Analyzing the real-world applicability of DGA classifiers-Reference-Cited by-同舟云学术

Analyzing the real-world applicability of DGA classifiers

Published:2020-08-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 15th International Conference on Availability, Reliability and Security
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Author:

Drichel Arthur¹,Meyer Ulrike¹,Schüppen Samuel²,Teubert Dominik²

Affiliation:

1. RWTH Aachen University

2. Siemens CERT

Funder

Horizon 2020 Framework Programme

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3407023.3407030

Reference31 articles.

1. DeepDGA

2. Johannes Bader. 2015. Python implementations of reverse engineered DGAs. https://github.com/baderj/domain_generation_algorithms Johannes Bader. 2015. Python implementations of reverse engineered DGAs. https://github.com/baderj/domain_generation_algorithms

3. Exposure

4. Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan Cohen John Tran Bryan Catanzaro and Evan Shelhamer. 2014. cuDNN: Efficient Primitives for Deep Learning. arXiv:1410.0759. Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan Cohen John Tran Bryan Catanzaro and Evan Shelhamer. 2014. cuDNN: Efficient Primitives for Deep Learning. arXiv:1410.0759.

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