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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Bibliographische Detailangaben
Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 23; H. 7; S. 3489
Hauptverfasser:	Abu Al-Haija, Qasem, Alohaly, Manar, Odeh, Ammar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 27.03.2023 MDPI
Schlagworte:	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
Online-Zugang:	Volltext
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