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Detecting Malicious Use of DoH Tunnels Using Statistical Tr..:
, In:
Proceedings of the 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks on 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks
,
Moure-Garrido, Marta
;
Campo, Celeste
;
Garcia-Rubio, Carlos
- p. 25-32 , 2022
Link:
https://dl.acm.org/doi/10.1145/3551663.3558605
RT T1 <cTitle>Proceedings of the 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks on 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks</cTitle>: T1 <Title>Detecting Malicious Use of DoH Tunnels Using Statistical Traffic Analysis</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3558605&Exemplar=1&LAN=DE A1 Moure-Garrido, Marta A1 Campo, Celeste A1 Garcia-Rubio, Carlos PB ACM YR 2022 K1 DNS tunnels K1 DoH traffic K1 classification K1 malicious DoH K1 statistical analysis K1 Security and privacy K1 Network security K1 Security protocols K1 Networks K1 Network properties K1 Network privacy and anonymity K1 Network performance evaluation K1 Network performance analysis SP 25 OP 32 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3551663.3558605 DO https://dl.acm.org/doi/10.1145/3551663.3558605 SF ELIB - SuUB Bremen
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