Milan Cermak
Milan Cermak
Institute of Computer Science, Masaryk University
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Cited by
Cited by
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
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
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
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
Toward Stream-Based IP Flow Analysis
T Jirsik, M Cermak, D Tovarnak, P Celeda
IEEE Communications Magazine 55 (7), 70-76, 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
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
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
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
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
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
GRANEF: Utilization of a Graph Database for Network Forensics
M Cermak, D Sramkova
18th International Conference on Security and Cryptography, SECRYPT 2021 …, 2021
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
On Information Value of Top N Statistics
T Jirsík, M Čermák, P Čeleda
Institute of Electrical and Electronic Engineers, 2016
Bezpečnostní analýza provozu DNS
M Čermák
Masarykova univerzita, 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
Stream-Based IP Flow Analysis
M Cermak, P Celeda
IFIP/IEEE International Symposium on Integrated Network Management, IM 2021, 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
Incident Investigation: From Packets to Graph-Based Analysis
M Cermak
Stream-Based IP Flow Analysis
M Cermak
Masaryk University, 2020
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