Malware classification using XGboost-Gradient Boosted Decision Tree

Author:

Kumar Rajesh,S Geetha

Publisher

ASTES Journal

Subject

Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)

Reference21 articles.

1. V. Blue, RSA: Brazil's "Boleto Malware" stole nearly $4 billion in two years, https://www.zdnet.com/article/rsa-brazils-boleto-m.

2. F. Cohen, "Theory and Experiments," 6, 22-35, 1987. https://doi.org/10.1016/0167-4048(87)90122-2

3. https://www.virustotal.com

4. C. Rossow, C.J. Dietrich, C. Grier, C. Kreibich, V. Paxson, N. Pohlmann, H. Bos, M. Van Steen, "Prudent practices for designing malware experiments: Status quo and outlook," Proceedings - IEEE Symposium on Security and Privacy, (June 2014), 65-79, 2012, doi:10.1109/SP.2012.14.

5. H.S. Anderson, P. Roth, "EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models," 2018. https://arxiv.org/abs/1804.04637

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