Abstract
In this paper, we address the application of Redundant Residue Number System (RRNS) to improve the security of public data storage, reduce storage space, and process encrypted data. We provide a comprehensive experimental analysis of Asmuth-Bloom [14] and Mignotte [15] schemes that use RRNS and Secret Sharing Scheme (SSS) to design reliable and secure storage systems. These schemes are studied in real multi-cloud environment to find compromise between performance, redundancy, and data security. We analyze and compare the speeds of encoding/decoding and upload/download of these algorithms for different RRNS settings with 11 well-known cloud storage providers. We also provide a mathematical analysis of the expected system behavior. © Springer International Publishing AG 2018.
Original language | English |
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Title of host publication | Latin American High Performance Computing Conference |
Subtitle of host publication | CARLA 2017: High Performance Computing |
Pages | 370-383 |
Number of pages | 14 |
Volume | 796 |
DOIs | |
Publication status | Published - 2018 |
Event | 4th Latin American Conference on High Performance Computing - , Argentina Duration: 20 Sept 2017 → 22 Sept 2017 http://carla2017.ccarla.org/ |
Conference
Conference | 4th Latin American Conference on High Performance Computing |
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Abbreviated title | CARLA 2017 |
Country/Territory | Argentina |
Period | 20/09/17 → 22/09/17 |
Internet address |
Keywords
- Cloud computing
- Homomorphic encryption
- Reliability
- Residue number system
- Security
- Storage
- Cryptography
- Digital storage
- Energy storage
- Information theory
- Numbering systems
- Experimental analysis
- Ho-momorphic encryptions
- Mathematical analysis
- Redundant residue number systems
- Secret sharing schemes
- Secure storage systems
- Distributed computer systems