[2210.00856] A forensic analysis of the Google Home: repairing compressed data without error correction
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Computer Science > Cryptography and Security

arXiv:2210.00856 (cs)
[Submitted on 30 Sep 2022]

Title:A forensic analysis of the Google Home: repairing compressed data without error correction

Authors:Hadrien Barral, Georges-Axel Jaloyan, Fabien Thomas-Brans, Matthieu Regnery, Rémi Géraud-Stewart, Thibaut Heckmann, Thomas Souvignet, David Naccache
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Abstract:This paper provides a detailed explanation of the steps taken to extract and repair a Google Home's internal data. Starting with reverse engineering the hardware of a commercial off-the-shelf Google Home, internal data is then extracted by desoldering and dumping the flash memory. As error correction is performed by the CPU using an undisclosed method, a new alternative method is shown to repair a corrupted SquashFS filesystem, under the assumption of a single or double bitflip per gzip-compressed fragment. Finally, a new method to handle multiple possible repairs using three-valued logic is presented.
Comments: 28 pages, modified version of paper that appeared originally at Forensic Science International: Digital Investigation
Subjects: Cryptography and Security (cs.CR); Information Retrieval (cs.IR)
Cite as: arXiv:2210.00856 [cs.CR]
  (or arXiv:2210.00856v1 [cs.CR] for this version)
  https://doi.org/10.48550/arXiv.2210.00856
Journal reference: Forensic Science International: Digital Investigation, Volume 42, 2022, 301437, ISSN 2666-2817
Related DOI: https://doi.org/10.1016/j.fsidi.2022.301437

Submission history

From: Georges-Axel Jaloyan [view email]
[v1] Fri, 30 Sep 2022 03:17:38 UTC (11,796 KB)
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