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With malware detection techniques increasingly adopting machine learning approaches, the creation of precise training sets becomes more and more important.
Random forests
Leo Breiman · 2001
Earlier work this paper cites.
A malware instruction set for behavior-based analysis
Philipp Trinius, Carsten Willems, Thorsten Holz, and Konrad Rieck · 2009
Earlier work this paper cites.
Zozzle: Low-overhead mostly static javascript malware detection, 2010
B. Zorn C. Seifert C. Curtsinger, B. Livshits · 2010
Earlier work this paper cites.
Http dataset csic 2010
Carmen Torrano Giménez, Alejandro Pérez Villegas, and Gonzalo Álvarez Marañón · 2010
Earlier work this paper cites.
Revolver: An automated approach to the detection of evasive web-based malware
Alexandros Kapravelos, Yan Shoshitaishvili, Marco Cova, Christopher Kruegel, and Giovanni Vigna · 2013
Cited alongside, same era.
Cookieless Monster: Exploring the Ecosystem of Web-based Device Fingerprinting
Wouter Joosen Christopher Kruegel Frank Piessens Giovanni Vigna Nick Nikiforakis, Alexandros Kapravelos · 2013
Cited alongside, same era.
Drebin: Efficient and explainable detection of android malware in your pocket
Daniel Arp, Michael Spreitzenbarth, Malte Huebner, Hugo Gascon, and Konrad Rieck · 2014
Cited alongside, same era.
http://beefproject.com/
Beef project website
Cited in the paper.
http://bugmenot.com/
Bugmenot website
Cited in the paper.
https://docs.mongodb.com/manual/core/gridfs/
Mongodb documentation - gridfs
Cited in the paper.
http://phantomjs.org/
Phantomjs website
Cited in the paper.
https://scikit-learn.org/stable/
Scikit learn website
Cited in the paper.
Prophiler: A fast filter for the large-scale detection of malicious web pages
G. Vigna C. Kruegel. D. Canali, M. Cova
Cited in the paper.
Mobilesandbox: Looking deeper into android applications
Michael Spreitzenbarth, Florian Echtler, Thomas Schreck, Felix C. Freling, and Johannes Hoffmann
Cited in the paper.
An empirical comparison of botnet detection methods
Sebastian Garcia, Martin Grill, Honza Stiborek, and Alejandro Zunino · 2014
Later among the works it cites.
https://www.kaggle.com/c/malware-classification/data
Microsoft malware classification challenge (big 2015) · 2015
Later among the works it cites.
Kharon dataset: Android malware under a microscope
Nicolas Kiss, Jean-François Lalande, Mourad Leslous, and Valérie Viet Triem Tong · 2016
Later among the works it cites.
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