliver an efficient and secure data management solution. Hybrid clouds offer numerous advantages including
Publikováno v:
SIGMOD Conference
This paper describes SEMROD, a sensitive data aware MapReduce (MR) framework for hybrid clouds. SEMROD steers data and computation through public and private machines in such a way that no knowledge about sensitive data is leaked to public machines.
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems
Cataloged from PDF version of article. Data declustering and replication can be used to reduce I/O times related with processing of data intensive queries. Declustering parallelizes the query retrieval process by distributing the data items requested
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab51bd8784c63483a4a8a030f546d249
https://hdl.handle.net/11693/21016
https://hdl.handle.net/11693/21016
Publikováno v:
Information Systems Security ISBN: 9783642452031
ICISS
ICISS
This paper explores the issue of "loss of control" that results when users outsource data and computation to the clouds. While loss of control has multiple manifestations, we focus on the data privacy and confidentiality implications when cloud provi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae980b52f09d9b9790a3106105c26874
https://doi.org/10.1007/978-3-642-45204-8_3
https://doi.org/10.1007/978-3-642-45204-8_3
Autor:
Kerim Yasin Oktay, Bijit Hore, Bhavani Thuraisingham, Murat Kantarcioglu, Sharad Mehrotra, Vaibhav Khadilkar
Publikováno v:
IEEE CLOUD
This paper explores an efficient and secure mechanism to partition computations across public and private machines in a hybrid cloud setting. We propose a principled framework for distributing data and processing in a hybrid cloud that meets the conf