English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/135120
logo share SHARE   Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:


State of the Art in Similarity Preserving Hashing Functions

AuthorsGayoso Martínez, Víctor; Hernández Álvarez, Fernando; Hernández Encinas, Luis
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
Appears in Collections:(ITEFI) Comunicaciones congresos
Files in This Item:
File Description SizeFormat 
Similarity_preserving_Hashing_functions.pdf68,14 kBAdobe PDFThumbnail
Show full item record
Review this work

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.