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Authors: Mina Sheikh Alishahi ; Mohamed Mejri and Nadia Tawbi

Affiliation: Université Laval, Canada

Keyword(s): Clustering Algorithm, Spam Emails, Machine Learning, Spam Campaign Detection.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: Spam emails constitute a fast growing and costly problems associated with the Internet today. To fight effectively against spammers, it is not enough to block spam messages. Instead, it is necessary to analyze the behavior of spammer. This analysis is extremely difficult if the huge amount of spam messages is considered as a whole. Clustering spam emails into smaller groups according to their inherent similarity, facilitates discovering spam campaigns sent by a spammer, in order to analyze the spammer behavior. This paper proposes a methodology to group large sets of spam emails into spam campaigns, on the base of categorical attributes of spam messages. A new informative clustering algorithm, named Categorical Clustering Tree (CCTree), is introduced to cluster and characterize spam campaigns. The complexity of the algorithm is also analyzed and its efficiency has been proven.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Sheikh Alishahi, M.; Mejri, M. and Tawbi, N. (2015). Clustering Spam Emails into Campaigns. In Proceedings of the 1st International Conference on Information Systems Security and Privacy - ICISSP; ISBN 978-989-758-081-9; ISSN 2184-4356, SciTePress, pages 90-97. DOI: 10.5220/0005244500900097

@conference{icissp15,
author={Mina {Sheikh Alishahi}. and Mohamed Mejri. and Nadia Tawbi.},
title={Clustering Spam Emails into Campaigns},
booktitle={Proceedings of the 1st International Conference on Information Systems Security and Privacy - ICISSP},
year={2015},
pages={90-97},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005244500900097},
isbn={978-989-758-081-9},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Information Systems Security and Privacy - ICISSP
TI - Clustering Spam Emails into Campaigns
SN - 978-989-758-081-9
IS - 2184-4356
AU - Sheikh Alishahi, M.
AU - Mejri, M.
AU - Tawbi, N.
PY - 2015
SP - 90
EP - 97
DO - 10.5220/0005244500900097
PB - SciTePress