University of Illinois Urbana-Champaign

Folklore: Implementing Data-Untraceable and Scalable Distributed Storage

Morales, Ramses V.; Gupta, Indranil

Content Files
UIUCDCS-R-2008-2994.pdf

Permalink

https://hdl.handle.net/2142/10950

Description

Title
Folklore: Implementing Data-Untraceable and Scalable Distributed Storage
Author(s)
  • Morales, Ramses V.
  • Gupta, Indranil
Issue Date
2008-08
Keyword(s)
Computer Science
Date of Ingest
2009-04-17T15:50:06Z
Abstract
"We have built and deployed a system called Folklore that implements a new property called data untraceability through a proactive migratory replication protocol in a large-scale distributed setting. A data untraceable object, i.e., an object whose replicas cannot be located, is probabilistically difficult to delete from the network. Folklore is a proof-of-concept system that allows data untraceability to be provided hand-in-hand with data availability, updatability, integrity, and scalability. Folklore consists of two subsystems - a pure ""Proactive Folklore"" system, and a ""Reactive Folklore"" system (R-Folklore). R-Folklore is a distributed file storage system that makes files untraceable on-demand at run-time, e.g., when a file is sensed to be under attack through intrusions. Intuitively, R-Folklore stealthily turns vulnerable files into an untraceable form. We have deployed Folklore on the CSIL cluster at UIUC (our undergraduate laboratory). We present experimental results from the deployment, as well as simulation experiments that match deployment results but extend to larger system sizes."
Type of Resource
text
Permalink
http://hdl.handle.net/2142/10950

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Research and Tech Reports - Computer Science PRIMARY