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Thursday, March 2 • 09:00 - 10:30
Data Mining for Security (1)

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Many tasks in computer security revolve around the manual analysis of data, such as the inspection of log files or network traffic. Data mining and machine learning can help to accelerate these tasks and provides versatile tools for detecting and analyzing security data. The sesions deals with the combination of machine learning and computer security. After a short introduction to the basics of machine learning, we present common learning concepts and discuss how they are applied to security problems, such as intrusion detection, malware analysis or vulnerability discovery.

avatar for Konrad Rieck

Konrad Rieck

Professor, TU Braunschweig
I am a Professor of Computer Science at Technische Universität Braunschweig. I am leading the Institute of System Security. Prior to taking this position, I have been working at the University of Göttingen, Technische Universität Berlin and Fraunhofer Institute FIRST. | | My research interests revolve around computer security and machine learning. This includes the detection of computer attacks, the analysis of malicious software, and the... Read More →

Thursday March 2, 2017 09:00 - 10:30
Room: Lemaire

Attendees (5)