Adrián Pekár

36 papers B 7Misc 1Journal 27Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Tutorial on Flow-Based Network Traffic Classification Using Machine Learning. CoRR Adrián Pekár, Richard Plný, Karel Hynek
2025	B	`conf`	AutoFlow: An Autoencoder-Based Approach for IP Flow Record Compression with Minimal Impact on Traffic Classification. NOMS Adrián Pekár
2025	Misc	`conf`	Binary VPN Traffic Detection Using Wavelet Features and Machine Learning. SoftCOM Yasameen Sajid Razooqi, Adrián Pekár
2025	J	`jnl`	Binary VPN Traffic Detection Using Wavelet Features and Machine Learning. CoRR Yasameen Sajid Razooqi, Adrián Pekár
2025	—	`conf`	Early-Stage Anomaly Detection: A Study of Model Performance on Complete vs. Partial Flows. EuroS&P (Workshops) Adrián Pekár, Richard Jozsa
2025	B	`conf`	On the Feasibility of Inter-Flow Service Degradation Detection. CNSM Balint Bicski, Adrián Pekár
2025	J	`jnl`	On the Feasibility of Inter-Flow Service Degradation Detection. CoRR Balint Bicski, Adrián Pekár
2025	B	`conf`	Taming Volatility: Stable and Private QUIC Classification with Federated Learning. CNSM Richard Jozsa, Karel Hynek, Adrián Pekár
2025	J	`jnl`	Taming Volatility: Stable and Private QUIC Classification with Federated Learning. CoRR Richard Jozsa, Karel Hynek, Adrián Pekár
2025	J	`jnl`	VPN Traffic Analysis: A Survey on Detection and Application Identification. IEEE Access Yasameen Sajid Razooqi, Adrián Pekár
2024	J	`jnl`	AutoFlow: An Autoencoder-based Approach for IP Flow Record Compression with Minimal Impact on Traffic Classification. CoRR Adrián Pekár
2024	B	`conf`	Early Detection of Network Service Degradation: An Intra-Flow Approach. CNSM Balint Bicski, Adrián Pekár
2024	J	`jnl`	Early Detection of Network Service Degradation: An Intra-Flow Approach. CoRR Balint Bicski, Adrián Pekár
2024	J	`jnl`	Early-Stage Anomaly Detection: A Study of Model Performance on Complete vs. Partial Flows. CoRR Adrián Pekár, Richard Jozsa
2024	J	`jnl`	Evaluating ML-Based Anomaly Detection Across Datasets of Varied Integrity: A Case Study. CoRR Adrián Pekár, Richard Jozsa
2024	J	`jnl`	Evaluating ML-based anomaly detection across datasets of varied integrity: A case study. Comput. Networks Adrián Pekár, Richard Jozsa
2024	J	`jnl`	Incremental federated learning for traffic flow classification in heterogeneous data scenarios. Neural Comput. Appl. Adrián Pekár, Árpád László Makara, Gergely Biczók
2024	J	`jnl`	Integrating the Skies for 6G: Techno-Economic Considerations of LEO, HAPS, and UAV Technologies. IEEE Commun. Mag. László Toka, Márk Konrád, Adrián Pekár, Gergely Biczók
2024	J	`jnl`	P4toNFV: Offloading from P4 switches to NFV in programmable data planes. Int. J. Commun. Syst. Adrián Pekár, Laszlo A. Makara, Yuan-Cheng Lai, Ying-Dar Lin, Winston Seah
2024	J	`jnl`	Unveiling Latency-Induced Service Degradation: A Methodological Approach With Dataset. IEEE Access Balint Bicski, Adrián Pekár
2023	J	`jnl`	Public transport congestion detection using incremental learning. Pervasive Mob. Comput. Laszlo A. Makara, Petar Maric, Adrián Pekár
2023	J	`jnl`	Simple Heuristics as a Viable Alternative to Machine Learning-Based Anomaly Detection in Industrial IoT. IEEE Internet Things Mag. Balint Bicski, Károly Farkas, Adrián Pekár
2022	J	`jnl`	NFStream: A flexible network data analysis framework. Comput. Networks Zied Aouini, Adrián Pekár
2022	J	`jnl`	Towards threshold-agnostic heavy-hitter classification. Int. J. Netw. Manag. Adrián Pekár, Alejandra Duque-Torres, Winston K. G. Seah, Oscar Maurício Caicedo Rendón
2021	J	`jnl`	Application Domain-Based Overview of IoT Network Traffic Characteristics. ACM Comput. Surv. Adrián Pekár, Jozef Mocnej, Winston K. G. Seah, Iveta Zolotová
2021	J	`jnl`	Knowledge Discovery: Can It Shed New Light on Threshold Definition for Heavy-Hitter Detection? J. Netw. Syst. Manag. Adrián Pekár, Alejandra Duque-Torres, Winston K. G. Seah, Oscar M. Caicedo
2021	J	`jnl`	Quality-enabled decentralized IoT architecture with efficient resources utilization. Robotics Comput. Integr. Manuf. Jozef Mocnej, Adrián Pekár, Winston K. G. Seah, Peter Papcun, Erik Kajati, Dominika Cupkova, Jirí Koziorek, Iveta Zolotová
2020	J	`jnl`	A non-intrusive Smart metering system: Analytics and simulation of power consumption. Concurr. Comput. Pract. Exp. Peter Fecilak, Adrián Pekár, Norbert Ádám, Anton Baláz, Eva Chovancová
2020	J	`jnl`	Smart User Consumption Profiling: Incremental Learning-Based OTT Service Degradation. IEEE Access Juan Sebastián Rojas, Adrián Pekár, Álvaro Rendón Gallón, Juan Carlos Corrales
2019	B	`conf`	Angular Histogram-Based Visualisation of Network Traffic Flow Measurement Data. AINA Adrián Pekár, Mona B. H. Ruan, Winston K. G. Seah
2019	B	`conf`	Heavy-Hitter Flow Identification in Data Centre Networks Using Packet Size Distribution and Template Matching. LCN Alejandra Duque-Torres, Adrián Pekár, Winston K. G. Seah, Oscar Maurício Caicedo Rendón
2019	B	`conf`	Traffic Classification with Machine Learning in a Live Network. IM Jarrod N. Bakker, Bryan C. K. Ng, Winston K. G. Seah, Adrián Pekár
2018	J	`jnl`	Adaptive Aggregation of Flow Records. Comput. Informatics Adrián Pekár, Martin Chovanec, Liberios Vokorokos, Eva Chovancová, Peter Fecilak, Miroslav Michalko
2018	J	`jnl`	Scalable Architecture for SDN Traffic Classification. IEEE Syst. J. Matthew Hayes, Bryan C. K. Ng, Adrián Pekár, Winston K. G. Seah
2013	J	`jnl`	Optimalizácia monitorovania sieťovej prevádzky. Acta Informatica Pragensia Frantisek Jakab, Adrián Pekár, Peter Fecilak, Miroslav Michalko
2012	J	`jnl`	Overview and insight into the MONICA research group. Central Eur. J. Comput. Sci. Adrián Pekár, Martin Révés, Juraj Giertl, Peter Fecilak