People

ING. MARTIN GRILL, PH.D.

Grill, M., Pevný, T., Rehák, M. 2017 Reducing False Positives of Network Anomaly Detection by Local Adaptive Multivariate Smoothing, detail

Komárek, T., Grill, M., Pevný, T. 2016 Passive NAT Detection Using HTTP Access Logs, detail

Grill, M., Pevný, T. 2016 Learning Combination of Anomaly Detectors for Security Domain, detail

Grill, M., Nikolaev, I., Velaros, V., Rehák, M. 2015 Detecting DGA malware using NetFlow, detail

Rehák, M., Grill, M. 2014 Categorisation of False Positives: Not All Network Anomalies are Born Equal, detail

Grill, M., Rehák, M. 2014 Malware detection using HTTP user-agent discrepancy identification, detail

Buryan, P. 2014 Refinement Action-Based Framework for Utilization of Softcomputing in Inductive Learning, detail

García, S., Grill, M., Stiborek, J., Zunino, A. 2014 An empirical comparison of botnet detection methods, detail

Stiborek, J., Grill, M., Rehák, M., Bartoš, K., Jusko, J. 2014 Game Theoretical Model for Adaptive Intrusion Detection System, detail

Pevný, T., Grill, M., Rehák, M. 2012 Detecting anomalous network hosts by means of PCA, detail

Stiborek, J., Grill, M., Rehák, M., Bartoš, K., Jusko, J. 2012 Game Theoretical Adaptation Model for Intrusion Detection System, detail

Stiborek, J., Grill, M., Rehák, M., Bartoš, K., Jusko, J. 2012 Game Theoretical Adaptation Model for Intrusion Detection System - Demo Paper, detail

Zemanová, M. 2012 Exploiting Ontologies and Higher Order Knowledge in Relational Data Mining, detail

Rehák, M., Pěchouček, M., Grill, M., Stiborek, J., Bartoš, K. 2011 Game Theoretical Adaptation Model for Intrusion Detection System, detail

Rehák, M., Grill, M., Stiborek, J. 2011 On the Value of Coordination in Distributed Self-Adaptation of Intrusion Detection System, detail

Rehák, M., Stiborek, J., Grill, M. 2011 Intelligence, not Integration:Distributed Regret Minimization for IDS Control, detail

Grill, M., Rehák, M., Stiborek, J. 2011 Strategic self-organization methods for intrusion detection systems, detail

Rehák, M., Pěchouček, M., Bartoš, K., Grill, M., Stiborek, J., Svoboda, M., Pevný, T. 2009 Cooperative Adaptive Mechanism for Network Protection, detail

Rehák, M., Bartoš, K., Grill, M., Stiborek, J., Svoboda, M. 2009 Monitoring sití pomocí NetFlow dat - od paketů ke strategiím, detail

Karel, F. 2009 Quantitative Association Rules Mining, detail

Rehák, M., Staab, E., Pěchouček, M., Stiborek, J., Grill, M., Bartoš, K. 2009 Dynamic Information Source Selection for Intrusion Detection Systems, detail

Rehák, M., Staab, E., Fusenig, V., Stiborek, J., Grill, M., Bartoš, K., Pěchouček, M., Engel, T. 2009 Threat-model-driven runtime adaptation and evaluation of intrusion detection system, detail

Rehák, M., Pěchouček, M., Grill, M., Stiborek, J., Bartoš, K., Čeleda, P. 2009 Adaptive Multi-Agent System for Network Traffic Monitoring, detail

Rehák, M., Staab, E., Fusenig, V., Pěchouček, M., Grill, M., Stiborek, J., Bartoš, K., Engel, T. 2009 Runtime Monitoring and Dynamic Reconfiguration for Intrusion Detection Systems, detail

Rehák, M., Pěchouček, M., Grill, M., Bartoš, K., Krmíček, V., Čeleda, P. 2009 Collaborative Approach to Network Behavior Analysis Based on Hardware-Accelerated FlowMon Probes, detail

Bartoš, K., Grill, M., Krmíček, V., Rehák, M., Čeleda, P. 2008 Flow Based Network Intrusion Detection System using Hardware-Accelerated NetFlow Probes, detail

Rehák, M., Pěchouček, M., Bartoš, K., Grill, M., Celeda, P., Krmicek, V. 2008 CAMNEP: An intrusion detection system for high speed networks, detail

Rehák, M., Pěchouček, M., Bartoš, K., Grill, M., Čeleda, P., Krmíček, V. 2008 Improving Anomaly Detection Error Rate by Collective Trust Modeling, detail

Rehák, M., Pěchouček, M., Grill, M., Bartoš, K. 2008 Trust Based Classifier Combination for Network Anomaly Detection, detail

Rehák, M., Pěchouček, M., Bartoš, K., Grill, M., Celeda, P. 2007 Network Intrusion Detection by Means of Community of Trusting Agents, detail

Jiřina, M. 1998 Initial Setting of Weights in the Kohonen Maps, detail

Rozinek, J. 1996 Predikce časových řad neuronovými sítěmi, detail