Paper Info
Title
Data Vaporizer - Towards a Configurable Enterprise Data Storage Framework in Public Cloud
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.
Year
DOI
Venue
2015
10.1109/CLOUD.2015.20
CLOUD
Keywords
Field
DocType
cloud storage, fault-tolerance, data archival, privacy, integrity, secure multi-party computation, secret key sharing, optimal storage, enterprise data
Key management,Computer data storage,Computer science,Information repository,Data integrity,Enterprise data management,Cloud storage,Distributed computing,Cloud computing,Scalability
Conference
ISSN
Citations 
PageRank 
2159-6182
2
0.45
References 
Authors
15
4
Name
Order
Citations
PageRank
Shubhashis Sengupta115821.17
K. M. Annervaz2174.58
Amitabh Saxena310211.63
Sanjoy Paul421.46