Identifying almost identical files using context triggered piecewise [An article from: Digital Investigation]
Book Details
Author(s)J. Kornblum
PublisherElsevier
ISBN / ASINB000P6O9F6
ISBN-13978B000P6O9F7
AvailabilityAvailable for download now
Sales Rank99,999,999
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from Digital Investigation, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
Homologous files share identical sets of bits in the same order. Because such files are not completely identical, traditional techniques such as cryptographic hashing cannot be used to identify them. This paper introduces a new technique for constructing hash signatures by combining a number of traditional hashes whose boundaries are determined by the context of the input. These signatures can be used to identify modified versions of known files even if data has been inserted, modified, or deleted in the new files. The description of this method is followed by a brief analysis of its performance and some sample applications to computer forensics.
Description:
Homologous files share identical sets of bits in the same order. Because such files are not completely identical, traditional techniques such as cryptographic hashing cannot be used to identify them. This paper introduces a new technique for constructing hash signatures by combining a number of traditional hashes whose boundaries are determined by the context of the input. These signatures can be used to identify modified versions of known files even if data has been inserted, modified, or deleted in the new files. The description of this method is followed by a brief analysis of its performance and some sample applications to computer forensics.
