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Non-intrusive anomaly detection for encrypted networks
Author(s) -
Luis C. Armendariz
Publication year - 2019
Language(s) - Uncategorized
Resource type - Dissertations/theses
DOI - 10.33915/etd.111
Subject(s) - encryption , computer science , anomaly detection , network packet , deep packet inspection , cluster analysis , confidentiality , data mining , intrusion detection system , anomaly (physics) , artificial intelligence , computer network , computer security , physics , condensed matter physics

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