I. Ahmed, K. Lhee, H. Shin, and M. Hong, On Improving the Accuracy and Performance of Content-Based File Type Identification, Proceedings of the Fourteenth Australasian Conference on Information Security and Privacy, pp.44-59, 2009.
DOI : 10.1007/11856214_12

L. Aronson and J. Van-den-bos, Towards an Engineering Approach to File Carver Construction, 2011 IEEE 35th Annual Computer Software and Applications Conference Workshops, pp.368-373, 2011.
DOI : 10.1109/COMPSACW.2011.68
URL : https://hal.archives-ouvertes.fr/hal-00644688

S. Axelsson, The normalized compression distance as a file fragment classifier, Digital Investigation, pp.24-31, 2010.

S. Axelsson, Using Normalized Compression Distance for Classifying File Fragments, 2010 International Conference on Availability, Reliability and Security, pp.641-646, 2010.
DOI : 10.1109/ARES.2010.100

M. Burrows, D. Wheeler, and . Block, Sorting Lossless Data Compression Algorithm, 1994.

W. Calhoun and D. Coles, Predicting the types of file fragments, Digital Investigation, pp.14-20, 2008.
DOI : 10.1016/j.diin.2008.05.005

M. Cebrian, M. Alfonseca, and A. Ortega, Common pitfalls using normalized compression distance: What to watch out for in a compressor, Communications in Information and Systems, vol.5, issue.4, pp.367-400, 2005.

M. Cebrian, M. Alfonseca, and A. Ortega, The Normalized Compression Distance Is Resistant to Noise, IEEE Transactions on Information Theory, vol.53, issue.5, pp.1895-1990, 2007.
DOI : 10.1109/TIT.2007.894669

R. Cilibrasi, Statistical Inference Through Data Compression, 2007.

J. Cleary and I. Witten, Data Compression Using Adaptive Coding and Partial String Matching, IEEE Transactions on Communications, vol.32, issue.4, pp.396-402, 1984.
DOI : 10.1109/TCOM.1984.1096090
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4305

P. Deutsch, DEFLATE Compressed Data Format Specification Version 1.3, RFC 1951, 1996.
DOI : 10.17487/rfc1951

P. Deutsch, GZIP File Format Specification Version 4.3, RFC 1952, 1996.
DOI : 10.17487/rfc1952

R. Feldt, R. Torkar, T. Gorschek, and W. Afzal, Searching for Cognitively Diverse Tests: Towards Universal Test Diversity Metrics, 2008 IEEE International Conference on Software Testing Verification and Validation Workshop, pp.178-186, 2008.
DOI : 10.1109/ICSTW.2008.36

S. Fitzgerald, G. Mathews, C. Morris, and O. Zhulyn, Using NLP techniques for file fragment classification, Digital Investigation, pp.44-49, 2012.
DOI : 10.1016/j.diin.2012.05.008

S. Garfinkel, P. Farrell, V. Roussev, and D. Dinolt, Bringing science to digital forensics with standardized forensic corpora, Digital Investigation, pp.2-11, 2009.
DOI : 10.1016/j.diin.2009.06.016

Q. Li, A. Ong, P. Suganthan, and V. Thing, A novel support vector machine approach to high entropy data fragment classification, Proceedings of the South African Information Security Multi- Conference, pp.236-247, 2010.

W. Li, K. Wang, S. Stolfo, and B. Herzog, Fileprints: Identifying file types by n-gram analysis, Proceedings of the Sixth Annual IEEE SMC Information Assurance Workshop, pp.64-71, 2005.

C. Veenman, Statistical disk cluster classification for file carving, Proceedings of the Third International Symposium on Information Assurance and Security, pp.393-398, 2007.
DOI : 10.1109/isias.2007.4299805
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.132.4039