DocumentCode :
1707735
Title :
Data Vaporizer - Towards a Configurable Enterprise Data Storage Framework in Public Cloud
Author :
Sengupta, Shubhashis ; Annervaz, K.M. ; Saxena, Amitabh ; Paul, Sanjoy
fYear :
2015
Firstpage :
73
Lastpage :
80
Abstract :
We propose a novel cloud-based data storage solution framework named Data Vaporizer (DV). The proposed framework provides many unique features such as storing data over multiple clouds or storage zones, resistance against organized vendor attacks, maintaining data integrity and confidentiality through client-side processing, fault-tolerance against failure of one or more cloud storage locations and avoids vendor lock-in of data. Data Vaporizer is highly configurable to meet various client data encryption requirements, compliance to industry standards and fault tolerance constraints depending on the nature and sensitivity of the data. To enhance the level of security and reliability, especially to protect data against malicious attacks and secure key management in cloud, DV uses advanced techniques of secret sharing of the keys. The architecture and optimality of data placement and efficient key management algorithm of DV ensure that the solution is highly scalable. The data foot print and subsequent cost incurred by our storage solution is minimal, considering the benefits provided. The initial response for the adoption of DV in actual client scenarios is promising.
Keywords :
cloud computing; data integrity; security of data; storage management; client data encryption; cloud storage; confidentiality through client-side processing; configurable enterprise data storage framework; data integrity; data vaporizer; key management algorithm; keys secret sharing; public cloud; resistance against organized vendor attacks; storage zones; Cloud computing; Encoding; Encryption; Fault tolerance; Fault tolerant systems; Industries; cloud storage; data archival; enterprise data; fault-tolerance; integrity; optimal storage; privacy; secret key sharing; secure multi-party computation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on
Conference_Location :
New York City, NY
Print_ISBN :
978-1-4673-7286-2
Type :
conf
DOI :
10.1109/CLOUD.2015.20
Filename :
7214030
Link To Document :
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