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Publications of Author

1. Konrad Rieck, Pavel Laskov, Klaus-Robert Müller
   Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels. [Citation Graph (0, 0)][DBLP]
   DAGM-Symposium, 2006, pp:374-383 [Conf]
   
2. Konrad Rieck, Pavel Laskov
   Detecting Unknown Network Attacks Using Language Models. [Citation Graph (0, 0)][DBLP]
   DIMVA, 2006, pp:74-90 [Conf]
   
3. Pavel Laskov, Patrick Düssel, Christin Schäfer, Konrad Rieck
   Learning Intrusion Detection: Supervised or Unsupervised?. [Citation Graph (0, 0)][DBLP]
   ICIAP, 2005, pp:50-57 [Conf]
   
4. Pavel Laskov, Konrad Rieck, Christin Schäfer, Klaus-Robert Müller
   Visualization of anomaly detection using prediction sensitivity. [Citation Graph (0, 0)][DBLP]
   Sicherheit, 2005, pp:197-208 [Conf]
   
5. Konrad Rieck, Pavel Laskov, Sören Sonnenburg
   Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees. [Citation Graph (0, 0)][DBLP]
   NIPS, 2006, pp:1177-1184 [Conf]
   
6. Konrad Rieck, Pavel Laskov
   Language models for detection of unknown attacks in network traffic. [Citation Graph (0, 0)][DBLP]
   Journal in Computer Virology, 2007, v:2, n:4, pp:243-256 [Journal]
   
7. 
   Active learning for network intrusion detection. [Citation Graph (, )][DBLP]
   
   
8. 
   08102 Working Group -- Requirements for Network Monitoring from an IDS Perspective. [Citation Graph (, )][DBLP]
   
   
9. 
   8102 Working Group -- Attack Taxonomy. [Citation Graph (, )][DBLP]
   
   
10. 
    Learning and Classification of Malware Behavior. [Citation Graph (, )][DBLP]
    
    
11. 
    Incorporation of Application Layer Protocol Syntax into Anomaly Detection. [Citation Graph (, )][DBLP]
    
    
12. 
    Measuring and Detecting Fast-Flux Service Networks. [Citation Graph (, )][DBLP]
    
    
13. 
    Botzilla: detecting the "phoning home" of malicious software. [Citation Graph (, )][DBLP]
    
    
14. 
    TokDoc: a self-healing web application firewall. [Citation Graph (, )][DBLP]
    
    
15. 
    A Self-learning System for Detection of Anomalous SIP Messages. [Citation Graph (, )][DBLP]
    
    
16. 
    Securing IMS against novel threats. [Citation Graph (, )][DBLP]