Approaches to the classification of high entropy file fragments

Author:

Penrose Philip,Macfarlane Richard,Buchanan William J.

Publisher

Elsevier BV

Subject

Law,Medical Laboratory Technology,Computer Science Applications

Reference45 articles.

1. On improving the accuracy and performance of content-based file type identification;Ahmed,2009

2. Feature-based type identification of file fragments;Amirani;Security and Communication Networks,2013

3. The normalised compression distance as a file fragment classifier;Axelsson;Digital Investigation,2010

4. Predicting the types of file fragments;Calhoun;Digital Investigation,2008

5. Randomness testing of compressed data;Chang;Journal of Computing,2010

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