| 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 | 183 | 2016 |
| Identifying threats based on hierarchical classification K Bartos, M Sofka US Patent 9,462,008, 2016 | 108 | 2016 |
| 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 | 81 | 2009 |
| 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 | 49 | 2018 |
| 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 | 43 | 2009 |
| Learning detector of malicious network traffic from weak labels V Franc, M Sofka, K Bartos US Patent 9,923,912, 2018 | 34 | 2018 |
| Learning detector of malicious network traffic from weak labels V Franc, M Sofka, K Bartos Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 34 | 2015 |
| Optimizing flow sampling for network anomaly detection K Bartos, M Rehak, V Krmicek 2011 7th international wireless communications and mobile computing …, 2011 | 30 | 2011 |
| 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 | 29* | |
| Protecting endpoints with patterns from encrypted traffic analytics M Vejman, K Bartos, V Zlamal US Patent App. 16/251,322, 2020 | 27 | 2020 |
| Global clustering of incidents based on malware similarity and online trustfulness K Bartos, M Rehak, M Sofka US Patent 9,432,393, 2016 | 27 | 2016 |
| Identifying malware communications with DGA generated domains by discriminative learning M Sofka, L Machlica, K Bartos, D McGrew US Patent 9,781,139, 2017 | 25 | 2017 |
| Towards efficient flow sampling technique for anomaly detection K Bartos, M Rehak Traffic Monitoring and Analysis: 4th International Workshop, TMA 2012 …, 2012 | 24 | 2012 |
| 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 | 24 | 2009 |
| Refined learning data representation for classifiers V Franc, K Bartos, M Sofka US Patent 10,504,038, 2019 | 22 | 2019 |
| Using repetitive behavioral patterns to detect malware K Bartos, J Havelka, M Neznal US Patent 10,616,267, 2020 | 21 | 2020 |
| Learning detectors of malicious web requests for intrusion detection in network traffic L Machlica, K Bartos, M Sofka arXiv preprint arXiv:1702.02530, 2017 | 21 | 2017 |
| Robust representation for domain adaptation in network security K Bartos, M Sofka Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 21 | 2015 |
| Trust-based classifier combination for network anomaly detection M Rehak, M Pechoucek, M Grill, K Bartos Cooperative Information Agents XII, 116-130, 2008 | 21 | 2008 |
| 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 | 20 | 2008 |
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