Forensics is a study of evidence to help the police solving crimes. If we apply (Forensics) in Computer Sciences domain, crimes are mainly network attacks found more in emails; which become nowadays the most popular way of communication accessible via Internet. We receive in our Inboxes emails gangs without being aware of them. Therefore, it is necessary to build an automatic checking system to filter good emails from bad ones. In this paper, we propose a new emails processing approach using Singular Value Decomposition method (SVD) to optimize emails data before applying Data Mining techniques (Clustering) to extract bad emails located in the mail servers where the user’s inboxes are hosted. Our study is based on filtering Emails (bads and goods) by the clustering of optimized data compared with unoptimized one.
Accepté le :
DOI : 10.1051/ro/2015057
Mots clés : Email, feronsics, spam, SVD, LSI, optimisation, data mining, clustering
@article{RO_2016__50_4-5_951_0,
author = {Salhi, Dhai Eddine and Tari, Abdelkamel and Kechadi, M-Tahar},
title = {Clustering of optimized data for email forensics},
journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
pages = {951--963},
publisher = {EDP-Sciences},
volume = {50},
number = {4-5},
year = {2016},
doi = {10.1051/ro/2015057},
mrnumber = {3570541},
language = {en},
url = {http://archive.numdam.org/articles/10.1051/ro/2015057/}
}
TY - JOUR AU - Salhi, Dhai Eddine AU - Tari, Abdelkamel AU - Kechadi, M-Tahar TI - Clustering of optimized data for email forensics JO - RAIRO - Operations Research - Recherche Opérationnelle PY - 2016 SP - 951 EP - 963 VL - 50 IS - 4-5 PB - EDP-Sciences UR - http://archive.numdam.org/articles/10.1051/ro/2015057/ DO - 10.1051/ro/2015057 LA - en ID - RO_2016__50_4-5_951_0 ER -
%0 Journal Article %A Salhi, Dhai Eddine %A Tari, Abdelkamel %A Kechadi, M-Tahar %T Clustering of optimized data for email forensics %J RAIRO - Operations Research - Recherche Opérationnelle %D 2016 %P 951-963 %V 50 %N 4-5 %I EDP-Sciences %U http://archive.numdam.org/articles/10.1051/ro/2015057/ %R 10.1051/ro/2015057 %G en %F RO_2016__50_4-5_951_0
Salhi, Dhai Eddine; Tari, Abdelkamel; Kechadi, M-Tahar. Clustering of optimized data for email forensics. RAIRO - Operations Research - Recherche Opérationnelle, Tome 50 (2016) no. 4-5, pp. 951-963. doi : 10.1051/ro/2015057. http://archive.numdam.org/articles/10.1051/ro/2015057/
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