| NFStream: A flexible network data analysis framework Z Aouini, A Pekar Computer Networks 204, 108719, 2022 | 129 | 2022 |
| Decentralised IoT architecture for efficient resources utilisation J Mocnej, WKG Seah, A Pekar, I Zolotova Ifac-Papersonline 51 (6), 168-173, 2018 | 84 | 2018 |
| Scalable architecture for SDN traffic classification M Hayes, B Ng, A Pekar, WKG Seah IEEE Systems Journal 12 (4), 3203-3214, 2017 | 82 | 2017 |
| Application domain-based overview of IoT network traffic characteristics A Pekar, J Mocnej, WKG Seah, I Zolotova ACM Computing Surveys (CSUR) 53 (4), 1-33, 2020 | 79 | 2020 |
| Quality-enabled decentralized IoT architecture with efficient resources utilization J Mocnej, A Pekar, WKG Seah, P Papcun, E Kajati, D Cupkova, ... Robotics and Computer-Integrated Manufacturing 67, 102001, 2021 | 76 | 2021 |
| Network traffic characteristics of the IoT application use cases J Mocnej, A Pekar, WKG Seah, I Zolotova School of Engineering and Computer Science, Victoria University of Wellington, 2018 | 69 | 2018 |
| Smart user consumption profiling: Incremental learning-based OTT service degradation JS Rojas, A Pekar, Á Rendón, JC Corrales IEEE access 8, 207426-207442, 2020 | 46 | 2020 |
| Traffic classification with machine learning in a live network J Bakker, B Ng, WKG Seah, A Pekar 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM …, 2019 | 40 | 2019 |
| Yet another attempt in user authentication L Vokorokos, A Pekár, N Ádám, P Darányi Acta Polytechnica Hungarica 10 (3), 37-50, 2013 | 28 | 2013 |
| Adaptive Aggregation of Flow Records A Pekár, M Chovanec, L Vokorokos, E Chovancová, P Feciľak, ... Computing and Informatics 37 (1), 142–164, 2018 | 27 | 2018 |
| Integrating the skies for 6G: Techno-economic considerations of LEO, HAPS, and UAV technologies L Toka, M Konrad, A Pekar, G Biczók IEEE Communications Magazine 62 (11), 44-51, 2024 | 16 | 2024 |
| Knowledge discovery: Can it shed new light on threshold definition for heavy-hitter detection? A Pekar, A Duque-Torres, WKG Seah, O Caicedo Journal of Network and Systems Management 29 (3), 24, 2021 | 15 | 2021 |
| Data preprocessing for efficient evaluation of network traffic parameters L Vokorokos, A Pekár, N Ádám 2012 IEEE 16th International Conference on Intelligent Engineering Systems …, 2012 | 15 | 2012 |
| Incremental federated learning for traffic flow classification in heterogeneous data scenarios A Pekar, LA Makara, G Biczok Neural Computing and Applications 36 (32), 20401-20424, 2024 | 14 | 2024 |
| IPFIX Mediation framework of the SLAmeter tool L Vokorokos, A Pekár, P Fecil'ak 2013 IEEE 11th International Conference on Emerging eLearning Technologies …, 2013 | 14 | 2013 |
| Issues in the passive approach of network traffic monitoring A Pekár, E Chovancová, P Fanfara, J Trelová 2013 IEEE 17th International Conference on Intelligent Engineering Systems …, 2013 | 14 | 2013 |
| Evaluating ML-based anomaly detection across datasets of varied integrity: A case study A Pekar, R Jozsa Computer Networks 251, 110617, 2024 | 13 | 2024 |
| Towards machine learning-based anomaly detection on time-series data D Vajda, A Pekar, K Farkas Infocommun. J, 2021 | 12 | 2021 |
| Heavy-hitter flow identification in data centre networks using packet size distribution and template matching A Duque-Torres, A Pekar, WKG Seah, OMC Rendon 2019 IEEE 44th Conference on Local Computer Networks (LCN), 10-17, 2019 | 11 | 2019 |
| SLAmeter-The evaluator of network traffic parameters A Pekár, P Fecil'ak, M Michalko, J Giertl, M Révés 2012 IEEE 10th International Conference on Emerging eLearning Technologies …, 2012 | 10 | 2012 |
Winston SeahProfessor of Network Engineering, Victoria University of WellingtonVerified email at ecs.vuw.ac.nz
