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Karel Bartoš
Karel Bartoš
Researcher at Resistant.AI
Bestätigte E-Mail-Adresse bei bulletproof.ai
Titel
Zitiert von
Zitiert von
Jahr
Optimized Invariant Representation of Network Traffic for Detecting Unseen Malware Variants
K Bartos, M Sofka, V Franc
25th USENIX Security Symposium (USENIX Security 16), 807-822, 2016
1092016
Adaptive multiagent system for network traffic monitoring
M Rehak, M Pechoucek, M Grill, J Stiborek, K Bartos, P Celeda
IEEE Intelligent Systems, 16-25, 2009
762009
Identifying threats based on hierarchical classification
K Bartos, M Sofka
US Patent 9,462,008, 2016
642016
Runtime monitoring and dynamic reconfiguration for intrusion detection systems
M Rehak, E Staab, V Fusenig, M Pechoucek, M Grill, J Stiborek, K Bartos, ...
Recent Advances in Intrusion Detection, 61-80, 2009
412009
Learning detector of malicious network traffic from weak labels
V Franc, M Sofka, K Bartos
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
282015
CAMNEP: An intrusion detection system for high-speed networks
M Rehak, M Pechoucek, K Bartos, M Grill, P Celeda, V Krmicek
Progress in Informatics, 65-74, 0
25*
Dynamic information source selection for intrusion detection systems
M Rehak, E Staab, M Pechoucek, J Stiborek, M Grill, K Bartos
Proceedings of The 8th International Conference on Autonomous Agents and …, 2009
222009
Towards efficient flow sampling technique for anomaly detection
K Bartos, M Rehak
International Workshop on Traffic Monitoring and Analysis, 93-106, 2012
212012
Optimizing flow sampling for network anomaly detection
K Bartos, M Rehak, V Krmicek
2011 7th international wireless communications and mobile computing …, 2011
212011
Trust-based classifier combination for network anomaly detection
M Rehak, M Pechoucek, M Grill, K Bartos
Cooperative Information Agents XII, 116-130, 2008
19*2008
Robust representation for domain adaptation in network security
K Bartos, M Sofka
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
182015
Method and apparatus for aggregating indicators of compromise for use in network security
K Bartos, M Sofka, V Franc, J Havelka
US Patent 9,985,982, 2018
172018
Identifying malware communications with DGA generated domains by discriminative learning
M Sofka, L Machlica, K Bartos, D McGrew
US Patent 9,781,139, 2017
172017
Multi-agent approach to network intrusion detection
M Rehak, M Pechoucek, P Celeda, V Krmicek, M Grill, K Bartos
Proceedings of the 7th international joint conference on Autonomous agents …, 2008
172008
Network intrusion detection by means of community of trusting agents
M Rehak, M Pechoucek, K Bartos, M Grill, P Celeda
2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology …, 2007
172007
Learning detector of malicious network traffic from weak labels
V Franc, M Sofka, K Bartos
US Patent 9,923,912, 2018
152018
Learning detectors of malicious web requests for intrusion detection in network traffic
L Machlica, K Bartos, M Sofka
arXiv preprint arXiv:1702.02530, 2017
142017
Global clustering of incidents based on malware similarity and online trustfulness
K Bartos, M Rehak, M Sofka
US Patent 9,432,393, 2016
132016
IFS: Intelligent flow sampling for network security–an adaptive approach
K Bartos, M Rehak
International Journal of Network Management 25 (5), 263-282, 2015
112015
Flow Based Network Intrusion Detection System using Hardware-Accelerated NetFlow Probes
K Bartos, M Grill, V Krmicek, M Rehak, P Celeda
CESNET Conference, 49-56, 2008
102008
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