Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/9917
Title: Identification and recovery of JPEG files with missing fragments
Other Titles: Erratum to: Measurements of top-quark pair differential and double-differential cross-sections in the ? +jets channel with pp collisions at s = 13 TeV using the ATLAS detector [Eur. Phys. J. C 79 (2019) 1028] (The European Physical Journal C, (2019), 79, 12, (1028), 10.1140/epjc/s10052-019-7525-6)
Authors: Sencar, H.T.
Memon, N.
Keywords: File recovery
Fragmentation
Huffman code tables
JPEG/JFIF
Codes (symbols)
Digital forensics
Bit sequences
File fragments
File recovery
Fragmentation
Huffman code
Image headers
JPEG/JFIF
Practical issues
Recovery
Issue Date: 2009
Publisher: Digital Forensic Research Workshop
Abstract: Recovery of fragmented files proves to be a challenging task for encoded files like JPEG. In this paper, we consider techniques for addressing two issues related to fragmented JPEG file recovery. First issue concerns more efficient identification of the next fragment of a file undergoing recovery. Second issue concerns the recovery of file fragments which cannot be linked to an existing image header or for which there is no available image header. Current file recovery approaches are not well suited to deal with these practical issues. In addressing these problems, we utilize JPEG file format specifications. More specifically, we propose a technique based on bit sequence matching to identify fragments created by the same Huffman code tables. We also address the construction of a pseudo header needed for recovery of stand-alone file fragments. Some experimental results are provided to support our claims. © 2009 Digital Forensic Research Workshop. Published by Elsevier Ltd. All rights reserved.
Description: 9th Annual Digital Forensic Research Workshop, DFRWS 2009 -- 17 August 2009 through 19 August 2009-Montreal, QC-93678
URI: https://hdl.handle.net/20.500.11851/9917
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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