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Milan Cermák
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2020 – today
- 2022
- [c14]Martin Husák, Milan Cermák:
SoK: Applications and Challenges of using Recommender Systems in Cybersecurity Incident Handling and Response. ARES 2022: 25:1-25:10 - 2021
- [c13]Milan Cermák, Pavel Celeda:
Stream-Based IP Flow Analysis. IM 2021: 736-741 - [c12]Milan Cermák, Denisa Sramkova:
GRANEF: Utilization of a Graph Database for Network Forensics. SECRYPT 2021: 785-790
2010 – 2019
- 2019
- [c11]Milan Cermák, Martin Lastovicka, Tomás Jirsík:
Real-time Pattern Detection in IP Flow Data using Apache Spark. IM 2019: 521-526 - 2018
- [c10]Valdemar Svábenský, Jan Vykopal, Milan Cermák, Martin Lastovicka:
Enhancing cybersecurity skills by creating serious games. ITiCSE 2018: 194-199 - [c9]Milan Cermák, Tomás Jirsík, Petr Velan, Jana Komárková, Stanislav Spacek, Martin Drasar, Tomas Plesnik:
Towards Provable Network Traffic Measurement and Analysis via Semi-Labeled Trace Datasets. TMA 2018: 1-8 - [i1]Valdemar Svábenský, Jan Vykopal, Milan Cermák, Martin Lastovicka:
Enhancing Cybersecurity Skills by Creating Serious Games. CoRR abs/1804.03567 (2018) - 2017
- [j3]Tomás Jirsík, Milan Cermák, Daniel Tovarnák, Pavel Celeda:
Toward Stream-Based IP Flow Analysis. IEEE Commun. Mag. 55(7): 70-76 (2017) - [c8]Martin Husák, Milan Cermák, Martin Lastovicka, Jan Vykopal:
Exchanging security events: Which and how many alerts can we aggregate? IM 2017: 604-607 - [c7]Martin Husák, Milan Cermák:
A graph-based representation of relations in network security alert sharing platforms. IM 2017: 891-892 - 2016
- [j2]Martin Husák, Milan Cermák, Tomás Jirsík, Pavel Celeda:
HTTPS traffic analysis and client identification using passive SSL/TLS fingerprinting. EURASIP J. Inf. Secur. 2016: 6 (2016) - [c6]Milan Cermák, Pavel Celeda:
Detecting Advanced Network Threats Using a Similarity Search. AIMS 2016: 137-141 - [c5]Tomás Jirsík, Milan Cermák, Pavel Celeda:
On Information Value of Top N Statistics. ICITCS 2016: 1-5 - [c4]Milan Cermák, Daniel Tovarnák, Martin Lastovicka, Pavel Celeda:
A performance benchmark for NetFlow data analysis on distributed stream processing systems. NOMS 2016: 919-924 - [c3]Milan Cermák, Tomás Jirsík, Martin Lastovicka:
Real-time analysis of NetFlow data for generating network traffic statistics using Apache Spark. NOMS 2016: 1019-1020 - 2015
- [j1]Petr Velan, Milan Cermák, Pavel Celeda, Martin Drasar:
A survey of methods for encrypted traffic classification and analysis. Int. J. Netw. Manag. 25(5): 355-374 (2015) - [c2]Martin Husák, Milan Cermák, Tomás Jirsík, Pavel Celeda:
Network-Based HTTPS Client Identification Using SSL/TLS Fingerprinting. ARES 2015: 389-396 - 2014
- [c1]Milan Cermák, Pavel Celeda, Jan Vykopal:
Detection of DNS Traffic Anomalies in Large Networks. EUNICE 2014: 215-226
Coauthor Index
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