DedupSnap: A lightweight snapshot backup system
Aryan Sivanandan
, Jobin Ottaveedu , Anshul Purandare , Chirag Meghani , Sachin Pande
Deduplication, Content-Defined Chunking (CDC), Content-Addressable Storage (CAS), Merkle trees, Proofs of Retrievability (PoR), Privacy-preserving dedupeuplication.
The rapid increase in digital data from virtualization and cloud services has intensified the demand for both space-efficient and verifiable storage systems. Traditional full-image backups are grossly inadequate due to the wasted capacity and bandwidth, while offering little assurance regarding the integrity of the data. The application of deduplication and authenticated data structures offers a way forward since it reduces redundancy and enables tamper-evident verification.
DedupSnap is a lightweight snapshot and backup framework that integrates content-defined chunking, SHA-256-based content-addressable storage, and deterministic Merkle-root manifests to create compact, auditable snapshots. This survey reviews the key building blocks behind such systems, including chunking algorithms, indexing and garbage-collection strategies, Merkle-tree engineering, and retrievability proofs like Proofs of Retrievability (PoR). We analyze trade-offs between throughput, deduplication ratio, and audit cost, and outline open challenges in adaptive chunking, index compaction, privacy-preserving deduplication, and audit–GC co-design.
By bridging storage efficiency with verifiable integrity, DedupSnap shows how cryptographic proofs and deduplication can jointly enable scalable, privacy-aware, and tamper-evident backup solutions for compliance-sensitive environments.
"DedupSnap: A lightweight snapshot backup system", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 12, page no.a576-a580, December-2025, Available :https://ijsdr.org/papers/IJSDR2512064.pdf
Volume 10
Issue 12,
December-2025
Pages : a576-a580
Paper Reg. ID: IJSDR_306351
Published Paper Id: IJSDR2512064
Downloads: 000102
Research Area: Science and Technology
Country: Pune , Maharashtra, India
DOI: https://doi.org/10.56975/ijsdr.v10i12.306351
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave