[PDF][PDF] Detecting malicious dns over https traffic in domain name system using machine learning classifiers
YM Banadaki - Journal of Computer Sciences and Applications, 2020 - researchgate.net
This paper presents a systematic two-layer approach for detecting DNS over HTTPS (DoH)
traffic and distinguishing Benign-DoH traffic from Malicious-DoH traffic using six machine …
traffic and distinguishing Benign-DoH traffic from Malicious-DoH traffic using six machine …
[PDF][PDF] Detecting Malicious DNS over HTTPS Traffic in Domain Name System using Machine Learning Classifiers
YM Banadaki - Journal of Computer Sciences and Applications, 2020 - academia.edu
This paper presents a systematic two-layer approach for detecting DNS over HTTPS (DoH)
traffic and distinguishing Benign-DoH traffic from Malicious-DoH traffic using six machine …
traffic and distinguishing Benign-DoH traffic from Malicious-DoH traffic using six machine …
[引用][C] Detecting Malicious DNS over HTTPS Traffic in Domain Name System using Machine Learning Classifiers
YM Banadaki - Journal of Computer Sciences …, 2020 - article …
This paper presents a systematic two-layer approach for detecting DNS over HTTPS (DoH)
traffic and distinguishing Benign-DoH traffic from Malicious-DoH traffic using six machine …
traffic and distinguishing Benign-DoH traffic from Malicious-DoH traffic using six machine …
[PDF][PDF] Detecting Malicious DNS over HTTPS Traffic in Domain Name System using Machine Learning Classifiers
YM Banadaki - Journal of Computer Sciences and Applications, 2020 - researchgate.net
This paper presents a systematic two-layer approach for detecting DNS over HTTPS (DoH)
traffic and distinguishing Benign-DoH traffic from Malicious-DoH traffic using six machine …
traffic and distinguishing Benign-DoH traffic from Malicious-DoH traffic using six machine …