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.
Originalsprache | Englisch |
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Titel | Latin American High Performance Computing Conference |
Untertitel | CARLA 2017: High Performance Computing |
Seiten | 370-383 |
Seitenumfang | 14 |
Band | 796 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2018 |
Veranstaltung | 4th Latin American Conference on High Performance Computing - , Argentinien Dauer: 20 Sep. 2017 → 22 Sep. 2017 http://carla2017.ccarla.org/ |
Konferenz
Konferenz | 4th Latin American Conference on High Performance Computing |
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Kurztitel | CARLA 2017 |
Land/Gebiet | Argentinien |
Zeitraum | 20/09/17 → 22/09/17 |
Internetadresse |