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An Improved Approach to DNS Covert Channel Detection Based on DBM-ENSec

The covert nature of DNS covert channels makes them a widely utilized method for data exfiltration by malicious attackers. In response to this challenge, the present study proposes a detection methodology for DNS covert channels that employs a Deep Boltzmann Machine with Enhanced Security (DBM-ENSec...

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Autori principali: Xinyu Li, Xiaoying Wang, Guoqing Yang, Jinsha Zhang, Chunhui Li, Fangfang Cui, Ruize Gu
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2025-07-01
Serie:Future Internet
Soggetti:
feature selection
integrated learning
DNS covert channel (DCC)
network security
flow detection
Accesso online:https://www.mdpi.com/1999-5903/17/7/319
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