Effective DGA Family Classification Using a Hybrid Shallow and Deep Packet Inspection Technique on P4 Programmable Switches-Reference-Cited by-同舟云学术

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Effective DGA Family Classification Using a Hybrid Shallow and Deep Packet Inspection Technique on P4 Programmable Switches

Published:2023-05-28 Issue: Volume: Page:
ISSN:
Container-title:ICC 2023 - IEEE International Conference on Communications
language:
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Author:

AlSabeh Ali¹,Friday Kurt²,Crichigno Jorge¹,Bou-Harb Elias²

Affiliation:

1. College of Engineering and Computing, University of South Carolina (USC),Columbia,South Carolina,USA

2. The Cyber Center For Security and Analytics, University of Texas at San Antonio (UTSA),Information Systems and Cyber Security Dept.,San Antonio,Texas,USA

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10278505/10278554/10279024.pdf?arnumber=10279024

Reference31 articles.

1. First Step Towards EXPLAINable DGA Multiclass Classification

2. A Machine Learning Framework for Domain Generation Algorithm-Based Malware Detection

3. {FANCI}: Feature-based automated {NXDomain} classification and intelligence;Schüppen,2018

4. Detecting DGA malware using NetFlow

5. P4

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On DGA Detection and Classification Using P4 Programmable Switches;Computers & Security;2024-10

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