Adrián Pekár

According to our database, Adrián Pekár authored at least 26 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Binary VPN Traffic Detection Using Wavelet Features and Machine Learning.

Yasameen Sajid Razooqi, Adrián Pekár

CoRR, February, 2025

VPN Traffic Analysis: A Survey on Detection and Application Identification.

Yasameen Sajid Razooqi, Adrián Pekár

IEEE Access, 2025

AutoFlow: An Autoencoder-Based Approach for IP Flow Record Compression with Minimal Impact on Traffic Classification.

Adrián Pekár

Proceedings of the NOMS 2025 IEEE Network Operations and Management Symposium, 2025

2024

Incremental federated learning for traffic flow classification in heterogeneous data scenarios.

Adrián Pekár, Árpád László Makara, Gergely Biczók

Neural Comput. Appl., November, 2024

Integrating the Skies for 6G: Techno-Economic Considerations of LEO, HAPS, and UAV Technologies.

László Toka, Márk Konrád, Adrián Pekár, Gergely Biczók

IEEE Commun. Mag., November, 2024

P4toNFV: Offloading from P4 switches to NFV in programmable data planes.

Adrián Pekár, Laszlo A. Makara, Yuan-Cheng Lai, Ying-Dar Lin, Winston Seah

Int. J. Commun. Syst., 2024

Early-Stage Anomaly Detection: A Study of Model Performance on Complete vs. Partial Flows.

Adrián Pekár, Richard Jozsa

CoRR, 2024

Evaluating ML-based anomaly detection across datasets of varied integrity: A case study.

Adrián Pekár, Richard Jozsa

Comput. Networks, 2024

Unveiling Latency-Induced Service Degradation: A Methodological Approach With Dataset.

Balint Bicski, Adrián Pekár

IEEE Access, 2024

Early Detection of Network Service Degradation: An Intra-Flow Approach.

Balint Bicski, Adrián Pekár

Proceedings of the 20th International Conference on Network and Service Management, 2024

2023

Simple Heuristics as a Viable Alternative to Machine Learning-Based Anomaly Detection in Industrial IoT.

Balint Bicski, Károly Farkas, Adrián Pekár

IEEE Internet Things Mag., September, 2023

Public transport congestion detection using incremental learning.

Laszlo A. Makara, Petar Maric, Adrián Pekár

Pervasive Mob. Comput., 2023

2022

Towards threshold-agnostic heavy-hitter classification.

Adrián Pekár, Alejandra Duque-Torres, Winston K. G. Seah, Oscar Maurício Caicedo Rendón

Int. J. Netw. Manag., 2022

NFStream: A flexible network data analysis framework.

Zied Aouini, Adrián Pekár

Comput. Networks, 2022

2021

Quality-enabled decentralized IoT architecture with efficient resources utilization.

Jozef Mocnej, Adrián Pekár, Winston K. G. Seah, Peter Papcun, Erik Kajati, Dominika Cupkova, Jirí Koziorek, Iveta Zolotová

Robotics Comput. Integr. Manuf., 2021

Knowledge Discovery: Can It Shed New Light on Threshold Definition for Heavy-Hitter Detection?

Adrián Pekár, Alejandra Duque-Torres, Winston K. G. Seah, Oscar M. Caicedo

J. Netw. Syst. Manag., 2021

Application Domain-Based Overview of IoT Network Traffic Characteristics.

Adrián Pekár, Jozef Mocnej, Winston K. G. Seah, Iveta Zolotová

ACM Comput. Surv., 2021

2020

A non-intrusive Smart metering system: Analytics and simulation of power consumption.

Peter Fecilak, Adrián Pekár, Norbert Ádám, Anton Baláz, Eva Chovancová

Concurr. Comput. Pract. Exp., 2020

Smart User Consumption Profiling: Incremental Learning-Based OTT Service Degradation.

Juan Sebastián Rojas, Adrián Pekár, Álvaro Rendón Gallón, Juan Carlos Corrales

IEEE Access, 2020

2019

Heavy-Hitter Flow Identification in Data Centre Networks Using Packet Size Distribution and Template Matching.

Alejandra Duque-Torres, Adrián Pekár, Winston K. G. Seah, Oscar Maurício Caicedo Rendón

Proceedings of the 44th IEEE Conference on Local Computer Networks, 2019

Traffic Classification with Machine Learning in a Live Network.

Jarrod N. Bakker, Bryan C. K. Ng, Winston K. G. Seah, Adrián Pekár

Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2019

Angular Histogram-Based Visualisation of Network Traffic Flow Measurement Data.

Adrián Pekár, Mona B. H. Ruan, Winston K. G. Seah

Proceedings of the Advanced Information Networking and Applications, 2019

2018

Scalable Architecture for SDN Traffic Classification.

Matthew Hayes, Bryan C. K. Ng, Adrián Pekár, Winston K. G. Seah

IEEE Syst. J., 2018

Adaptive Aggregation of Flow Records.

Adrián Pekár, Martin Chovanec, Liberios Vokorokos, Eva Chovancová, Peter Fecilak, Miroslav Michalko

Comput. Informatics, 2018

2013

Optimalizácia monitorovania sieťovej prevádzky.

Frantisek Jakab, Adrián Pekár, Peter Fecilak, Miroslav Michalko

Acta Informatica Pragensia, 2013

2012

Overview and insight into the MONICA research group.

Adrián Pekár, Martin Révés, Juraj Giertl, Peter Fecilak

Central Eur. J. Comput. Sci., 2012