A Lightweight Double-Stage Scheme to Identify Malicious DNS over HTTPS Traffic Using a Hybrid Learning Approach

The Domain Name System (DNS) protocol essentially translates domain names to IP addresses, enabling browsers to load and utilize Internet resources. Despite its major role, DNS is vulnerable to various security loopholes that attackers have continually abused. Therefore, delivering secure DNS traffi...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 23; číslo 7; s. 3489
Hlavní autori:	Abu Al-Haija, Qasem, Alohaly, Manar, Odeh, Ammar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 27.03.2023 MDPI
Predmet:	Analysis artificial intelligence Blended learning Communication Confidentiality Cybercrime cybersecurity Design DNS over HTTPS (DoH) Domain Name System (DNS) Domain names Internet Machine learning Malware Network security Privacy Protocol Servers Transmission Control Protocol/Internet Protocol (Computer network protocol) URLs United States DNS over HTTPS (DoH) machine learning cybersecurity Domain Name System (DNS) artificial intelligence
ISSN:	1424-8220, 1424-8220
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