An adaptive framework for the detection of novel botnets

Author:

Álvarez Cid-Fuentes JavierORCID,Szabo Claudia,Falkner Katrina

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference40 articles.

1. Time-series similarity queries employing a feature-based approach;Alcock,1999

2. From throw-away traffic to bots: detecting the rise of DGA-based malware;Antonakakis,2012

3. Towards effective feature selection in machine learning-based botnet detection approaches;Beigi,2014

4. BotGAD: detecting botnets by capturing group activities in network traffic;Choi,2009

5. Conficker. Conficker left manchester unable to issue traffic tickets, 2009. https://www.theregister.co.uk/2009/07/01/conficker_council_infection/.

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