{"id":{"repo_id":"wvu","oai_identifier":"oai:researchrepository.wvu.edu:etd-1114"},"canonical_url":"https://search.dev.ndltd.org/etd/wvu/oai:researchrepository.wvu.edu:etd-1114","repository":{"repo_id":"wvu","name":"West Virginia University","base_url":"https://researchrepository.wvu.edu/do/oai/"},"display":{"title":"Non-intrusive anomaly detection for encrypted networks","abstract":"The use of encryption is steadily increasing. Packet payloads that are encrypted are becoming increasingly difficult to analyze using IDSs. This investigation uses a new non-intrusive IDS approach to detect network intrusions using a K-Means clustering methodology. It was found that this approach was able to detect many intrusions for these datasets while maintaining the encrypted confidentiality of packet information. This work utilized the KDD '99 and NSL-KDD evaluation datasets for testing.","abstract_html":"The use of encryption is steadily increasing. 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Packet payloads that are encrypted are becoming increasingly difficult to analyze using IDSs. This investigation uses a new non-intrusive IDS approach to detect network intrusions using a K-Means clustering methodology. It was found that this approach was able to detect many intrusions for these datasets while maintaining the encrypted confidentiality of packet information. This work utilized the KDD '99 and NSL-KDD evaluation datasets for testing."]},{"key":"dc:title","label":"Title","values":["Non-intrusive anomaly detection for encrypted networks"]}]}],"canonical_facts":{"dc:contributor":["Roy S. Nutter","Katerina D. Goseva-Popstojanova","Afzel Noore."],"dc:creator":["Armendariz Jr., Luis C."],"dc:date.available":["2018-10-29T07:00:00Z"],"dc:description.abstract":["The use of encryption is steadily increasing. Packet payloads that are encrypted are becoming increasingly difficult to analyze using IDSs. 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