Karel Bartos

发表

Threat-model-driven runtime adaptation and evaluation of intrusion detection system

Thomas Engel, Michal Pechoucek, Martin Rehák, 2009, ICAC '09.

Collaborative approach to network behaviour analysis based on hardware-accelerated FlowMon probes

Michal Pechoucek, Martin Rehák, Martin Grill, 2009, Int. J. Electron. Secur. Digit. Forensics.

Improving Anomaly Detection Error Rate by Collective Trust Modeling

Michal Pechoucek, Martin Rehák, Martin Grill, 2008, RAID.

Game Theoretical Model for Adaptive Intrusion Detection System

Martin Rehák, Jan Stiborek, Martin Grill, 2014, Trans. Comput. Collect. Intell..

Robust Representation for Domain Adaptation in Network Security

Karel Bartos, Michal Sofka, 2015, ECML/PKDD.

Collaborative Approach to Network Behavior Analysis

Martin Rehak, Martin Grill, Karel Bartos, 2008 .

Game Theoretical Adaptation Model for Intrusion Detection System - Demo Paper

Martin Rehák, Jan Stiborek, Martin Grill, 2012, PAAMS.

Method and apparatus for aggregating indicators of compromise for use in network security

Karel Bartos, Vojtech Franc, Michal Sofka, 2015 .

Towards Efficient Flow Sampling Technique for Anomaly Detection

Martin Rehák, Karel Bartos, M. Rehák, 2012, TMA.

Projekt CAMNEP - systém detekce průniku ve vysokorychlostníchpočítačových sítích

Pavel Čeleda, Karel Bartos, Pavel Minařík, 2009 .

Network Intrusion Detection by Means of Community of Trusting Agents

Michal Pechoucek, Martin Rehák, Martin Grill, 2007, ACM International Conference on International Agent Technology.

Learning Invariant Representation for Malicious Network Traffic Detection

Karel Bartos, Vojtech Franc, Michal Sofka, 2016, ECAI.

Runtime Monitoring and Dynamic Reconfiguration for Intrusion Detection Systems

Thomas Engel, Michal Pechoucek, Martin Rehák, 2009, RAID.

IFS: Intelligent flow sampling for network security-an adaptive approach

Martin Rehák, Karel Bartos, 2015, Int. J. Netw. Manag..

Game Theoretical Adaptation Model for Intrusion Detection System

Martin Rehák, Jan Stiborek, Karel Bartos, 2012, PAAMS.

Flow Based Security Awareness Framework for High-Speed Networks

Martin Rehak, Karel Bartos, Vojtěch Krmíček, 2009 .

Self-Organized Mechanism for Distributed Setup of Multiple Heterogeneous Intrusion Detection Systems

Martin Rehák, Karel Bartos, M. Rehák, 2012, 2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems Workshops.

Self-organized Collaboration of Distributed IDS Sensors

Martin Rehák, Karel Bartos, Michal Svoboda, 2012, DIMVA.

Adaptive Multiagent System for Network Traffic Monitoring

Michal Pechoucek, Martin Rehák, Jan Stiborek, 2009, IEEE Intelligent Systems.

Trust-Based Classifier Combination for Network Anomaly Detection

Michal Pechoucek, Martin Rehák, Martin Grill, 2008, CIA.

CAMNEP: An intrusion detection system for high-speed networks

Martin Rehak, Pavel Čeleda, Martin Grill, 2008 .

Optimized Invariant Representation of Network Traffic for Detecting Unseen Malware Variants

Karel Bartos, Vojtech Franc, Michal Sofka, 2016, USENIX Security Symposium.

Learning detectors of malicious web requests for intrusion detection in network traffic pdf

Karel Bartos, Lukás Machlica, Michal Sofka, 2017, ArXiv.

Flow Based Network Intrusion Detection System usingHardware-Accelerated NetFlow Probes

Martin Rehak, Pavel Čeleda, Martin Grill, 2008 .

Distributed Self-organized Collaboration of Autonomous IDS Sensors

Martin Rehák, Karel Bartos, 2012, AIMS.

Dynamic information source selection for intrusion detection systems

Michal Pechoucek, Martin Rehák, Eugen Staab, 2009, AAMAS.

Multi-agent approach to network intrusion detection

Michal Pechoucek, Martin Rehák, Martin Grill, 2008, AAMAS.

Game Theoretic, Multi-agent Approach to Network Traffic Monitoring

Michal Pechoucek, Jan Stiborek, Martin Grill, 2012 .

Optimizing flow sampling for network anomaly detection

Martin Rehák, Karel Bartos, Vojtech Krmicek, 2011, 2011 7th International Wireless Communications and Mobile Computing Conference.

Multi-Agent Approach to Network Intrusion Detection (DemoPaper)

Martin Rehak, Pavel Čeleda, Martin Grill, 2008 .

Learning data discretization via convex optimization

Karel Bartos, Vojtech Franc, Michal Sofka, 2018, Machine Learning.

Trust-based Solution for Robust Self-configuration of Distributed Intrusion Detection Systems

Martin Rehák, Karel Bartos, 2012, ECAI.

Learning Detector of Malicious Network Traffic from Weak Labels

Karel Bartos, Vojtech Franc, Michal Sofka, 2015, ECML/PKDD.