Abstract
Trustworthy cloud services require practical secure storage and data processing techniques that enable end-users to upload sensitive data and perform computations remotely without having to first download the data. In this paper, we present Dragon fruit, a cloud provider-agnostic searchable cloud data storage solution, that allows the utilization of several existing cloud providers, and the execution of search queries over encrypted data by customers, using unmodified cloud infrastructures. In particular, Dragon fruit makes use of filename search capabilities that most existing cloud providers support to embed searchable data within the cloud. Dragon fruit supports queries using complex Boolean expressions on structured data formats such as JSON. Our evaluation on a real-world test-bed show that Dragon fruit is able to work with several cloud providers such as Google-Drive and Drop box simultaneously and is able to respond to search requests within a few seconds proving a reasonable performance overhead for practical usage.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC |
| Publisher | IEEE Computer Society |
| Pages | 172-177 |
| Number of pages | 6 |
| ISBN (Print) | 9780769551302 |
| DOIs | |
| State | Published - Jan 1 2013 |
| Event | 19th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2013 - Vancouver, BC, Canada Duration: Dec 2 2013 → Dec 4 2013 |
Other
| Other | 19th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2013 |
|---|---|
| Country | Canada |
| City | Vancouver, BC |
| Period | 12/2/13 → 12/4/13 |
Fingerprint
Keywords
- cloud computing
- confidentiality
- privacy
- searchable encryption
- security
- storage
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Computer Science Applications
- Hardware and Architecture
- Software
Cite this
Dragonfruit : Cloud provider-agnostic trustworthy cloud data storage and remote processing. / Rozier, Eric W D; Zonouz, Saman; Redberg, David.
Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC. IEEE Computer Society, 2013. p. 172-177 6820862.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Dragonfruit
T2 - Cloud provider-agnostic trustworthy cloud data storage and remote processing
AU - Rozier, Eric W D
AU - Zonouz, Saman
AU - Redberg, David
PY - 2013/1/1
Y1 - 2013/1/1
N2 - Trustworthy cloud services require practical secure storage and data processing techniques that enable end-users to upload sensitive data and perform computations remotely without having to first download the data. In this paper, we present Dragon fruit, a cloud provider-agnostic searchable cloud data storage solution, that allows the utilization of several existing cloud providers, and the execution of search queries over encrypted data by customers, using unmodified cloud infrastructures. In particular, Dragon fruit makes use of filename search capabilities that most existing cloud providers support to embed searchable data within the cloud. Dragon fruit supports queries using complex Boolean expressions on structured data formats such as JSON. Our evaluation on a real-world test-bed show that Dragon fruit is able to work with several cloud providers such as Google-Drive and Drop box simultaneously and is able to respond to search requests within a few seconds proving a reasonable performance overhead for practical usage.
AB - Trustworthy cloud services require practical secure storage and data processing techniques that enable end-users to upload sensitive data and perform computations remotely without having to first download the data. In this paper, we present Dragon fruit, a cloud provider-agnostic searchable cloud data storage solution, that allows the utilization of several existing cloud providers, and the execution of search queries over encrypted data by customers, using unmodified cloud infrastructures. In particular, Dragon fruit makes use of filename search capabilities that most existing cloud providers support to embed searchable data within the cloud. Dragon fruit supports queries using complex Boolean expressions on structured data formats such as JSON. Our evaluation on a real-world test-bed show that Dragon fruit is able to work with several cloud providers such as Google-Drive and Drop box simultaneously and is able to respond to search requests within a few seconds proving a reasonable performance overhead for practical usage.
KW - cloud computing
KW - confidentiality
KW - privacy
KW - searchable encryption
KW - security
KW - storage
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U2 - 10.1109/PRDC.2013.36
DO - 10.1109/PRDC.2013.36
M3 - Conference contribution
AN - SCOPUS:84906732636
SN - 9780769551302
SP - 172
EP - 177
BT - Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC
PB - IEEE Computer Society
ER -