John A. Doe Department of Computer Science University of Data Engineering City, Country john.doe@ude.edu
Abstract—The proliferation of data backup formats (tar, zip, dmg, vhd, cloud snapshots) creates significant friction in data recovery, forensic analysis, and archival validation. Current tools require specific parsers for each format, leading to vendor lock-in and time-consuming context switching. This paper proposes the Multi-Backup Viewer (MBV), a unified logical framework capable of mounting, indexing, and rendering heterogeneous backup archives through a single abstracted interface. We present a modular architecture based on a common intermediate representation (CIR) and a FUSE-based virtual filesystem. Experimental results show that MBV reduces the average time-to-inspection by 67% compared to traditional workflows, with a memory overhead of less than 15% per concurrent archive. The system supports 12 major backup formats and provides a read-only, auditable view suitable for compliance and forensic use cases. multi backup viewer
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