Identifying Encrypted Malware Traffic with Contextual Flow Data-Reference-Cited by-同舟云学术

Identifying Encrypted Malware Traffic with Contextual Flow Data

Published:2016-10-28 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security
language:
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Author:

Anderson Blake¹,McGrew David¹

Affiliation:

1. Cisco, San Jose, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2996758.2996768

Reference44 articles.

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4. W3C Extended Log File Format (IIS 6.0). https://www.microsoft.com/technet/prodtechnol/WindowsServer2003/Library/IIS/676400bc-8969-4aa7-851a-9319490a9bbb 2016. W3C Extended Log File Format (IIS 6.0). https://www.microsoft.com/technet/prodtechnol/WindowsServer2003/Library/IIS/676400bc-8969-4aa7-851a-9319490a9bbb 2016.

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