A survey of methods for encrypted traffic classification and analysis P Velan, M Čermák, P Čeleda, M Drašar International Journal of Network Management 25 (5), 355-374, 2015 | 414 | 2015 |
HTTPS traffic analysis and client identification using passive SSL/TLS fingerprinting M Husák, M Čermák, T Jirsík, P Čeleda EURASIP Journal on Information Security 2016 (1), 6, 2016 | 154 | 2016 |
Enhancing Cybersecurity Skills by Creating Serious Games V Švábenský, J Vykopal, M Cermak, M Laštovička Proceedings of the 23rd Annual ACM Conference on Innovation and Technology …, 2018 | 92 | 2018 |
Network-based HTTPS Client Identification Using SSL/TLS Fingerprinting M Husak, M Cermak, T Jirsik, P Celeda Availability, Reliability and Security (ARES), 2015 10th International …, 2015 | 62 | 2015 |
Toward Stream-Based IP Flow Analysis T Jirsik, M Cermak, D Tovarnak, P Celeda IEEE Communications Magazine 55 (7), 70-76, 2017 | 44 | 2017 |
A performance benchmark for NetFlow data analysis on distributed stream processing systems M Čermák, D Tovarňák, M Laštovička, P Čeleda NOMS 2016-2016 IEEE/IFIP Network Operations and Management Symposium, 919-924, 2016 | 37 | 2016 |
Exchanging security events: Which and how many alerts can we aggregate? M Husák, M Čermák, M Laštovička, J Vykopal 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM …, 2017 | 24 | 2017 |
Towards Provable Network Traffic Measurement and Analysis via Semi-Labeled Trace Datasets M Cermak, T Jirsik, P Velan, J Komarkova, S Spacek, M Drasar, T Plesnik 2018 Network Traffic Measurement and Analysis Conference (TMA), 1-8, 2018 | 22 | 2018 |
Real-time analysis of NetFlow data for generating network traffic statistics using Apache Spark M Čermák, T Jirsík, M Laštovička Network Operations and Management Symposium (NOMS), 2016 IEEE/IFIP, 1019-1020, 2016 | 20 | 2016 |
Detection of DNS traffic anomalies in large networks M Čermák, P Čeleda, J Vykopal Advances in Communication Networking: 20th EUNICE/IFIP EG 6.2, 6.6 …, 2014 | 15 | 2014 |
GRANEF: Utilization of a Graph Database for Network Forensics M Cermak, D Sramkova 18th International Conference on Security and Cryptography, SECRYPT 2021 …, 2021 | 11 | 2021 |
A graph-based representation of relations in network security alert sharing platforms M Husák, M Čermák Integrated Network and Service Management (IM), 2017 IFIP/IEEE Symposium on …, 2017 | 10 | 2017 |
Real-time Pattern Detection in IP Flow Data using Apache Spark M Cermak, M Laštovička, T Jirsik 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM …, 2019 | 5 | 2019 |
On Information Value of Top N Statistics T Jirsík, M Čermák, P Čeleda Institute of Electrical and Electronic Engineers, 2016 | 3 | 2016 |
Bezpečnostní analýza provozu DNS M Čermák Masarykova univerzita, 2014 | 3 | 2014 |
Detecting Advanced Network Threats Using a Similarity Search M Čermák, P Čeleda Management and Security in the Age of Hyperconnectivity: 10th IFIP WG 6.6 …, 2016 | 2 | 2016 |
Stream-Based IP Flow Analysis M Cermak, P Celeda IFIP/IEEE International Symposium on Integrated Network Management, IM 2021, 2021 | 1 | 2021 |
Using relational graphs for exploratory analysis of network traffic data M Cermak, T Fritzová, V Rusňák, D Sramkova Forensic Science International: Digital Investigation 45, 301563, 2023 | | 2023 |
Incident Investigation: From Packets to Graph-Based Analysis M Cermak | | 2022 |
Stream-Based IP Flow Analysis M Cermak Masaryk University, 2020 | | 2020 |