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Pavel Celeda
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- affiliation: Masaryk University, Brno, Czech Republic
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2020 – today
- 2024
- [j17]Valdemar Svábenský
, Jan Vykopal
Automated feedback for participants of hands-on cybersecurity training. Educ. Inf. Technol. 29(9): 11555-11584 (2024) - [c67]Ádám Ruman
Adversary Tactic Driven Scenario and Terrain Generation with Partial Infrastructure Specification. ARES 2024: 33:1-33:11 - [c66]Valdemar Svábenský
From Paper to Platform: Evolution of a Novel Learning Environment for Tabletop Exercises. ITiCSE (1) 2024 - [c65]Jan Vykopal
Research and Practice of Delivering Tabletop Exercises. ITiCSE (1) 2024 - [c64]Lukás Sadlek, Martin Husák, Pavel Celeda:
Identification of Device Dependencies Using Link Prediction. NOMS 2024: 1-10 - [i20]Jan Vykopal, Pavel Celeda, Valdemar Svábenský, Martin Hofbauer, Martin Horák:
Research and Practice of Delivering Tabletop Exercises. CoRR abs/2404.10206 (2024) - [i19]Valdemar Svábenský, Jan Vykopal, Martin Horák, Martin Hofbauer, Pavel Celeda:
From Paper to Platform: Evolution of a Novel Learning Environment for Tabletop Exercises. CoRR abs/2404.10988 (2024) - [i18]Lukás Sadlek, Martin Husák, Pavel Celeda:
Identification of Device Dependencies Using Link Prediction. CoRR abs/2407.03019 (2024) - [i17]Valdemar Svábenský, Kristián Tkácik, Aubrey Birdwell, Richard Weiss, Ryan S. Baker, Pavel Celeda, Jan Vykopal, Jens Mache, Ankur Chattopadhyay:
Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning Environments. CoRR abs/2408.08531 (2024) - 2023
- [j16]Martin Lastovicka
Passive operating system fingerprinting revisited: Evaluation and current challenges. Comput. Networks 229: 109782 (2023) - [j15]Razvan Beuran
Capability Assessment Methodology and Comparative Analysis of Cybersecurity Training Platforms. Comput. Secur. 128: 103120 (2023) - [j14]Jan Vykopal, Pavel Seda, Valdemar Svábenský, Pavel Celeda:
Smart Environment for Adaptive Learning of Cybersecurity Skills. IEEE Trans. Learn. Technol. 16(3): 443-456 (2023) - [c63]Martin Drasar
The Road Towards Autonomous Cybersecurity Agents: Remedies for Simulation Environments. ESORICS Workshops (2) 2023: 738-749 - [c62]Lydia Kraus
Want to Raise Cybersecurity Awareness? Start with Future IT Professionals. ITiCSE (1) 2023: 236-242 - [c61]Lukás Sadlek
Cyber Key Terrain Identification Using Adjusted PageRank Centrality. SEC 2023: 293-306 - [i16]Lukás Sadlek, Pavel Celeda:
Cyber Key Terrain Identification Using Adjusted PageRank Centrality. CoRR abs/2306.11018 (2023) - [i15]Jan Vykopal, Pavel Seda, Valdemar Svábenský, Pavel Celeda:
Smart Environment for Adaptive Learning of Cybersecurity Skills. CoRR abs/2307.05281 (2023) - [i14]Lydia Kraus, Valdemar Svábenský, Martin Horák, Vashek Matyás, Jan Vykopal, Pavel Celeda:
Want to Raise Cybersecurity Awareness? Start with Future IT Professionals. CoRR abs/2307.07608 (2023) - [i13]Valdemar Svábenský, Jan Vykopal, Pavel Celeda, Lydia Kraus:
Applications of Educational Data Mining and Learning Analytics on Data From Cybersecurity Training. CoRR abs/2307.08582 (2023) - [i12]Valdemar Svábenský, Jan Vykopal, Pavel Celeda, Kristián Tkácik, Daniel Popovic:
Student Assessment in Cybersecurity Training Automated by Pattern Mining and Clustering. CoRR abs/2307.10260 (2023) - 2022
- [j13]Valdemar Svábenský
Student assessment in cybersecurity training automated by pattern mining and clustering. Educ. Inf. Technol. 27(7): 9231-9262 (2022) - [j12]Valdemar Svábenský
Applications of educational data mining and learning analytics on data from cybersecurity training. Educ. Inf. Technol. 27(9): 12179-12212 (2022) - [c60]Lukás Sadlek, Pavel Celeda
Current Challenges of Cyber Threat and Vulnerability Identification Using Public Enumerations. ARES 2022: 91:1-91:8 - [c59]Pavel Seda, Jan Vykopal, Pavel Celeda, Igor Ignác:
Designing Adaptive Cybersecurity Hands-on Training. FIE 2022: 1-8 - [c58]Lukás Sadlek, Pavel Celeda
Identification of Attack Paths Using Kill Chain and Attack Graphs. NOMS 2022: 1-6 - [c57]Stanislav Spacek, Petr Velan, Pavel Celeda
HTTPS Event-Flow Correlation: Improving Situational Awareness in Encrypted Web Traffic. NOMS 2022: 1-7 - [c56]Jan Vykopal, Valdemar Svábenský
Preventing Cheating in Hands-on Lab Assignments. SIGCSE (1) 2022: 78-84 - [c55]Valdemar Svábenský
Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises. SIGCSE (1) 2022: 787-793 - [i11]Jan Vykopal, Valdemar Svábenský, Pavel Seda, Pavel Celeda:
Preventing Cheating in Hands-on Lab Assignments. CoRR abs/2201.01154 (2022) - [i10]Pavel Seda, Jan Vykopal, Valdemar Svábenský, Pavel Celeda:
Reinforcing Cybersecurity Hands-on Training With Adaptive Learning. CoRR abs/2201.01574 (2022) - [i9]Lukás Sadlek, Pavel Celeda
Identification of Attack Paths Using Kill Chain and Attack Graphs. CoRR abs/2206.10272 (2022) - [i8]Stanislav Spacek, Petr Velan, Pavel Celeda
HTTPS Event-Flow Correlation: Improving Situational Awareness in Encrypted Web Traffic. CoRR abs/2206.11175 (2022) - [i7]Lukás Sadlek, Pavel Celeda
Current Challenges of Cyber Threat and Vulnerability Identification Using Public Enumerations. CoRR abs/2206.14539 (2022) - 2021
- [j11]Valdemar Svábenský
Cybersecurity knowledge and skills taught in capture the flag challenges. Comput. Secur. 102: 102154 (2021) - [c54]Pavel Seda, Jan Vykopal, Valdemar Svábenský
Reinforcing Cybersecurity Hands-on Training With Adaptive Learning. FIE 2021: 1-9 - [c53]Valdemar Svábenský
Toolset for Collecting Shell Commands and Its Application in Hands-on Cybersecurity Training. FIE 2021: 1-9 - [c52]Jan Vykopal, Pavel Celeda, Pavel Seda, Valdemar Svábenský
Scalable Learning Environments for Teaching Cybersecurity Hands-on. FIE 2021: 1-9 - [c51]Milan Cermák, Pavel Celeda:
Stream-Based IP Flow Analysis. IM 2021: 736-741 - [c50]Daniel Tovarnák, Lukás Sadlek, Pavel Celeda:
Graph-Based CPE Matching for Identification of Vulnerable Asset Configurations. IM 2021: 986-991 - [c49]Stanislav Spacek, Daniel Tovarnák, Pavel Celeda
Enriching DNS Flows with Host-Based Events to Bypass Future Protocol Encryption. SEC 2021: 302-316 - [i6]Valdemar Svábenský, Pavel Celeda, Jan Vykopal, Silvia Brisáková:
Cybersecurity Knowledge and Skills Taught in Capture the Flag Challenges. CoRR abs/2101.01421 (2021) - [i5]Jan Vykopal, Pavel Celeda, Pavel Seda, Valdemar Svábenský, Daniel Tovarnák:
Scalable Learning Environments for Teaching Cybersecurity Hands-on. CoRR abs/2110.10004 (2021) - [i4]Valdemar Svábenský, Richard Weiss, Jack Cook, Jan Vykopal, Pavel Celeda, Jens Mache, Radoslav Chudovský, Ankur Chattopadhyay:
Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises. CoRR abs/2112.02053 (2021) - [i3]Valdemar Svábenský, Jan Vykopal, Daniel Tovarnák, Pavel Celeda:
Toolset for Collecting Shell Commands and Its Application in Hands-on Cybersecurity Training. CoRR abs/2112.11118 (2021) - 2020
- [j10]Martin Husák
Predictive Cyber Situational Awareness and Personalized Blacklisting: A Sequential Rule Mining Approach. ACM Trans. Manag. Inf. Syst. 11(4): 19:1-19:16 (2020) - [c48]Martin Husák, Pavel Celeda
Predictions of Network Attacks in Collaborative Environment. NOMS 2020: 1-6 - [c47]Tomás Jirsík, Pavel Celeda
Cyber Situation Awareness via IP Flow Monitoring. NOMS 2020: 1-6 - [c46]Martin Lastovicka, Stanislav Spacek, Petr Velan, Pavel Celeda
Using TLS Fingerprints for OS Identification in Encrypted Traffic. NOMS 2020: 1-6 - [c45]Valdemar Svábenský
What Are Cybersecurity Education Papers About?: A Systematic Literature Review of SIGCSE and ITiCSE Conferences. SIGCSE 2020: 2-8 - [c44]Pavel Celeda
KYPO4INDUSTRY: A Testbed for Teaching Cybersecurity of Industrial Control Systems. SIGCSE 2020: 1026-1032 - [i2]Pavel Celeda, Jan Vykopal, Valdemar Svábenský, Karel Slávicek:
KYPO4INDUSTRY: A Testbed for Teaching Cybersecurity of Industrial Control Systems. CoRR abs/2004.11575 (2020)
2010 – 2019
- 2019
- [j9]Martin Husák
Survey of Attack Projection, Prediction, and Forecasting in Cyber Security. IEEE Commun. Surv. Tutorials 21(1): 640-660 (2019) - [c43]Tomás Jirsík, Stepan Trcka, Pavel Celeda:
Quality of Service Forecasting with LSTM Neural Networks. IM 2019: 251-260 - [c42]Pavel Celeda, Petr Velan, Benjamin Kral, Ondrej Kozak:
Enabling SSH Protocol Visibility in Flow Monitoring. IM 2019: 569-574 - [c41]Petr Velan, Pavel Celeda:
Application-Aware Flow Monitoring. IM 2019: 701-706 - [c40]Valdemar Svábenský, Jan Vykopal, Pavel Celeda:
Towards Learning Analytics in Cybersecurity Capture the Flag Games. SIGCSE 2019: 1255 - [i1]Valdemar Svábenský, Jan Vykopal, Pavel Celeda:
What Are Cybersecurity Education Papers About? A Systematic Literature Review of SIGCSE and ITiCSE Conferences. CoRR abs/1911.11675 (2019) - 2018
- [c39]Martin Husák
Assessing Internet-wide Cyber Situational Awareness of Critical Sectors. ARES 2018: 29:1-29:6 - [c38]Stanislav Spacek, Pavel Celeda:
Threat Detection Through Correlation ofNetwork Flows and Logs. AIMS 2018: 6-10 - [c37]Nataliia Neshenko
Data-Driven Intelligence for Characterizing Internet-Scale IoT Exploitations. GLOBECOM Workshops 2018: 1-7 - [c36]Tomás Jirsík
Toward real-time network-wide cyber situational awareness. NOMS 2018: 1-7 - [c35]Martin Lastovicka
Passive os fingerprinting methods in the jungle of wireless networks. NOMS 2018: 1-9 - 2017
- [j8]Tomás Jirsík
Toward Stream-Based IP Flow Analysis. IEEE Commun. Mag. 55(7): 70-76 (2017) - [c34]Martin Husák
On the Sequential Pattern and Rule Mining in the Analysis of Cyber Security Alerts. ARES 2017: 22:1-22:10 - [c33]Martin Lastovicka
Situational Awareness: Detecting Critical Dependencies and Devices in a Network. AIMS 2017: 173-178 - [c32]Jan Vykopal
Lessons learned from complex hands-on defence exercises in a cyber range. FIE 2017: 1-8 - [c31]Jan Vykopal, Radek Oslejsek, Pavel Celeda, Martin Vizváry, Daniel Tovarnák:
KYPO Cyber Range: Design and Use Cases. ICSOFT 2017: 310-321 - [c30]Jana Medková, Martin Husák
Honeypot testbed for network defence strategy evaluation. IM 2017: 887-888 - 2016
- [j7]Martin Husák
HTTPS traffic analysis and client identification using passive SSL/TLS fingerprinting. EURASIP J. Inf. Secur. 2016: 6 (2016) - [c29]Jana Medková, Pavel Celeda
Network Defence Using Attacker-Defender Interaction Modelling. AIMS 2016: 127-131 - [c28]Milan Cermák
Detecting Advanced Network Threats Using a Similarity Search. AIMS 2016: 137-141 - [c27]Abdesselem Kortebi, Olivier Bouchet, Anil Mengi, Helmut Lucht, Marcin Brzozowski, Oliver Maye, Pavel Celeda
Convergent and reliable hybrid home networks. DRCN 2016: 112-114 - [c26]Tomás Jirsík
On Information Value of Top N Statistics. ICITCS 2016: 1-5 - [c25]Petr Velan
Network traffic characterisation using flow-based statistics. NOMS 2016: 907-912 - [c24]Milan Cermák
A performance benchmark for NetFlow data analysis on distributed stream processing systems. NOMS 2016: 919-924 - 2015
- [j6]Petr Velan
A survey of methods for encrypted traffic classification and analysis. Int. J. Netw. Manag. 25(5): 355-374 (2015) - [j5]Anna Sperotto
Report on the 8th International Conference on Autonomous Infrastructure, Management, and Security (AIMS 2014) - Monitoring and Securing Virtualized Networks and Services. J. Netw. Syst. Manag. 23(3): 794-802 (2015) - [c23]Martin Husák
Network-Based HTTPS Client Identification Using SSL/TLS Fingerprinting. ARES 2015: 389-396 - 2014
- [j4]Rick Hofstede, Pavel Celeda
Flow Monitoring Explained: From Packet Capture to Data Analysis With NetFlow and IPFIX. IEEE Commun. Surv. Tutorials 16(4): 2037-2064 (2014) - [j3]Guillaume Doyen, Martin Waldburger, Anna Sperotto
Report on the 7th International Conference on Autonomous Infrastructure, Management, and Security (AIMS 2013): Emerging Management Mechanisms for the Future Internet. J. Netw. Syst. Manag. 22(2): 289-296 (2014) - [c22]Tomás Jirsík
Enhancing Network Security: Host Trustworthiness Estimation. AIMS 2014: 63-68 - [c21]Petr Velan
Next Generation Application-Aware Flow Monitoring. AIMS 2014: 173-178 - [c20]Tomás Jirsík
Identifying Operating System Using Flow-Based Traffic Fingerprinting. EUNICE 2014: 70-73 - [c19]Milan Cermák
Detection of DNS Traffic Anomalies in Large Networks. EUNICE 2014: 215-226 - [c18]Olivier Bouchet, Jean-Philippe Javaudin, Abdesselem Kortebi, Hanane El Adbellaouy, Marcin Brzozowski, Dimitris Katsianis
ACEMIND: The Smart Integrated Home Network. Intelligent Environments 2014: 1-8 - [c17]Tomás Jirsík
Cloud-based security research testbed: A DDoS use case. NOMS 2014: 1-2 - 2013
- [c16]Petr Velan
Design and Evaluation of HTTP Protocol Parsers for IPFIX Measurement. EUNICE 2013: 136-147 - [c15]Pavel Celeda, Petr Velan, Martin Rabek, Rick Hofstede, Aiko Pras:
Large-scale geolocation for NetFlow. IM 2013: 1015-1020 - [c14]Martin Elich, Petr Velan, Tomás Jirsík
An investigation into teredo and 6to4 transition mechanisms: Traffic analysis. LCN Workshops 2013: 1018-1024 - [e2]Guillaume Doyen, Martin Waldburger, Pavel Celeda
Emerging Management Mechanisms for the Future Internet - 7th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2013, Barcelona, Spain, June 25-28, 2013. Proceedings. Lecture Notes in Computer Science 7943, Springer 2013, ISBN 978-3-642-38997-9 [contents] - 2012
- [c13]Radek Krejcí, Pavel Celeda
Traffic Measurement and Analysis of Building Automation and Control Networks. AIMS 2012: 62-73 - [c12]Pavel Celeda
Revealing and analysing modem malware. ICC 2012: 971-975 - [c11]Pavel Celeda
Flow-Based Security Issue Detection in Building Automation and Control Networks. EUNICE 2012: 64-75 - [e1]Ramin Sadre, Jiri Novotný, Pavel Celeda, Martin Waldburger, Burkhard Stiller:
Dependable Networks and Services - 6th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2012, Luxembourg, Luxembourg, June 4-8, 2012. Proceedings. Lecture Notes in Computer Science 7279, Springer 2012, ISBN 978-3-642-30632-7 [contents] - 2011
- [c10]Martin Elich, Matej Grégr, Pavel Celeda
Monitoring of Tunneled IPv6 Traffic Using Packet Decapsulation and IPFIX (Short Paper). TMA 2011: 64-71 - 2010
- [c9]Martin Drasar
Aspect-Based Attack Detection in Large-Scale Networks. RAID 2010: 488-489
2000 – 2009
- 2009
- [j2]Martin Rehák, Michal Pechoucek, Martin Grill, Jan Stiborek
Adaptive Multiagent System for Network Traffic Monitoring. IEEE Intell. Syst. 24(3): 16-25 (2009) - [j1]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) - 2008
- [c8]Martin Rehák, Michal Pechoucek, Pavel Celeda, Jiri Novotný, Pavel Minarík:
CAMNEP: agent-based network intrusion detection system. AAMAS (Industry Track) 2008: 133-136 - [c7]Martin Rehák, Michal Pechoucek, Pavel Celeda, Vojtech Krmicek, Martin Grill, Karel Bartos:
Multi-agent approach to network intrusion detection. AAMAS (Demos) 2008: 1695-1696 - [c6]Martin Rehák, Michal Pechoucek
Improving Anomaly Detection Error Rate by Collective Trust Modeling. RAID 2008: 398-399 - 2007
- [c5]Martin Rehák, Michal Pechoucek
Collaborative Attack Detection in High-Speed Networks. CEEMAS 2007: 73-82 - [c4]Martin Rehák, Michal Pechoucek
High-Performance Agent System for Intrusion Detection in Backbone Networks. CIA 2007: 134-148 - [c3]Pavel Celeda
High-Speed Network Traffic Acquisition for Agent Systems. IAT 2007: 477-480 - [c2]Martin Rehák, Michal Pechoucek, Karel Bartos, Martin Grill, Pavel Celeda
Network Intrusion Detection by Means of Community of Trusting Agents. IAT 2007: 498-504 - [c1]Vojtech Krmicek, Pavel Celeda
Agent-Based Network Intrusion Detection System. IAT 2007: 528-531
Coauthor Index
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last updated on 2024-09-25 00:46 CEST by the dblp team
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