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Wednesday, January 11 • 9:00am - 9:30am
Mothra: A Large-Scale Data Processing Platform for Network Security Analysis

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Netflow was designed to retain the key attributes of network conversations between TCP/IP endpoints on large networks without having to collect, store, and analyze all of the network's packet-level data. Over time, however, demand has increased for a platform that can support analytical workflows that make use of attributes beyond the transport layer. With the advent of template-based flow formats such as IPFIX, flow collectors are capable of collecting and exporting some of these attributes, but retaining finer-grained details of network conversations in a more flexible format has made efficient storage and analysis of this data at scale challenging.

The Mothra network analysis platform, built on the Apache Spark cluster computing framework, enables scalable analytical workflows that extend beyond the limitations of conventional flow records. In this presentation, I will describe the Mothra architecture and demonstrate some of its capabilities, with a focus on how the platform can provide for increased analytical fidelity, simplified sharing of analysis techniques and results, and
reduced training time for new analysts.

Speakers
avatar for Anthony Cebzanov

Anthony Cebzanov

Engineer, CERT Division, Software Engineering Institute
Tony Cebzanov is a Member of the Technical Staff at Carnegie Mellon University’s Software Engineering Institute. As a software engineer working for the CERT Security Automation Directorate, Tony develops software systems used to detect and mitigate network security threats. Tony holds Master of Software Engineering and Bachelor of Science in Computer Science degrees from The Pennsylvania State University.



Wednesday January 11, 2017 9:00am - 9:30am
Great Room V-VIII 7450 Hazard Center Dr.

Attendees (25)