- CSB - MetaPress - Google - Bing - Yahoo
 | 2013 | |
|---|---|---|
| j9 |      | N. Goernitz, Marius Kloft, Konrad Rieck, Ulf Brefeld: Toward Supervised Anomaly Detection. J. Artif. Intell. Res. (JAIR) 46: 235-262 (2013) |
| 2012 | ||
| j8 | | Tammo Krueger, Konrad Rieck: Intelligent Defense against Malicious JavaScript Code. Praxis der Informationsverarbeitung und Kommunikation 35(1): 54-60 (2012) |
| c23 | | Fabian Yamaguchi, Markus Lottmann, Konrad Rieck: Generalized vulnerability extrapolation using abstract syntax trees. ACSAC 2012: 359-368 |
| c22 | | Kristof Schütt, Marius Kloft, Alexander Bikadorov, Konrad Rieck: Early detection of malicious behavior in JavaScript code. AISec 2012: 15-24 |
| c21 | | Tammo Krueger, Hugo Gascon, Nicole Krämer, Konrad Rieck: Learning stateful models for network honeypots. AISec 2012: 37-48 |
| c20 | | Guido Schwenk, Alexander Bikadorov, Tammo Krueger, Konrad Rieck: Autonomous learning for detection of JavaScript attacks: vision or reality? AISec 2012: 93-104 |
| 2011 | ||
| j7 | | Konrad Rieck: Self-Learning Network Intrusion Detection. it - Information Technology 53(3): 152-156 (2011) |
| j6 | | Konrad Rieck, Philipp Trinius, Carsten Willems, Thorsten Holz: Automatic analysis of malware behavior using machine learning. Journal of Computer Security 19(4): 639-668 (2011) |
| j5 | | Konrad Rieck: Similarity measures for sequential data. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 1(4): 296-304 (2011) |
| c19 | | |
| c18 | | Fabian Yamaguchi, Felix F. X. Lindner, Konrad Rieck: Vulnerability Extrapolation: Assisted Discovery of Vulnerabilities Using Machine Learning. WOOT 2011: 118-127 |
| 2010 | ||
| j4 | | Konrad Rieck, Tammo Krueger, Ulf Brefeld, Klaus-Robert Müller: Approximate Tree Kernels. Journal of Machine Learning Research 11: 555-580 (2010) |
| c17 | | Konrad Rieck, Tammo Krueger, Andreas Dewald: Cujo: efficient detection and prevention of drive-by-download attacks. ACSAC 2010: 31-39 |
| c16 | | Tammo Krueger, Nicole Krämer, Konrad Rieck: ASAP: Automatic Semantics-Aware Analysis of Network Payloads. PSDML 2010: 50-63 |
| c15 | | Tammo Krueger, Christian Gehl, Konrad Rieck, Pavel Laskov: TokDoc: a self-healing web application firewall. SAC 2010: 1846-1853 |
| c14 | | Konrad Rieck, Guido Schwenk, Tobias Limmer, Thorsten Holz, Pavel Laskov: Botzilla: detecting the "phoning home" of malicious software. SAC 2010: 1978-1984 |
| c13 | | Philipp Trinius, Carsten Willems, Thorsten Holz, Konrad Rieck: A Malware Instruction Set for Behavior-Based Analysis. Sicherheit 2010: 205-216 |
| 2009 | ||
| b1 | | Konrad Rieck: Machine learning for application layer intrusion detection. Berlin Institute of Technology 2009 |
| j3 | | Stefan Wahl, Konrad Rieck, Pavel Laskov, Peter Domschitz, Klaus-Robert Müller: Securing IMS against novel threats. Bell Labs Technical Journal 14(1): 243-257 (2009) |
| c12 | | Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld: Active learning for network intrusion detection. AISec 2009: 47-54 |
| 2008 | ||
| j2 | | Konrad Rieck, Pavel Laskov: Linear-Time Computation of Similarity Measures for Sequential Data. Journal of Machine Learning Research 9: 23-48 (2008) |
| c11 | | Lothar Braun, Falko Dressler, Thorsten Holz, Engin Kirda, Jan Kohlrausch, Christopher Kruegel, Tobias Limmer, Konrad Rieck, James P. G. Sterbenz: 08102 Working Group -- Requirements for Network Monitoring from an IDS Perspective. Network Attack Detection and Defense 2008 |
| c10 | | Marc Dacier, Hervé Debar, Thorsten Holz, Engin Kirda, Jan Kohlrausch, Christopher Kruegel, Konrad Rieck, James P. G. Sterbenz: 8102 Working Group -- Attack Taxonomy. Network Attack Detection and Defense 2008 |
| c9 | | Konrad Rieck, Thorsten Holz, Carsten Willems, Patrick Düssel, Pavel Laskov: Learning and Classification of Malware Behavior. DIMVA 2008: 108-125 |
| c8 | | Patrick Düssel, Christian Gehl, Pavel Laskov, Konrad Rieck: Incorporation of Application Layer Protocol Syntax into Anomaly Detection. ICISS 2008: 188-202 |
| c7 | | Konrad Rieck, Stefan Wahl, Pavel Laskov, Peter Domschitz, Klaus-Robert Müller: A Self-learning System for Detection of Anomalous SIP Messages. IPTComm 2008: 90-106 |
| c6 | | Thorsten Holz, Christian Gorecki, Konrad Rieck, Felix C. Freiling: Measuring and Detecting Fast-Flux Service Networks. NDSS 2008 |
| 2007 | ||
| j1 | | Konrad Rieck, Pavel Laskov: Language models for detection of unknown attacks in network traffic. Journal in Computer Virology 2(4): 243-256 (2007) |
| 2006 | ||
| c5 | | Konrad Rieck, Pavel Laskov, Klaus-Robert Müller: Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels. DAGM-Symposium 2006: 374-383 |
| c4 | | Konrad Rieck, Pavel Laskov: Detecting Unknown Network Attacks Using Language Models. DIMVA 2006: 74-90 |
| c3 | | Konrad Rieck, Pavel Laskov, Sören Sonnenburg: Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees. NIPS 2006: 1177-1184 |
| 2005 | ||
| c2 | | Pavel Laskov, Patrick Düssel, Christin Schäfer, Konrad Rieck: Learning Intrusion Detection: Supervised or Unsupervised?. ICIAP 2005: 50-57 |
| c1 | | Pavel Laskov, Konrad Rieck, Christin Schäfer, Klaus-Robert Müller: Visualization of anomaly detection using prediction sensitivity. Sicherheit 2005: 197-208 |
Colors in the list of coauthors
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