Konrad Rieck
Konrad Rieck
Professor of Computer Science, TU Braunschweig
Verified email at tu-bs.de - Homepage
Cited by
Cited by
Drebin: Effective and explainable detection of android malware in your pocket.
D Arp, M Spreitzenbarth, M Hubner, H Gascon, K Rieck, C Siemens
Ndss 14, 23-26, 2014
Automatic analysis of malware behavior using machine learning
K Rieck, P Trinius, C Willems, T Holz
Journal of Computer Security 19 (4), 639-668, 2011
Learning and classification of malware behavior
K Rieck, T Holz, C Willems, P Düssel, P Laskov
Detection of Intrusions and Malware, and Vulnerability Assessment, 108-125, 2008
Measuring and detecting fast-flux service networks
T Holz, C Gorecki, K Rieck, FC Freiling
Proceedings of the Network & Distributed System Security Symposium, 2008
Modeling and discovering vulnerabilities with code property graphs
F Yamaguchi, N Golde, D Arp, K Rieck
2014 IEEE Symposium on Security and Privacy, 590-604, 2014
Structural detection of android malware using embedded call graphs
H Gascon, F Yamaguchi, D Arp, K Rieck
Proceedings of the 2013 ACM workshop on Artificial intelligence and security …, 2013
Learning intrusion detection: supervised or unsupervised?
P Laskov, P Düssel, C Schäfer, K Rieck
International Conference on Image Analysis and Processing, 50-57, 2005
Toward supervised anomaly detection
N Görnitz, M Kloft, K Rieck, U Brefeld
Journal of Artificial Intelligence Research 46, 235-262, 2013
Cujo: Efficient detection and prevention of drive-by-download attacks
K Rieck, T Krueger, A Dewald
Generalized vulnerability extrapolation using abstract syntax trees
F Yamaguchi, M Lottmann, K Rieck
Proceedings of the 28th Annual Computer Security Applications Conference …, 2012
Yes, machine learning can be more secure! a case study on android malware detection
A Demontis, M Melis, B Biggio, D Maiorca, D Arp, K Rieck, I Corona, ...
IEEE Transactions on Dependable and Secure Computing 16 (4), 711-724, 2017
Chucky: Exposing missing checks in source code for vulnerability discovery
F Yamaguchi, C Wressnegger, H Gascon, K Rieck
Proceedings of the 2013 ACM SIGSAC conference on Computer & communications …, 2013
Vulnerability extrapolation: Assisted discovery of vulnerabilities using machine learning
F Yamaguchi, F Lindner, K Rieck
Proceedings of the 5th USENIX conference on Offensive technologies, 13-13, 2011
VCCFinder: Finding potential vulnerabilities in open-source projects to assist code audits
H Perl, S Dechand, M Smith, D Arp, F Yamaguchi, K Rieck, S Fahl, Y Acar
Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications …, 2015
Automatic inference of search patterns for taint-style vulnerabilities
F Yamaguchi, A Maier, H Gascon, K Rieck
2015 IEEE Symposium on Security and Privacy, 797-812, 2015
Linear-Time Computation of Similarity Measures for Sequential Data.
K Rieck, P Laskov
Journal of Machine Learning Research 9 (1), 2008
Continuous authentication on mobile devices by analysis of typing motion behavior
H Gascon, S Uellenbeck, C Wolf, K Rieck
Sicherheit 2014–Sicherheit, Schutz und Zuverlässigkeit, 2014
Language models for detection of unknown attacks in network traffic
K Rieck, P Laskov
Journal in Computer Virology 2 (4), 243-256, 2007
Botzilla: detecting the" phoning home" of malicious software
K Rieck, G Schwenk, T Limmer, T Holz, P Laskov
Proceedings of the 2010 ACM symposium on applied computing, 1978-1984, 2010
Poisoning behavioral malware clustering
B Biggio, K Rieck, D Ariu, C Wressnegger, I Corona, G Giacinto, F Roli
Proceedings of the 2014 workshop on artificial intelligent and security …, 2014
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