Please use this identifier to cite or link to this item:

Big Data SAVE: Secure Anonymous Vault Environment

File Size Format  
0706.pdf 351.9 kB Adobe PDF View/Open

Item Summary

Title:Big Data SAVE: Secure Anonymous Vault Environment
Authors:Soliman, Omar
Keywords:Cyber Systems and Analytics
Software Technology
Anonymous, Big Data, Encryption, Vault, Warrant-proof
Date Issued:08 Jan 2019
Abstract:There has been great progress in taming the volume, velocity and variation of Big Data. Its volume creates need for increased storage space and improved data handling. Its velocity is concern for the speed and efficiency of applied algorithms and processes. Its variation requires flexibility to handle assorted data-types. However, as with many emerging fields, security has taken a backseat to benchmarks. This has led to retrofitting traditional security techniques ill-suited for Big Data protection, or high-performance setups exposed to data breach. Proposed is an innovative storage system that can provide large-scale, low-overhead data security, akin to safe-deposit boxes. This approach allows for anonymously-shared storage space, discrete levels of access, plausible deniability, and customizable degrees of overall protection (including warrant-proof). A promising factor of this new model is the use of a simple encryption algorithm (proven faster than industry-standard ciphers), that provides inherent attack resiliency and strong backward secrecy.
Pages/Duration:10 pages
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections: Cyber Systems and Analytics

Please email if you need this content in ADA-compliant format.

This item is licensed under a Creative Commons License Creative Commons