Botnet detection via mining of traffic flow characteristics
Authors:
- G. KirubavathiGKG. Kirubavathi
- R. AnithaRAR. Anitha
- 1 February 2016
- journal article
- Published by Elsevier in Computers and Electrical Engineering
- Vol. 50, 91-101
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Big Data Analytics framework for Peer-to-Peer Botnet detection using Random ForestsInformation Sciences, 2014
- A botnet-based command and control approach relying on swarm intelligenceJournal of Network and Computer Applications, 2014
- Modeling and evaluating of typical advanced peer-to-peer botnetPerformance Evaluation, 2014
- Botnet detection based on traffic behavior analysis and flow intervalsComputers & Security, 2013
- Survey on network‐based botnet detection methodsSecurity and Communication Networks, 2013
- BotMosaic: Collaborative network watermark for the detection of IRC-based botnetsJournal of Systems and Software, 2013
- Effective bot host detection based on network failure modelsComputer Networks, 2013
- HTTP botnet detection using hidden semi-Markov model with SNMP MIB variablesInternational Journal of Electronic Security and Digital Forensics, 2013
- A fuzzy pattern-based filtering algorithm for botnet detectionComputer Networks, 2011
- Clustering botnet communication traffic based on n-gram feature selectionComputer Communications, 2011