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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Chunk-Level Moving Target Defense in Distributed File Systems: An Architectural Framework for Ransomware Resilience

Authors: Snyder, Lawrence;

Chunk-Level Moving Target Defense in Distributed File Systems: An Architectural Framework for Ransomware Resilience

Abstract

This paper presents Dynamic Chunk Rotation (DCR), a storage-layer moving target defense mechanism for distributed file systems. DCR periodically migrates data chunks across storage nodes, causing attacker topology knowledge to decay over time and creating a structural gap in the ransomware kill chain at the lateral movement-to-execution phase. We develop a formal knowledge decay model, derive bounds on attacker success probability as a function of rotation parameters, and analyze the security-overhead tradeoff. An adaptive tier-escalation daemon (Lorraine) provides threat-responsive rotation frequency control. Proof-of-concept implementation on a 7-node MooseFS cluster demonstrates empirical validation of the decay curve across dwell times of 0 through 20 rotation cycles. Two U.S. provisional patents pending.

Keywords

distribute file systems, cybersecurity, storage security, ransomware resilience, chunck rotation, moving target defense, knowledge decay

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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