Visual Clustering of Spam Emails for DDoS Analysis

IEEE Computer Society
Publication Type:
Conference Proceeding
Proc. of 15th IEEE International Conference on Information Visualization (2011), 2011, pp. 65 - 72
Issue Date:
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Networking attacks embedded in spam emails are increasingly becoming numerous and sophisitcated in nature. Hence this has given a growing need for spam e-mail analysis to identify these attacks. The use of these intrusion detection systems has given rise to other two issues 1) the presentation and undersatanding of large ammounts of spam e-mails, 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 visualisation allows users to interactively select and scale down the scope of views for better undersanding of different types of the spam email attacks. The experiment shows that this new model with the clustering visualization can be effecitvely used for network security analysis.
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