Detecting the Zeus Banking Malware Using the Random Forest Binary Classification Algorithm and a Manual Feature Selection Process
- 26 April 2020
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 4 references indexed in Scilit:
- Detection of randomized bot command and control traffic on an end-point hostAlexandria Engineering Journal, 2016
- Machine Learning Based Botnet Identification TrafficPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- From ZeuS to Zitmo: Trends in Banking MalwarePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Titans’ revenge: Detecting Zeus via its own flawsComputer Networks, 2013