Visual clustering of spam emails for DDoS analysis

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Title Visual clustering of spam emails for DDoS analysis
Author Huang, Maolin; Zhang, Jinson; Nguyen, Quang Vinh; Wang, Junhu
Publication Title Proceedings of the 15th International Conference on Information Visualisation
Editor Ebad Banissi et al
Year Published 2011
Place of publication United States
Publisher IEEE
Abstract Networking attacks embedded in spam emails are increasingly becoming numerous and sophisticated in nature. Hence this has given a growing need for spam email analysis to identify these attacks. The use of these intrusion detection systems has given rise to other two issues, 1) the presentation and understanding of large amounts of spam emails, 2) the user-assisted input and quantified adjustment during the analysis process. In this paper we introduce a new analytical model that uses two coefficient vectors: 'density' and 'weight'for the analysis of spam email viruses and attacks. We then use a visual clustering method to classify and display the spam emails. The visualization allows users to interactively select and scale down the scope of views for better understanding of different types of the spam email attacks. The experiment shows that this new model with the clustering visualization can be effectively used for network security analysis.
Peer Reviewed Yes
Published Yes
Alternative URI
ISBN 978-0-7695-4476-2
Conference name 15th International Conference on Information Visualisation (IV 2011)
Location London
Date From 2011-07-13
Date To 2011-07-15
Date Accessioned 2012-01-12; 2012-04-17T22:22:17Z
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Database Management
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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