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Title:Folklore: Implementing Data-Untraceable and Scalable Distributed Storage
Author(s):Morales, Ramses V.; Gupta, Indranil
Subject(s):distributed systems
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.
Issue Date:2008-08
Genre:Technical Report
Other Identifier(s):UIUCDCS-R-2008-2994
Rights Information:You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the University of Illinois at Urbana-Champaign Computer Science Department under terms that include this permission. All other rights are reserved by the author(s).
Date Available in IDEALS:2009-04-23

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