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PRODID:-//WiCyS - Women in Cybersecurity - ECPv6.16.3//NONSGML v1.0//EN
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X-ORIGINAL-URL:https://www.wicys.org
X-WR-CALDESC:Events for WiCyS - Women in Cybersecurity
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TZOFFSETFROM:+0000
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DTSTART:20220101T000000
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DTSTART;TZID=UTC:20230323T130000
DTEND;TZID=UTC:20230323T140000
DTSTAMP:20260610T135315
CREATED:20230301T172829Z
LAST-MODIFIED:20230301T172856Z
UID:10001214-1679576400-1679580000@www.wicys.org
SUMMARY:Sandia National Laboratories Webinar | Toward Real-time Intrusion Detection In Cyber Networks
DESCRIPTION:Real-time intrusion characterization in cyber networks is a highly complex problem that requires network-informed anomaly detection tools for success. Dynamic analysis of network traffic features provides a means for detecting anomalies related to novel intrusions\, however\, is challenged by data storage\, real-time querying\, and processing constraints. Since a large proportion of features are irrelevant in determining specific intrusion characteristics\, efficient algorithms can be constructed\, based on bespoke selected features. In this talk\, we discuss a variety of current computational methods\, and their pitfalls\, for selecting real-time feature subsets over a range of different network attack types. In doing so\, we highlight a novel capability being developed at Sandia National Laboratories for network traffic intrusion detection.\n\n\n\n\nRegister HERE.
URL:https://www.wicys.org/event/sandia-national-laboratories-webinar-toward-real-time-intrusion-detection-in-cyber-networks/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.wicys.org/wp-content/uploads/2023/03/Toward-real-time-intrusion-detection-in-cyber-networks-Webinar.jpg
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