Using Network Flow Data to Profile Your Network and Reduce Vulnerabilities
• Podcast
Publisher
Software Engineering Institute
Topic or Tag
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Abstract
A network profile can help identify unintended points of entry, misconfigurations, and other weaknesses that may be visible to attackers.
About the Speaker
Austin Whisnant
Austin Whisnant is a Member of the Technical Staff with the CERT Program at the Software Engineering Institute, a unit of Carnegie Mellon University (CMU). Her research interests include large-scale network traffic analysis, risk analysis, modeling and simulation, and national cybersecurity policy. Whisnant is also currently a PhD student in …
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Sid Faber
Sid Faber is an SEI alumni employee.
Sid Faber is a member of the technical staff within the CERT® Program at the Software Engineering Institute (SEI), a unit of Carnegie Mellon University in Pittsburgh, PA. As a member of the Network Situational Awareness (NetSA) analysis team, Faber supports sponsors by …
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Julia H. Allen
Julia Allen is an SEI alumni employee.
Julia Allen is a principal researcher within the CERT® Division at the Software Engineering Institute (SEI), a unit of Carnegie Mellon University in Pittsburgh, PA. Allen’s areas of interest include operational resilience, security governance, and measurement and analysis. Prior to this technical assignment, …
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