I am doctoral student in computer science at UC Berkeley, where I have the good fortune of being advised by Vern Paxson. I also have an office at the International Computer Science Institute (ICSI), where I collaborate with folks from the networking and security group. Before moving to California, I received a B.S. and M.S. from the Technische Universität München.
My research concerns network security, with an applied focus on designing distributed systems for large-scale network forensics and high-performance network monitoring. More broadly, I am interested in studying real-world Internet traffic through the lense of security.
Recent publications and talks. See the research page for a complete list.
Robin Sommer, Matthias Vallentin, Lorenzo De Carli, and Vern Paxson. HILTI: An Abstract Execution Environment for Deep, Stateful Network Traffic Analysis. Internet Measurement Conference (IMC). November 2014.
VAST: Visibility Across Space and Time - Architecture and Usage. BroCon. NCSA, Urbana, August 2014.
Matthias Vallentin, Dominik Charousset, Thomas C. Schmidt, Vern Paxson, and Matthias Wählisch. Native Actors: How to Scale Network Forensics. ACM Special Interest Group on Data Communication (SIGCOMM). August 2014. (poster)
VAST: Visibility Across Space and Time - Architecture and Usage. Lawrence Berkeley National Laboratory. Berkeley, July 2014.
|December 18, 2012||Github Commit Emails with Full Diff of Changes|
|December 16, 2011||High-Level Network Traffic Profiling|
|June 22, 2011||Better NIDS Performance by Tracking Roaming Users|
|June 15, 2011||Omni, Take Two|
|June 14, 2011||A Garden Variety of Bloom Filters|
- intrusion detection
- meta programming
- reverse engineering
- traffic analysis
RSS feeds on computer security, software engineering, and applied statistics:
sec-loop: covers computer security topics with an emphasis on Internet security.
new-school-coding: concerns modern software engineering principles, distributed systems, and high-performance application stacks.
statistics-and-friends: involves applied statistics and theoretical aspects of computer science.