Automated feature engineering for HTTP tunnel detection-Reference-Cited by-同舟云学术

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Automated feature engineering for HTTP tunnel detection

Published:2016-06 Issue: Volume:59 Page:166-185
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Davis Jonathan J.,Foo Ernest

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference47 articles.

1. The base-rate fallacy and the difficulty of intrusion detection;Axelsson;ACM T Inform Syst Sec,2000

2. Towards effective feature selection in machine learning-based botnet detection approaches;Beigi,2014

3. Web tap: detecting covert web traffic;Borders,2004

4. Detecting dns tunnels using character frequency analysis;Born,2010

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3. Traffic Analytics Development Kits (TADK): Enable Real-Time AI Inference in Networking Apps;2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN);2022-07-05

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