IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN 2012) 2012
DOI: 10.1109/dsnw.2012.6264692
|View full text |Cite
|
Sign up to set email alerts
|

Utilizing linear subspaces to improve cloud security

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2013
2013
2018
2018

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 12 publications
0
2
0
Order By: Relevance
“…In this approach, an algebraic-based encoding solution, Matrix Block Chaining (MBC), is used to "maintain data security and protocol performance when encoding large files. The design of MBC allows for encoding multiple partitions of the original data in parallel as subsequent encoding operations are not dependent on the output of previous encoding steps" [32]. Their technique was developed specifically for cloud storage, however, and as such does not maintain data availability in a compromised environment.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…In this approach, an algebraic-based encoding solution, Matrix Block Chaining (MBC), is used to "maintain data security and protocol performance when encoding large files. The design of MBC allows for encoding multiple partitions of the original data in parallel as subsequent encoding operations are not dependent on the output of previous encoding steps" [32]. Their technique was developed specifically for cloud storage, however, and as such does not maintain data availability in a compromised environment.…”
Section: Related Workmentioning
confidence: 99%
“…An alternative to secret-split datastores was developed by Zage et al [32]. In this approach, an algebraic-based encoding solution, Matrix Block Chaining (MBC), is used to "maintain data security and protocol performance when encoding large files.…”
Section: Related Workmentioning
confidence: 99%