Pith. sign in

REVIEW 1 cited by

Systematic Evaluation of Forensic Data Acquisition using Smartphone Local Backup

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2404.12808 v1 pith:RSHCGVZD submitted 2024-04-19 cs.CR

classification cs.CR
keywords backuplocaldataacquisitionevaluationforensiccasesdevices
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

Due to the increasing security standards of modern smartphones, forensic data acquisition from such devices is a growing challenge. One rather generic way to access data on smartphones in practice is to use the local backup mechanism offered by the mobile operating systems. We study the suitability of such mechanisms for forensic data acquisition by performing a thorough evaluation of iOS's and Android's local backup mechanisms on two mobile devices. Based on a systematic and generic evaluation procedure comparing the contents of local backup to the original storage, we show that in our exemplary practical evaluations, in most cases (but not all) local backup actually yields a correct copy of the original data from storage. Our study also highlights corner cases, such as database files with pending changes, that need to be considered when assessing the integrity and authenticity of evidence acquired through local backup.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. MoLIFE: Methodology, Technologies, and Challenges for Mobile Live Intelligent Forensics Examination

    cs.CR 2026-07 conditional novelty 5.0 of 10

    A mobile Digital Twin with super-user privileges can replicate a real device's forensic data content at 95-100% similarity, enabling privileged forensic analysis without modifying the physical evidence.

Pith tools