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Kandaraj PIAMRAT LEREBOURS
ENSEIGNANT-CHERCHEUR
Maître de conférencesPublications référencées sur HAL
Revues internationales avec comité de lecture (ART_INT)
- [1] O. Aouedi, T. Vu, A. Sacco, D. Nguyen, K. Piamrat, G. Marchetto, Q. Pham. A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions. In Communications Surveys and Tutorials, IEEE Communications Society ; éd. Institute of Electrical and Electronics Engineers, 2024.https://hal.science/hal-04811049v1
- [2] O. Aouedi, L. van An, K. Piamrat, J. Yusheng. Deep Learning on Network Traffic Prediction: Recent Advances, Analysis, and Future Directions. In ACM Computing Surveys ; éd. Association for Computing Machinery, 2024.https://hal.science/hal-04811081v1
- [3] O. Aouedi, K. Piamrat. F-BIDS: Federated-Blending based Intrusion Detection System. In Pervasive and Mobile Computing ; éd. Elsevier, 2023, vol. 89.https://hal.science/hal-04223515v2
- [4] O. Aouedi, K. Piamrat, G. Muller, K. Singh. Federated Semi-Supervised Learning for Attack Detection in Industrial Internet of Things. In IEEE Transactions on Industrial Informatics ; éd. Institute of Electrical and Electronics Engineers, 2023, vol. 19, num. 1.https://hal-emse.ccsd.cnrs.fr/emse-03901817v1
- [5] D. Ngo, O. Aouedi, K. Piamrat, T. Hassan, P. Raipin-Parvédy. Empowering Digital Twin for Future Networks with Graph Neural Networks: Overview, Enabling Technologies, Challenges, and Opportunities. In Future internet ; éd. MDPI, 2023, vol. 15, num. 12.https://hal.science/hal-04331283v1
- [6] O. Aouedi, K. Piamrat, B. Parrein. Intelligent Traffic Management in Next-Generation Networks. In Future internet ; éd. MDPI, 2022.https://hal.science/hal-03546653v1
- [7] O. Aouedi, K. Piamrat, D. Bagadthey. Handling partially labeled network data: a semi-supervised approach using stacked sparse autoencoder. In Computer Networks ; éd. Elsevier, 2022, vol. 207.https://hal.science/hal-03524935v1
- [8] O. Aouedi, A. Sacco, K. Piamrat, G. Marchetto. Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions. In IEEE Journal of Biomedical and Health Informatics ; éd. Institute of Electrical and Electronics Engineers, 2022.https://hal.science/hal-03703925v1
- [9] O. Aouedi, K. Piamrat, B. Parrein. Ensemble-based Deep Learning model for network traffic classification. In IEEE Transactions on Network and Service Management ; éd. IEEE, 2022.https://hal.science/hal-03736603v1
- [10] S. Agrawal, S. Sarkar, O. Aouedi, G. Yenduri, K. Piamrat, M. Alazab, S. Bhattacharya, P. Maddikunta, T. Gadekallu. Federated Learning for intrusion detection system: Concepts, challenges and future directions. In Computer Communications ; éd. Elsevier, 2022.https://hal.science/hal-03779486v1
- [11] O. Aouedi, K. Piamrat, S. Hamma, J. Perera. Network Traffic Analysis using Machine Learning: an unsupervised approach to understand and slice your network. In Annals of Telecommunications - annales des télécommunications ; éd. Springer, 2021.https://hal.science/hal-03344361v1
- [12] H. Park, K. Piamrat, K. Singh, H. Chen. Data Analysis for Self-Driving Vehicles in Intelligent Transportation Systems. In Journal of Advanced Transportation ; éd. Hindawi Publishing Corporation, 2020, vol. 2020.https://hal.science/hal-02486375v1
- [13] E. Bourdy, K. Piamrat, M. Herbin. Big Data: An incoming challenge for vehicular ad-hoc networking. In Internet Technology Letters ; éd. Wiley, 2019, vol. 2, num. 2.https://hal.science/hal-01911631v1
- [14] I. Bennis, H. Fouchal, K. Piamrat, M. Ayaida. Efficient queuing scheme through cross-layer approach for multimedia transmission over WSNs. In Computer Networks ; éd. Elsevier, 2018, vol. 134.https://inria.hal.science/hal-01713038v1
- [15] T. Pham, K. Singh, J. Rodríguez-Aguilar, G. Picard, K. Piamrat, J. Cerquides, C. Viho. AD3-GLaM: A cooperative distributed QoE-based approach for SVC video streaming over wireless mesh networks. In Ad Hoc Networks ; éd. Elsevier, 2018, vol. 80.https://inria.hal.science/hal-01883634v1
- [16] T. Pham, K. Piamrat, K. Singh, C. Viho. Video Streaming over Ad hoc Networks: a QoE-based Optimal Routing Solution. In IEEE Transactions on Vehicular Technology ; éd. Institute of Electrical and Electronics Engineers, 2017, vol. 66, num. 2.https://hal.science/hal-01340989v1
- [17] Q. Pham, K. Piamrat, K. Singh, C. Viho. QoE-based routing algorithms for H.264/SVC video over Ad-hoc networks. In Wireless Networks ; éd. Springer Verlag, 2016, vol. 22, num. 7.https://inria.hal.science/hal-01253420v1
- [18] H. Park, K. Singh, K. Piamrat, J. Bonnin, C. Viho. Adaptive beam scheduling for scalable video multicast in wireless networks. In IET Communications ; éd. Institution of Engineering and Technology, 2014, vol. 50, num. 16.https://hal.science/hal-01068136v1
- [19] K. Piamrat, A. Ksentini, J. Bonnin, C. Viho. Radio resource management in emerging heterogeneous wireless networks. In Computer Communications ; éd. Elsevier, 2011, vol. 34, num. 9.https://inria.hal.science/hal-00646067v1
- [20] K. Piamrat, A. Ksentini, C. Viho, J. Bonnin. Quality of experience: A new paradigm for resource management in wireless multimedia networks. In Recent Patents on Computer Science ; éd. Bentham Science Publishers, 2011, vol. 4.https://inria.hal.science/hal-00789607v1
- [21] O. Aouedi, K. Piamrat. SURFS: Sustainable IntrUsion Detection with HieraRchical Federated Spiking Neural Networks. In ICC 2024 - IEEE International Conference on Communications, juin 2024, Denver, états-Unis.https://hal.science/hal-04811219v1
- [22] O. Aouedi, G. Jajoo, K. Piamrat. METALS : seMi-supervised fEderaTed Active Learning for intrusion detection Systems. In ISCC 2024 - 29th IEEE Symposium on Computers and Communications, juin 2024, Paris, France.https://hal.science/hal-04811225v1
- [23] O. Aouedi, K. Piamrat, M. Südholt. HFedSNN: Efficient Hierarchical Federated Learning using Spiking Neural Networks. In MobiWac 2023: 21st ACM International Symposium on Mobility Management and Wireless Access, octobre 2023, Montréal, Canada.https://hal.science/hal-04197115v1
- [24] O. Aouedi, K. Piamrat, G. Muller, K. Singh. FLUIDS: Federated Learning with semi-supervised approach for Intrusion Detection System. In IEEE Consumer Communications & Networking Conference (CCNC), janvier 2022, Los Angeles (virtual), états-Unis.https://hal.science/hal-03496518v1
- [25] O. Aouedi, K. Piamrat, B. Parrein. Decision tree-based blending method using deep-learning for network management. In IEEE/IFIP Network Operations and Management Symposium, avril 2022, Budapest, Hongrie.https://hal.science/hal-03524973v1
- [26] O. Aouedi, K. Piamrat, G. Muller, K. Singh. Intrusion detection for Softwarized Networks with Semi-supervised Federated Learning. In ICC 2022 - IEEE International Conference on Communications, juin 2022, Seoul, Corée du Sud.https://hal.science/hal-03544099v2
- [27] O. Aouedi, K. Piamrat, G. Muller, K. Singh. Détection d'intrusions fédérée et semi-supervisée pour l'IoT. In Plate-Forme Intelligence Artificielle : Internet des Objets et Intelligence Artificielle, juin 2022, Saint-Etienne, France.https://hal-emse.ccsd.cnrs.fr/emse-04217743v1
- [28] O. Aouedi, K. Piamrat, D. Bagadthey. A Semi-supervised Stacked Autoencoder Approach for Network Traffic Classification. In 2020 IEEE 28th International Conference on Network Protocols (ICNP), octobre 2020, Madrid, Espagne.https://hal.science/hal-03049711v1
- [29] M. Perera Jayasuriya Kuranage, K. Piamrat, S. Hamma. Network Traffic Classification Using Machine Learning for Software Defined Networks. In 2nd International Conference on Machine Learning for Networking (MLN), décembre 2019, Paris, France.In Selma Boumerdassi (éds.), . Springer International Publishing, 2019.https://inria.hal.science/hal-03266452v1
- [30] E. Bourdy, K. Piamrat, M. Herbin, H. Fouchal. New Method for Exemplar Selection and Application to VANET Experimentation. In IEEE Global Communications Conference (GLOBECOM), 2018, Abu Dhabi, émirats arabes unis.https://hal.science/hal-02133061v1
- [31] E. Bourdy, K. Piamrat, M. Herbin, H. Fouchal. New Method for Selecting Exemplars Application to Roadway Experimentation. In International Conference on Innovations for Community Services (I4CS), 2018, Žilina, Slovaquie.https://hal.science/hal-02133065v1
- [32] I. Bennis, K. Piamrat, H. Fouchal, M. Ayaida. A cross-layer scheme for multimedia transfer over AdHoc networks. In International Conference on Communications (ICC), 2017, Paris, France.https://hal.science/hal-01698712v1
- [33] Q. Pham, K. Piamrat, K. Singh, C. Viho. Q-RoSA: QoE-aware routing for SVC video streaming over ad-hoc networks. In Annual Consumer Communications & Networking Conference (CCNC), 2016, Las Vegas, états-Unis.https://hal.science/hal-01341209v1
- [34] Q. Pham, K. Piamrat, K. Singh, C. Viho. Q-SWiM: QoE-based Routing algorithm for SVC Video Streaming over Wireless Mesh Networks. In Annual International Symposium on Personal and Indoor Mobile Radio Conference (PIMRC), 2016, Valencia, Espagne.https://hal.science/hal-01386166v1
- [35] I. Bennis, H. Fouchal, K. Piamrat, O. Zytoune, D. Aboutajdine. A Realistic Multipath Routing for Ad Hoc Networks. In GLOBECOM 2015 - 2015 IEEE Global Communications Conference, décembre 2015, San Diego, états-Unis.https://hal.science/hal-04202839v1
- [36] Q. Pham, K. Piamrat, C. Viho. QoE-Aware Routing for Video Streaming over VANETs. In Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th, septembre 2014, Vancouver, Canada.https://hal.science/hal-01105360v1
- [37] Q. Pham, K. Piamrat, C. Viho. QoE-aware Routing for Video Streaming over Ad-hoc Networks. In IEEE Global Communications Conferences (GLOBECOM) 2014, décembre 2014, Austin, états-Unis.https://inria.hal.science/hal-01097997v1
- [38] P. Anh Quang, K. Piamrat, C. Viho. QoE-aware routing for video streaming over ad-hoc networks. In 2014 IEEE Global Communications Conference (GLOBECOM), décembre 2014, Austin, états-Unis.https://hal.science/hal-04202842v1
- [39] K. Piamrat, F. Patrick, C. Viho. Managing wireless IPTV in multimedia home networking. In 15th International Conference on Advanced Communication Technology (ICACT), janvier 2013, Jeju Island, Corée du Nord.https://hal.science/hal-00930064v1
- [40] K. Singh, K. Piamrat, H. Park, C. Viho, J. Bonnin. Optimising QoE for Scalable Video multicast over WLAN. In IEEE 24th International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC'2013), septembre 2013, London, Royaume-Uni.https://hal.science/hal-00930091v1
- [41] K. Piamrat, A. Ksentini, C. Viho, J. Bonnin. QoE-aware Vertical Handover in Wireless Heterogeneous Networks. In 7th International Wireless Communications and Mobile Computing Conference (IWCMC), juillet 2011, Istanbul, Turquie.https://inria.hal.science/hal-00714992v1
- [42] K. Piamrat, K. Singh, A. Ksentini, C. Viho, J. Bonnin. QoE-Aware Scheduling for Video-Streaming in High Speed Downlink Packet Access. In Networking Conference (WCNC), avril 2010, Sydney, Australie.https://hal.science/hal-04202844v1
- [43] K. Piamrat, K. Singh, A. Ksentini, C. Viho, J. Bonnin. QoE-aware scheduling for video-streaming in high speed downlink packet access. In WCNC'10 : IEEE Wireless Communications & Networking Conference, avril 2010, Sydney, Australie.https://hal.science/hal-00523097v1
- [44] K. Piamrat, A. Ksentini, C. Viho, J. Bonnin. Quality of experience measurements for video sreaming over wireless networks. In ITNG'09 : 7th international conference on Information technology new generations, avril 2009, Las Vegas, Nevada, états-Unis.https://hal.science/hal-02901796v1
- [45] K. Piamrat, C. Viho, A. Ksentini, J. Bonnin. Quality of Experience Measurements for Video Streaming over Wireless Networks. In 6th International Conference on Information Technology : New Generations (ITNG), avril 2009, Las Vegas, états-Unis.https://inria.hal.science/hal-00789332v1
- [46] K. Piamrat, A. Ksentini, C. Viho, J. Bonnin. Rate Adaptation Mechanism for Multimedia Multicasting in Wireless Networks. In International Conference on Broadband Communications (Broadnets), septembre 2009, Madrid, Espagne.https://inria.hal.science/hal-00789335v1
- [47] K. Piamrat, A. Ksentini, C. Viho, J. Bonnin. Q-DRAM: QoE-based Dynamic Rate Adaptation Mechanism for Multicast in Wireless Networks. In IEEE Global Telecommunication Conference (Globecom), novembre 2009, Hawaii, états-Unis.https://inria.hal.science/hal-00789336v1
- [48] K. Piamrat, A. Ksentini, J. Bonnin, C. Viho. Q-DRAM: QoE-Based Dynamic Rate Adaptation Mechanism for Multicast in Wireless Networks. In GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference, novembre 2009, Honolulu, états-Unis.https://hal.science/hal-04202845v1
- [49] K. Piamrat, A. Ksentini, C. Viho, J. Bonnin. QoE-aware admission control for multimedia applications in IEEE 802.11 wireless networks. In VTC'08 : IEEE 68th Vehicular Technology Conference, septembre 2008, Calgari, Canada.https://hal.science/hal-02901396v1
- [50] K. Piamrat, A. Ksentini, C. Viho, J. Bonnin. QoE-based network selection for multimedia users in IEEE 802.11 wireless networks. In 2008 33rd IEEE Conference on Local Computer Networks (LCN 2008), octobre 2008, Montreal, Canada.https://hal.science/hal-04202848v1
- [51] K. Piamrat, A. Ksentini, C. Viho, J. Bonnin. QoE-based network selection for multimedia users in IEEE 802.11 wireless networks. In LCN'08 : 33rd annual IEEE conference on local computer networks, octobre 2008, Montréal, Quebec, Canada.https://hal.science/hal-02901330v1
- [52] X. Sun, K. Piamrat, C. Viho. QOE-based dynamic resource allocation for multimedia traffic in IEEE 802.11 wireless networks. In IEEE International Conference on Multimedia and Expo (ICME), 2011, 2011, Unknown.https://inria.hal.science/hal-00789627v1
- [53] K. Piamrat, H. Park, K. Singh, C. Viho. QoE-Based Network Selection in Heterogeneous Environments. In Quality of Experience Engineering for Customer Added Value Services: From Evaluation to Monitoring. 07-2014 https://inria.hal.science/hal-01097979v1
- [54] K. Piamrat. Quality-aware Resource Management inWireless Networks. Thèses : Université Rennes 1. https://theses.hal.science/tel-00647693v2
- [55] O. Aouedi, K. Piamrat, G. Muller, K. Singh. Détection d’intrusions fédérée et semi-supervisée pour l’IoT. In Plate-Forme Intelligence Artificielle PFIA 2022, juin 2022, Saint-Etienne, France.https://hal-emse.ccsd.cnrs.fr/emse-03922716v1
- [56] M. Perera, K. Piamrat, S. Hamma. Network Traffic Classification using Machine Learning for Software Defined Networks. In Journées non thématiques GDR-RSD 2020, janvier 2020, Nantes, France.https://hal.science/hal-02539341v1
- [57] O. Aouedi, K. Piamrat, B. Parrein. Network Feature Selection based on Machine Learning for Resource Management. In GDR-RSD, janvier 2020, Nantes, France.https://hal.science/hal-02539629v1
- [58] Q. Pham, K. Piamrat, C. Viho. Resource Management in Wireless Access Networks: A layer-based classification - Version 1.0. Rapport technique, 2014 ; .https://inria.hal.science/hal-01010572v1
- [59] K. Piamrat, C. Viho, A. Ksentini, J. Bonnin. QoE-aware Network Selection in Wireless Heterogeneous Networks. Rapport technique, 2010 ; INRIA.https://inria.hal.science/inria-00482267v2
- [60] K. Piamrat, C. Viho, A. Ksentini, J. Bonnin. Rate Adaptation Mechanisms for Multimedia Multicasting in Wireless IEEE 802.11 Networks. Rapport technique, 2009 ; .https://inria.hal.science/inria-00365500v2
- [61] K. Piamrat, C. Viho, A. Ksentini, J. Bonnin. Resource Management in Mobile Heterogeneous Networks: State of the Art and Challenges. Rapport technique, 2008 ; .https://inria.hal.science/inria-00261976v1
- [62] K. Piamrat, C. Viho, A. Ksentini, J. Bonnin. Resource Management in Mobile Heterogeneous Networks: State of the Art and Challenges. Rapport technique, 2008 ; INRIA.https://inria.hal.science/inria-00258507v4