Machine Learning for Encrypted Malware Traffic Classification-Reference-Cited by-同舟云学术

Machine Learning for Encrypted Malware Traffic Classification

Published:2017-08-13 Issue: Volume: Page:
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Container-title:Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
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Author:

Anderson Blake¹,McGrew David¹

Affiliation:

1. Cisco Systems, Inc., San Jose, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3097983.3098163

Reference40 articles.

1. Blake Anderson Subharthi Paul and David McGrew. 2016. Deciphering Malware's Use of TLS (without Decryption) ArXiv e-prints. Blake Anderson Subharthi Paul and David McGrew. 2016. Deciphering Malware's Use of TLS (without Decryption) ArXiv e-prints.

2. Mike Belshe Roberto Peon and Martin Thomson. 2015. Hypertext Transfer Protocol Version 2 (HTTP/2). RFC 7540 (Proposed Standard). (2015). showURL%http://www.ietf.org/rfc/rfc7540.txt Mike Belshe Roberto Peon and Martin Thomson. 2015. Hypertext Transfer Protocol Version 2 (HTTP/2). RFC 7540 (Proposed Standard). (2015). showURL%http://www.ietf.org/rfc/rfc7540.txt

3. Battista Biggio Blaine Nelson and Pavel Laskov. 2012. Poisoning Attacks against Support Vector Machines International Conference on Machine Learning (ICML). 1807--1814. Battista Biggio Blaine Nelson and Pavel Laskov. 2012. Poisoning Attacks against Support Vector Machines International Conference on Machine Learning (ICML). 1807--1814.

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