Machine Learning-Based Detection of Ransomware Using SDN-Reference-Cited by-同舟云学术

Machine Learning-Based Detection of Ransomware Using SDN

Published:2018-03-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization
language:
Short-container-title:

Author:

Cusack Greg¹,Michel Oliver¹,Keller Eric¹

Affiliation:

1. University of Colorado Boulder, Boulder, CO, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3180465.3180467

Reference16 articles.

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4. Krzysztof Cabaj Marcin Gregorczyk and Wojciech Mazurczyk. 2016. Software- Defined Networking-based Crypto Ransomware Detection Using HTTP Traffic Characteristics. CoRR abs/1611.08294 (2016). arXiv:1611.08294 http://arxiv.org/abs/1611.08294 Krzysztof Cabaj Marcin Gregorczyk and Wojciech Mazurczyk. 2016. Software- Defined Networking-based Crypto Ransomware Detection Using HTTP Traffic Characteristics. CoRR abs/1611.08294 (2016). arXiv:1611.08294 http://arxiv.org/abs/1611.08294

5. Krzysztof Cabaj and Wojciech Mazurczyk. 2016. Using Software-Defined Networking for Ransomware Mitigation: the Case of CryptoWall. CoRRabs/1608.06673 (2016). arXiv:1608.06673 http://arxiv.org/abs/1608.06673 10.1109/MNET.2016.1600110NM Krzysztof Cabaj and Wojciech Mazurczyk. 2016. Using Software-Defined Networking for Ransomware Mitigation: the Case of CryptoWall. CoRRabs/1608.06673 (2016). arXiv:1608.06673 http://arxiv.org/abs/1608.06673 10.1109/MNET.2016.1600110NM

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