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Title

State of the Art in Similarity Preserving Hashing Functions

AuthorsGayoso Martínez, Víctor; Hernández Álvarez, Fernando; Hernández Encinas, Luis
KeywordsForensics
Hash Functions
Similarity Preserving
Issue Date21-Jul-2014
CitationThe 2014 International Conference on Security and Management (SAM’14), Worldcomp 2014, p.139-145
AbstractOne of the goals of digital forensics is to analyse the content of digital devices by reducing its size and complexity. Similarity preserving hashing functions help to accomplish that mission through a resemblance comparison between different files. Some of the best-known functions of this type are the context-triggered piecewise hashing functions, which create a signature formed by several hashes of the initial file. In this contribution, we present the state of the art of the most important similarity preserving hashing functions, analysing their main features. We conclude our work listing the most relevant properties that such type of functions should satisfy in order to improve their efficiency.
Description7 páginas, 1 tabla. Comunicación presentada en: The 2014 International Conference on Security and Management (SAM’14), Worldcomp 2014, Las Vegas (USA), 21-24 July 2014.
Publisher version (URL)http://worldcomp-proceedings.com/proc/p2014/SAM9768.pdf
URIhttp://hdl.handle.net/10261/135120
ISBN1-60132-285-2
Appears in Collections:(ITEFI) Comunicaciones congresos
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