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2020 – today
- 2024
[j6]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: 110147 (2024)- [c34]Tomás Martínek, Jan Korenek, Tomás Cejka:
LGBM2VHDL: Mapping of LightGBM Models to FPGA. FCCM 2024: 97-103 - [c33]Lukás Jancicka, Josef Koumar, Dominik Soukup, Tomás Cejka:
Analysis of Statistical Distribution Changes of Input Features in Network Traffic Classification Domain. NOMS 2024: 1-4 - [c32]Dominik Soukup, Jaroslav Pesek, Lukás Hejcman, David Benes, Tomás Cejka:
TCI: A system for distributed network monitoring, troubleshooting and dataset creation. NOMS 2024: 1-6 - [i6]Josef Koumar, Karel Hynek, Tomás Cejka, Pavel Siska:
CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting. CoRR abs/2409.18874 (2024) - 2023
- [j5]Jan Luxemburk, Tomás Cejka:
Fine-grained TLS services classification with reject option. Comput. Networks 220: 109467 (2023) - [j4]Daniel Uhrícek, Karel Hynek, Tomás Cejka, Dusan Kolár:
BOTA: Explainable IoT Malware Detection in Large Networks. IEEE Internet Things J. 10(10): 8416-8431 (2023) - [c31]Jaroslav Pesek, Dominik Soukup, Tomás Cejka:
Active Learning Framework For Long-term Network Traffic Classification. CCWC 2023: 893-899 - [c30]Tomás Benes, Jaroslav Pesek, Tomás Cejka:
Look at my Network: An Insight into the ISP Backbone Traffic. CNSM 2023: 1-7 - [c29]Josef Koumar, Karel Hynek, Tomás Cejka:
Network Traffic Classification Based on Single Flow Time Series Analysis. CNSM 2023: 1-7 - [c28]Josef Koumar, Richard Plný, Tomás Cejka:
Enhancing DeCrypto: Finding Cryptocurrency Miners Based on Periodic Behavior. CNSM 2023: 1-7 - [c27]Dominik Soukup, Daniel Uhrícek, Daniel Vasata, Tomás Cejka:
Machine Learning Metrics for Network Datasets Evaluation. SEC 2023: 307-320 - [c26]Josef Koumar, Tomás Cejka:
Unevenly Spaced Time Series from Network Traffic. TMA 2023: 1-4 - [c25]Jan Luxemburk, Karel Hynek, Tomás Cejka:
Encrypted traffic classification: the QUIC case. TMA 2023: 1-10 - [i5]Josef Koumar, Karel Hynek, Tomás Cejka:
Network Traffic Classification based on Single Flow Time Series Analysis. CoRR abs/2307.13434 (2023) - [i4]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 abs/2310.05530 (2023) - 2022
- [j3]Karel Hynek, Dmitrii Vekshin, Jan Luxemburk, Tomás Cejka, Armin Wasicek:
Summary of DNS Over HTTPS Abuse. IEEE Access 10: 54668-54680 (2022) - [j2]Martin Zádník, Jan Wrona, Karel Hynek, Tomás Cejka, Martin Husák:
Discovering Coordinated Groups of IP Addresses Through Temporal Correlation of Alerts. IEEE Access 10: 82799-82813 (2022) - [c24]Josef Koumar, Tomás Cejka:
Network traffic classification based on periodic behavior detection. CNSM 2022: 359-363 - [c23]Lukás Melcher, Karel Hynek, Tomás Cejka:
Tunneling through DNS over TLS providers. CNSM 2022: 359-363 - [c22]Sebastián García, Joaquín Bogado, Karel Hynek, Dmitrii Vekshin, Tomás Cejka, Armin Wasicek:
Large Scale Analysis of DoH Deployment on the Internet. ESORICS (3) 2022: 145-165 - [c21]Richard Plný, Karel Hynek, Tomás Cejka:
DeCrypto: Finding Cryptocurrency Miners on ISP Networks. NordSec 2022: 139-158 - [c20]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: 170-185 - [i3]Jan Luxemburk, Tomás Cejka:
Fine-grained TLS Services Classification with Reject Option. CoRR abs/2202.11984 (2022) - [i2]Jaroslav Pesek, Dominik Soukup, Tomás Cejka:
Active Learning Framework to Automate NetworkTraffic Classification. CoRR abs/2211.08399 (2022) - 2021
- [c19]Jan Luxemburk, Karel Hynek, Tomás Cejka:
Detection of HTTPS Brute-Force Attacks with Packet-Level Feature Set. CCWC 2021: 114-122 - [c18]Dominik Soukup, Peter Tisovcík, Karel Hynek, Tomás Cejka:
Towards Evaluating Quality of Datasets for Network Traffic Domain. CNSM 2021: 264-268 - [c17]Zdena Tropková, Karel Hynek, Tomás Cejka:
Novel HTTPS classifier driven by packet bursts, flows, and machine learning. CNSM 2021: 345-349 - [i1]Sebastián García, Karel Hynek, Dmitrii Vekshin, Tomás Cejka, Armin Wasicek:
Large Scale Measurement on the Adoption of Encrypted DNS. CoRR abs/2107.04436 (2021) - 2020
- [c16]Dmitrii Vekshin, Karel Hynek, Tomás Cejka:
DoH Insight: detecting DNS over HTTPS by machine learning. ARES 2020: 87:1-87:8 - [c15]Tomás Benes, Michal Kekely, Karel Hynek, Tomás Cejka:
Pipelined ALU for effective external memory access in FPGA. DSD 2020: 97-100 - [c14]Karel Hynek, Tomás Cejka, Martin Zádník, Hana Kubátová:
Evaluating Bad Hosts Using Adaptive Blacklist Filter. MECO 2020: 1-5 - [c13]Karel Hynek, Tomás Benes, Tomás Cejka, Hana Kubátová:
Refined Detection of SSH Brute-Force Attackers Using Machine Learning. SEC 2020: 49-63
2010 – 2019
- 2018
- [j1]Pavel Benácek, Viktor Pus, Hana Kubátová, Tomás Cejka:
P4-To-VHDL: Automatic generation of high-speed input and output network blocks. Microprocess. Microsystems 56: 22-33 (2018) - [c12]Tomás Jánský, Tomás Cejka, Martin Zádník, Václav Bartos:
Augmented DDoS Mitigation with Reputation Scores. ARES 2018: 54:1-54:7 - [c11]Tomás Cejka, Petr Velan, Jirí Havránek, Pavel Benácek:
Enhanced Flow Monitoring with P4 Generated Flexible Packet Parser. AIMS 2018: 21-32 - 2017
- [c10]Marek Svepes, Tomás Cejka:
Making Flow-Based Security Detection Parallel. AIMS 2017: 3-15 - [c9]Tomás Jánský, Tomás Cejka, Václav Bartos:
Hunting SIP Authentication Attacks Efficiently. AIMS 2017: 125-130 - [c8]Tomás Cejka, Martin Zádník:
Preserving Relations in Parallel Flow Data Processing. AIMS 2017: 153-156 - 2016
- [c7]Tomás Cejka, Marek Svepes:
Analysis of Vertical Scans Discovered by Naive Detection. AIMS 2016: 165-169 - [c6]Tomás Cejka, Václav Bartos, Marek Svepes, Zdenek Rosa, Hana Kubátová:
NEMEA: A framework for network traffic analysis. CNSM 2016: 195-201 - [c5]Zdenek Rosa, Tomás Cejka, Martin Zádník, Viktor Pus:
Building a feedback loop to capture evidence of network incidents. CNSM 2016: 292-296 - [c4]Tomás Cejka, Radek Krejcí:
Configuration of open vSwitch using OF-CONFIG. NOMS 2016: 883-888 - 2015
- [c3]Tomás Cejka, Václav Bartos, Lukas Truxa, Hana Kubátová:
Using Application-Aware Flow Monitoring for SIP Fraud Detection. AIMS 2015: 87-99 - 2014
- [c2]Pavel Benácek, Rudolf B. Blazek, Tomás Cejka, Hana Kubátová:
Change-point detection method on 100 Gb/s ethernet interface. ANCS 2014: 245-246 - [c1]Tomás Cejka, Zdenek Rosa, Hana Kubátová:
Stream-wise detection of surreptitious traffic over DNS. CAMAD 2014: 300-304
Coauthor Index
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last updated on 2024-10-18 19:32 CEST by the dblp team
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