Detection of DNS Traffic Anomalies in Large Networks. - Milan Cermák; Pavel Celeda; Jan Vykopal (EUNICE, 2014)

Network-Based HTTPS Client Identification Using SSL/TLS Fingerprinting. - Martin Husák; Milan Cermák; Tomás Jirsík; Pavel Celeda (ARES, 2015)

A survey of methods for encrypted traffic classification and analysis. - Petr Velan; Milan Cermák; Pavel Celeda; Martin Drasar (Int. J. Netw. Manag., 2015)

Detecting Advanced Network Threats Using a Similarity Search. - Milan Cermák; Pavel Celeda (AIMS, 2016)

On Information Value of Top N Statistics. - Tomás Jirsík; Milan Cermák; Pavel Celeda (ICITCS, 2016)

Real-time analysis of NetFlow data for generating network traffic statistics using Apache Spark. - Milan Cermák; Tomás Jirsík; Martin Lastovicka (NOMS, 2016)

A performance benchmark for NetFlow data analysis on distributed stream processing systems. - Milan Cermák; Daniel Tovarnák; Martin Lastovicka; Pavel Celeda (NOMS, 2016)

HTTPS traffic analysis and client identification using passive SSL/TLS fingerprinting. - Martin Husák; Milan Cermák; Tomás Jirsík; Pavel Celeda (EURASIP J. Inf. Secur., 2016)

A graph-based representation of relations in network security alert sharing platforms. - Martin Husák; Milan Cermák (IM, 2017)

Exchanging security events: Which and how many alerts can we aggregate? - Martin Husák; Milan Cermák; Martin Lastovicka; Jan Vykopal (IM, 2017)

Toward Stream-Based IP Flow Analysis. - Tomás Jirsík; Milan Cermák; Daniel Tovarnák; Pavel Celeda (IEEE Commun. Mag., 2017)

Enhancing cybersecurity skills by creating serious games. - Valdemar Svábenský; Jan Vykopal; Milan Cermák; Martin Lastovicka (ITiCSE, 2018)

Towards Provable Network Traffic Measurement and Analysis via Semi-Labeled Trace Datasets. - Milan Cermák; Tomás Jirsík; Petr Velan; Jana Komárková; Stanislav Spacek; Martin Drasar; Tomas Plesnik (TMA, 2018)

Real-time Pattern Detection in IP Flow Data using Apache Spark. - Milan Cermák; Martin Lastovicka; Tomás Jirsík (IM, 2019)

Stream-Based IP Flow Analysis. - Milan Cermák; Pavel Celeda (IM, 2021)

GRANEF: Utilization of a Graph Database for Network Forensics. - Milan Cermák; Denisa Sramkova (SECRYPT, 2021)

SoK: Applications and Challenges of using Recommender Systems in Cybersecurity Incident Handling and Response. - Martin Husák; Milan Cermák (ARES, 2022)

Using relational graphs for exploratory analysis of network traffic data. - Milan Cermák; Tatiana Fritzová; Vít Rusnák; Denisa Sramkova (Digit. Investig., 2023)

On Collaboration and Automation in the Context of Threat Detection and Response with Privacy-Preserving Features. - Lasse Nitz; Mehdi Akbari Gurabi; Milan Cermák; Martin Zádník; David A. Karpuk; Arthur Drichel; Sebastian Schäfer 004; Benedikt Holmes; Avikarsha Mandal (Digit. Threat. Res. Pract., 2025)