Tomás Cejka

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 42

Top Topics

Fraud Detection

Top Venues

Publications

Dominik Soukup, Jaroslav Pesek, Lukás Hejcman, David Benes, Tomás Cejka
TCI: A system for distributed network monitoring, troubleshooting and dataset creation. NOMS (2024)
Josef Koumar, Karel Hynek, Jaroslav Pesek, Tomás Cejka
NetTiSA: Extended IP flow with time-series features for universal bandwidth-constrained high-speed network traffic classification. Comput. Networks 240 (2024)
Lukás Jancicka, Josef Koumar, Dominik Soukup, Tomás Cejka
Analysis of Statistical Distribution Changes of Input Features in Network Traffic Classification Domain. NOMS (2024)
Josef Koumar, Karel Hynek, Jaroslav Pesek, Tomás Cejka
NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic Classification. CoRR (2023)
Jaroslav Pesek, Dominik Soukup, Tomás Cejka
Active Learning Framework For Long-term Network Traffic Classification. CCWC (2023)
Josef Koumar, Richard Plný, Tomás Cejka
Enhancing DeCrypto: Finding Cryptocurrency Miners Based on Periodic Behavior. CNSM (2023)
Josef Koumar, Tomás Cejka
Unevenly Spaced Time Series from Network Traffic. TMA (2023)
Jan Luxemburk, Karel Hynek, Tomás Cejka
Encrypted traffic classification: the QUIC case. TMA (2023)
Jan Luxemburk, Tomás Cejka
Fine-grained TLS services classification with reject option. Comput. Networks 220 (2023)
Josef Koumar, Karel Hynek, Tomás Cejka
Network Traffic Classification Based on Single Flow Time Series Analysis. CNSM (2023)
Josef Koumar, Karel Hynek, Tomás Cejka
Network Traffic Classification based on Single Flow Time Series Analysis. CoRR (2023)
Daniel Uhrícek, Karel Hynek, Tomás Cejka, Dusan Kolár
BOTA: Explainable IoT Malware Detection in Large Networks. IEEE Internet Things J. 10 (10) (2023)
Dominik Soukup, Daniel Uhrícek, Daniel Vasata, Tomás Cejka
Machine Learning Metrics for Network Datasets Evaluation. SEC (2023)
Tomás Benes, Jaroslav Pesek, Tomás Cejka
Look at my Network: An Insight into the ISP Backbone Traffic. CNSM (2023)
Martin Zádník, Jan Wrona, Karel Hynek, Tomás Cejka, Martin Husák
Discovering Coordinated Groups of IP Addresses Through Temporal Correlation of Alerts. IEEE Access 10 (2022)
Jaroslav Pesek, Dominik Soukup, Tomás Cejka
Active Learning Framework to Automate NetworkTraffic Classification. CoRR (2022)
Richard Plný, Karel Hynek, Tomás Cejka
DeCrypto: Finding Cryptocurrency Miners on ISP Networks. NordSec (2022)
Karel Hynek, Dmitrii Vekshin, Jan Luxemburk, Tomás Cejka, Armin Wasicek
Summary of DNS Over HTTPS Abuse. IEEE Access 10 (2022)
Katarzyna Wasielewska, Dominik Soukup, Tomás Cejka, José Camacho
Evaluation of the Limit of Detection in Network Dataset Quality Assessment with PerQoDA. PKDD/ECML Workshops (2) (2022)
Josef Koumar, Tomás Cejka
Network traffic classification based on periodic behavior detection. CNSM (2022)
Sebastián García, Joaquín Bogado, Karel Hynek, Dmitrii Vekshin, Tomás Cejka, Armin Wasicek
Large Scale Analysis of DoH Deployment on the Internet. ESORICS (3) (2022)
Lukás Melcher, Karel Hynek, Tomás Cejka
Tunneling through DNS over TLS providers. CNSM (2022)
Jan Luxemburk, Tomás Cejka
Fine-grained TLS Services Classification with Reject Option. CoRR (2022)
Sebastián García, Karel Hynek, Dmitrii Vekshin, Tomás Cejka, Armin Wasicek
Large Scale Measurement on the Adoption of Encrypted DNS. CoRR (2021)
Jan Luxemburk, Karel Hynek, Tomás Cejka
Detection of HTTPS Brute-Force Attacks with Packet-Level Feature Set. CCWC (2021)
Zdena Tropková, Karel Hynek, Tomás Cejka
Novel HTTPS classifier driven by packet bursts, flows, and machine learning. CNSM (2021)
Dominik Soukup, Peter Tisovcík, Karel Hynek, Tomás Cejka
Towards Evaluating Quality of Datasets for Network Traffic Domain. CNSM (2021)
Karel Hynek, Tomás Benes, Tomás Cejka, Hana Kubátová
Refined Detection of SSH Brute-Force Attackers Using Machine Learning. SEC (2020)
Karel Hynek, Tomás Cejka, Martin Zádník, Hana Kubátová
Evaluating Bad Hosts Using Adaptive Blacklist Filter. MECO (2020)
Dmitrii Vekshin, Karel Hynek, Tomás Cejka
DoH Insight: detecting DNS over HTTPS by machine learning. ARES (2020)
Tomás Benes, Michal Kekely, Karel Hynek, Tomás Cejka
Pipelined ALU for effective external memory access in FPGA. DSD (2020)
Tomás Cejka, Petr Velan, Jirí Havránek, Pavel Benácek
Enhanced Flow Monitoring with P4 Generated Flexible Packet Parser. AIMS (2018)
Tomás Jánský, Tomás Cejka, Martin Zádník, Václav Bartos
Augmented DDoS Mitigation with Reputation Scores. ARES (2018)
Pavel Benácek, Viktor Pus, Hana Kubátová, Tomás Cejka
P4-To-VHDL: Automatic generation of high-speed input and output network blocks. Microprocess. Microsystems 56 (2018)
Marek Svepes, Tomás Cejka
Making Flow-Based Security Detection Parallel. AIMS (2017)
Tomás Jánský, Tomás Cejka, Václav Bartos
Hunting SIP Authentication Attacks Efficiently. AIMS (2017)
Tomás Cejka, Martin Zádník
Preserving Relations in Parallel Flow Data Processing. AIMS (2017)
Tomás Cejka, Václav Bartos, Marek Svepes, Zdenek Rosa, Hana Kubátová
NEMEA: A framework for network traffic analysis. CNSM (2016)
Tomás Cejka, Marek Svepes
Analysis of Vertical Scans Discovered by Naive Detection. AIMS (2016)
Zdenek Rosa, Tomás Cejka, Martin Zádník, Viktor Pus
Building a feedback loop to capture evidence of network incidents. CNSM (2016)
Tomás Cejka, Radek Krejcí
Configuration of open vSwitch using OF-CONFIG. NOMS (2016)
Tomás Cejka, Václav Bartos, Lukas Truxa, Hana Kubátová
Using Application-Aware Flow Monitoring for SIP Fraud Detection. AIMS (2015)
Pavel Benácek, Rudolf B. Blazek, Tomás Cejka, Hana Kubátová
Change-point detection method on 100 Gb/s ethernet interface. ANCS (2014)
Tomás Cejka, Zdenek Rosa, Hana Kubátová
Stream-wise detection of surreptitious traffic over DNS. CAMAD (2014)