2015 IEEE 8th International Conference on Cloud Computing (CLOUD) (2015)
New York City, NY, USA
June 27, 2015 to July 2, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CLOUD.2015.20
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.
Cloud computing, Encoding, Fault tolerance, Fault tolerant systems, Encryption, Industries
Shubhashis Sengupta, K.M. Annervaz, Amitabh Saxena, Sanjoy Paul, "Data Vaporizer - Towards a Configurable Enterprise Data Storage Framework in Public Cloud", 2015 IEEE 8th International Conference on Cloud Computing (CLOUD), vol. 00, no. , pp. 73-80, 2015, doi:10.1109/CLOUD.2015.20