Mass MailingWorm Detection by Means of Situation Aware DNS ; Article #: ; Date of Conference: 21-23 March 2007 ; Date Added to IEEE Xplore: 02 April 2007.

Mass MailingWorm Detection by Means of Situation Aware DNS ; Article #: ; Date of Conference: 21-23 March 2007 ; Date Added to IEEE Xplore: 02 April 2007.

A method for automatic behaviour classification on the name servers to detect mass mailing worm activity is presented, based on applying spatial data mining ...

By utilizing data mining in combination with the wavelet theory to extract time and frequency characteristics of DNS traffic, a method is presented to detect ...

This paper seeks to quantitatively understand the nature of the current threat towards the common name servers. A new tracking technique based on ...

This work proposes a method to detect hosts infected by mass-mailing worms by mining DNS traffic data and applies it to DNS data captured at one of the ...

We focus on the activities of mass-mailing worms and propose a method to detect hosts infected by mass-mailing worms by mining DNS traffic data. Our method ...

In contrast to a normal email message generation, a mass-mailing worm automatically composes the infected email message with no human intervention. In fact ...

In contrast to a normal email message generation, a mass-mailing worm automatically composes the infected email message with no human intervention. In fact ...

実験的サービス公開サイトであるCiNii Labsを公開しました。 Mass MailingWorm Detection by Means of Situation Aware DNS. 被引用文献1件.