I am a postdoctoral researcher at the University of California, Santa Barbara, in the computer security group, a.k.a. seclab. My research interests involve multiple aspects of information security, including binary program analysis, vulnerability discovery, malware analysis, reverse engineering, privacy and confidentiality, and intrusion detection.
Currently, my primary research focus is binary program analysis. Together with other members of the seclab, we are developing ANGR, a next-generation platform for binary analysis, which we use to experiment new approaches and techniques to detect and prevent vulnerabilities in binary software.
In 2013, I received a Ph.D. in computer science from the university of Rennes 1 and Queensland University of Technology (QUT) as part of a joint Ph.D. program. I have been working on a kernel-level anomaly detection model for distributed systems.
SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis
Y Shoshitaishvili, R Wang, C Salls, N Stephens, M Polino, A Dutcher, J Grosen, S Feng, C Hauser, C Kruegel, G Vigna
IEEE symposium on Security and Privacy (SSP) 2016.
Firmalice - Automatic Detection of Authentication Bypass Vulnerabilities in Binary Firmware
Y Shoshitaishvili, R Wang, C Hauser, C Kruegel, G Vigna
Network and Distributed System Security Symposium (NDSS) 2015.
A basis for intrusion detection in distributed systems using kernel-level data tainting – Ph.D. thesis, 2013.
Intrusion detection in distributed systems, an approach based on taint marking
C Hauser, F Tronel, C Fidge, L Mé
IEEE International conference on Computer Communications (ICC) 2013.
A taint marking approach to confidentiality violation detection
C Hauser, F Tronel, J Reid, C Fidge
10th Australasian Information Security Conference (AISC) 2012.
Information flow control for intrusion detection derived from MAC policy
S Geller, C Hauser, F Tronel, VVT Tong
IEEE International Conference onComputer Communications (ICC) 2011.
Misc. papers & presentation
- Overview of OpenBSD (French), 2010.
- Some notes about chords estimation from audio, University of Tokyo, 2009.
- Probabilistic modeling of musical chord sequences for music analysis, (Report) IRISA/INRIA, Metiss Team, 2009.