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Martin Rehák
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2010 – 2019
- 2018
- [j14]Jan Stiborek
, Tomás Pevný
Probabilistic analysis of dynamic malware traces. Comput. Secur. 74: 221-239 (2018) - [j13]Jan Stiborek
Multiple instance learning for malware classification. Expert Syst. Appl. 93: 346-357 (2018) - [j12]Özgür Kafali, Natalia Criado
Guest Editors' Introduction. ACM Trans. Internet Techn. 18(3): 26:1-26:4 (2018) - 2017
- [j11]Martin Grill
Reducing false positives of network anomaly detection by local adaptive multivariate smoothing. J. Comput. Syst. Sci. 83(1): 43-57 (2017) - [i1]Jan Stiborek, Tomás Pevný, Martin Rehák:
Multiple Instance Learning for Malware Classification. CoRR abs/1705.02268 (2017) - 2016
- [j10]Jose M. Such, Natalia Criado
Intelligent Cybersecurity Agents [Guest editors' introduction]. IEEE Intell. Syst. 31(5): 3-7 (2016) - [j9]Jan Jusko, Martin Rehák, Jan Stiborek
Using Behavioral Similarity for Botnet Command-and-Control Discovery. IEEE Intell. Syst. 31(5): 16-22 (2016) - [j8]D. De Motte, A. R. Grounds, Martin Rehák, A. Rodriguez Blanco
Experimental system design for the integration of trapped-ion and superconducting qubit systems. Quantum Inf. Process. 15(12): 5385-5414 (2016) - 2015
- [j7]Karel Bartos, Martin Rehák:
IFS: Intelligent flow sampling for network security-an adaptive approach. Int. J. Netw. Manag. 25(5): 263-282 (2015) - [c52]Martin Grill, Ivan Nikolaev, Veronica Valeros
Detecting DGA malware using NetFlow. IM 2015: 1304-1309 - 2014
- [j6]Jan Jusko, Martin Rehák:
Identifying peer-to-peer communities in the network by connection graph analysis. Int. J. Netw. Manag. 24(4): 235-252 (2014) - [j5]Jan Stiborek
Game Theoretical Model for Adaptive Intrusion Detection System. Trans. Comput. Collect. Intell. 15: 133-163 (2014) - [c51]Martin Grill, Martin Rehák:
Malware detection using HTTP user-agent discrepancy identification. WIFS 2014: 221-226 - 2013
- [c50]Tomás Pevný
Attacking the IDS learning processes. ICASSP 2013: 8687-8691 - 2012
- [c49]Karel Bartos, Martin Rehák:
Distributed Self-organized Collaboration of Autonomous IDS Sensors. AIMS 2012: 113-117 - [c48]Karel Bartos, Martin Rehák, Michal Svoboda:
Self-organized Collaboration of Distributed IDS Sensors. DIMVA 2012: 214-231 - [c47]Karel Bartos, Martin Rehák:
Trust-based Solution for Robust Self-configuration of Distributed Intrusion Detection Systems. ECAI 2012: 121-126 - [c46]Jan Jusko, Martin Rehák:
Identifying Skype nodes by NetFlow-based graph analysis. IWCMC 2012: 636-641 - [c45]Jan Stiborek
Game Theoretical Adaptation Model for Intrusion Detection System. PAAMS 2012: 201-210 - [c44]Jan Stiborek
Game Theoretical Adaptation Model for Intrusion Detection System - Demo Paper. PAAMS 2012: 291-294 - [c43]Karel Bartos, Martin Rehák:
Self-Organized Mechanism for Distributed Setup of Multiple Heterogeneous Intrusion Detection Systems. SASO Workshops 2012: 31-38 - [c42]Jan Jusko, Martin Rehák:
Revealing Cooperating Hosts by Connection Graph Analysis. SecureComm 2012: 241-255 - [c41]Jan Jusko, Martin Rehák:
Identifying Skype Nodes in the Network Exploiting Mutual Contacts. TMA 2012: 81-84 - [c40]Karel Bartos, Martin Rehák:
Towards Efficient Flow Sampling Technique for Anomaly Detection. TMA 2012: 93-106 - [c39]Tomás Pevný
Detecting anomalous network hosts by means of PCA. WIFS 2012: 103-108 - 2011
- [c38]Martin Rehák, Michal Pechoucek, Martin Grill, Jan Stiborek, Karel Bartos:
Game theoretical adaptation model for intrusion detection system. AAMAS 2011: 1123-1124 - [c37]Martin Rehák, Jan Stiborek
Intelligence, not integration: Distributed regret minimization for IDS Control. CICS 2011: 217-224 - [c36]Martin Rehák, Martin Grill, Jan Stiborek
On the Value of Coordination in Distributed Self-Adaptation of Intrusion Detection System. IAT 2011: 196-203 - [c35]Karel Bartos, Martin Rehák, Vojtech Krmicek:
Optimizing flow sampling for network anomaly detection. IWCMC 2011: 1304-1309
2000 – 2009
- 2009
- [j4]Martin Rehák, Michal Pechoucek, Martin Grill, Jan Stiborek
Adaptive Multiagent System for Network Traffic Monitoring. IEEE Intell. Syst. 24(3): 16-25 (2009) - [j3]Martin Rehák, Michal Pechoucek
Collaborative approach to network behaviour analysis based on hardware-accelerated FlowMon probes. Int. J. Electron. Secur. Digit. Forensics 2(1): 35-48 (2009) - [c34]Martin Rehák, Eugen Staab, Michal Pechoucek, Jan Stiborek, Martin Grill, Karel Bartos:
Dynamic information source selection for intrusion detection systems. AAMAS (2) 2009: 1009-1016 - [c33]Martin Rehák, Eugen Staab, Volker Fusenig, Jan Stiborek
Threat-model-driven runtime adaptation and evaluation of intrusion detection system. ICAC 2009: 65-66 - [c32]Martin Rehák, Eugen Staab, Volker Fusenig, Michal Pechoucek
Runtime Monitoring and Dynamic Reconfiguration for Intrusion Detection Systems. RAID 2009: 61-80 - 2008
- [c31]Martin Rehák, Michal Pechoucek, Pavel Celeda, Jiri Novotný, Pavel Minarík:
CAMNEP: agent-based network intrusion detection system. AAMAS (Industry Track) 2008: 133-136 - [c30]Martin Rehák, Michal Pechoucek, Pavel Celeda, Vojtech Krmicek, Martin Grill, Karel Bartos:
Multi-agent approach to network intrusion detection. AAMAS (Demos) 2008: 1695-1696 - [c29]Martin Rehák, Michal Pechoucek
Trust-Based Classifier Combination for Network Anomaly Detection. CIA 2008: 116-130 - [c28]Jan Doubek, Jirí Vokrínek, Michal Pechoucek
Incrementally Refined Acquaintance Model for Consortia Composition. CIA 2008: 280-291 - [c27]Martin Rehák, Michal Pechoucek
Improving Anomaly Detection Error Rate by Collective Trust Modeling. RAID 2008: 398-399 - 2007
- [j2]Michal Pechoucek
Agent-Based Approach to Mass-Oriented Production Planning: Case Study. IEEE Trans. Syst. Man Cybern. Part C 37(3): 386-395 (2007) - [c26]Martin Rehák, Michal Pechoucek
Agent-Based Network Protection Against Malicious Code. CEEMAS 2007: 22-31 - [c25]Martin Rehák, Michal Pechoucek
Collaborative Attack Detection in High-Speed Networks. CEEMAS 2007: 73-82 - [c24]Martin Rehák, Michal Pechoucek
High-Performance Agent System for Intrusion Detection in Backbone Networks. CIA 2007: 134-148 - [c23]Martin Rehák, Michal Pechoucek
Trust Modeling with Context Representation and Generalized Identities. CIA 2007: 298-312 - [c22]Jan Tozicka, Michal Pechoucek
Multi-agent Reflection in Autonomic Systems. HoloMAS 2007: 27-36 - [c21]Martin Rehák, Michal Pechoucek
Agent Methods for Network Intrusion Detection and Response. HoloMAS 2007: 149-160 - [c20]Eric Platon, Martin Rehák, Nicolas Sabouret, Michal Pechoucek, Shinichi Honiden:
Detecting Intrusions in Agent System by Means of Exception Handling. HoloMAS 2007: 161-172 - [c19]Michal Pechoucek
Incrementally Refined Acquaintance Model for Distributed Planning and Resource Allocation in Semi-trusted Environments. Web Intelligence/IAT Workshops 2007: 391-394 - [c18]Pavel Celeda
High-Speed Network Traffic Acquisition for Agent Systems. IAT 2007: 477-480 - [c17]Martin Rehák, Michal Pechoucek, Karel Bartos, Martin Grill, Pavel Celeda
Network Intrusion Detection by Means of Community of Trusting Agents. IAT 2007: 498-504 - [c16]Vojtech Krmicek, Pavel Celeda
Agent-Based Network Intrusion Detection System. IAT 2007: 528-531 - 2006
- [c15]Michal Pechoucek
Towards formal model of adversarial action in multi-agent systems. AAMAS 2006: 420-422 - [c14]David Sislák, Martin Rehák, Michal Pechoucek
Deployment of A-globe multi-agent platform. AAMAS 2006: 1447-1448 - [c13]Martin Rehák, Premysl Volf, Michal Pechoucek
Multilevel Approach to Agent-Based Task Allocation in Transportation. CIA 2006: 273-287 - [c12]Martin Rehák, Milos Gregor, Michal Pechoucek
Representing Context for Multiagent Trust Modeling. IAT 2006: 737-746 - 2005
- [j1]David Sislák, Michal Pechoucek
Solving inaccessibility in multi-agent systems by mobile middle-agents. Multiagent Grid Syst. 1(2): 73-87 (2005) - [c11]Michal Pechoucek, Martin Rehák, Vladimír Marík:
Expectations and deployment of agent technology in manufacturing and defence: case studies. AAMAS Industrial Applications 2005: 100-106 - [c10]Martin Rehák, Michal Pechoucek, Petr Benda:
Fuzzy number approach to trust in coalition environment. AAMAS 2005: 1247-1248 - [c9]Martin Rehák, Michal Pechoucek
Adversarial Behavior in Multi-agent Systems. CEEMAS 2005: 470-479 - [c8]Martin Rehák, Michal Pechoucek, Jan Tozicka:
Adversarial Behavior in Multi-Agent Systems. EUMAS 2005: 500-501 - [c7]Martin Rehák, Jan Tozicka, Michal Pechoucek
An Abstract Architecture for Computational Reflection in Multi-Agent Systems. IAT 2005: 128-131 - [c6]David Sislák, Martin Rehák, Michal Pechoucek
Optimizing Agents Operation in Partially Inaccessible and Disruptive Environment. IAT 2005: 140-143 - [c5]Martin Rehák, Lukás Foltýn, Michal Pechoucek
Trust Model for Open Ubiquitous Agent Systems. IAT 2005: 536-542 - [c4]David Sislák, Martin Rehák, Michal Pechoucek
A-globe: Multi-Agent Platform with Advanced Simulation and Visualization Support. Web Intelligence 2005: 805-806 - 2004
- [c3]Martin Rehák, Michal Pechoucek
Using Stand-in Agents in Partially Accessible Multi-agent Environment. ESAW 2004: 277-291 - [c2]Martin Rehák, Petr Charvát, Michal Pechoucek
Agent System Application in High-Volume Production Management. BASYS 2004: 193-200 - [c1]David Sislák, Michal Pechoucek
Simulating Agents' Mobility and Inaccessibility with A-globe Multi-agent System. MATES 2004: 258-272
Coauthor Index
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