Publications

(2024) DeepNIDS: A Deep Neural Network-Based Network Intrusion Detection System for IoT.
2024 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT).
Xuan-Duong Nguyen, Xuan-Ha Nguyen, Hoang-Hai Huynh, Khanh-Hoi Le-Minh, Kim-Hung Le

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(2024) BERT-Enhanced DGA Botnet Detection: A Comparative Analysis of Machine Learning and Deep Learning Models.
2024 13th International Conference on Control, Automation and Information Sciences (ICCAIS).
Qui Cao, Phuc Dao-Hoang, Dat-Thinh Nguyen, Xuan-Ha Nguyen, Kim-Hung Le

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(2024) An Effective Unsupervised Cyber Attack Detection on Web Applications Using Gaussian Mixture Model.
The 13th Conference on Information Technology and Its Applications.
KH. Tran-Thi, MH., Ngo, TK., DT., Nguyen, XH., Le

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(2024) Advancing Phishing Attack Detection with a Novel Dataset and Deep Learning Solution.
The 13th Conference on Information Technology and Its Applications.
KH. Le, QK., QA., DT., Nguyen, XH., Le

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(2024) Deep learning models for UAV-assisted bridge inspection: A YOLO benchmark analysis.
2024 International Conference on Advanced Technologies for Communications (ATC).
Trong-Nhan Phan, Hoang-Hai Nguyen, Huy-Tan Thai, Kim-Hung Le

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(2024) An automated benchmarking framework for anomaly-based intrusion detection systems.
2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR).
Xuan-Ha Nguyen, Kim-Hung Le

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(2024) A Multi-Input Bi-LSTM Autoencoder Model with Wavelet Transform for Air Quality Prediction.
2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR).
Minh-Hao Ho, Nhu-Y Tran-Van, Kim-Hung Le

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(2023) The Impact of Rotational Invariance on Tree-and Deep Learning-Based Network Intrusion Detection System.
2023 RIVF International Conference on Computing and Communication Technologies (RIVF).
Dat-Thinh Nguyen, Xuan-Ha Nguyen, Kim-Hung Le

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(2023) Benchmarking svm variants for unsupervised intrusion detection system.
2023 RIVF International Conference on Computing and Communication Technologies (RIVF).
Xuan-Ha Nguyen, Dat-Thinh Nguyen, Kim-Hung Le

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(2023) Towards real-time outdoor air quality prediction using a hybrid model based on internet of things devices.
2023 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT).
Nhu-Y Tran-Van, Huy-Tan Thai, Khanh-Hoi Le-Minh, Kim-Hung Le

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(2023) An Edge-based Fire Detection System for Real-Time IoT Applications.
2023 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT).
Huy-Tan Thai, Nhu-Y Tran-Van, Khanh-Hoi Le-Minh, Kim-Hung Le

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(2023) Towards generating semi-synthetic datasets for network intrusion detection system.
2023 International Conference on Information Networking (ICOIN).
Ngoc-Truong Nguyen, Ton-Nhan Le, Khanh-Hoi Le-Minh, Kim-Hung Le

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(2022) Enhancing explainability of machine learning-based intrusion detection systems.
2022 RIVF International Conference on Computing and Communication Technologies (RIVF).
Thuy-Linh Nguyen, Xuan-Ha Nguyen, Kim-Hung Le

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(2022) A Real-time Border Surveillance System using Deep Learning and Edge Computing.
2022 RIVF International Conference on Computing and Communication Technologies (RIVF).
Dang-Khoa Luong-Huu, Tan-an Ngo, Huy-Tan Thai, Kim-Hung Le

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(2022) Towards an attention-based threat detection system for iot networks.
International Conference on Future Data and Security Engineering.
Thanh-Nhan Nguyen, Khanh-Mai Dang, Anh-Duy Tran, Kim-Hung Le

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(2022) Preventing Adversarial Attacks Against Deep Learning-Based Intrusion Detection System.
International Conference on Information Security Practice and Experience.
Xuan-Ha Nguyen, Xuan-Duong Nguyen, Kim-Hung Le

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(2022) Deep feature selection for machine learning based attack detection systems.
2022 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT).
Minh-Tri Huynh, Hoang-Trung Le, Xuan-Ha Nguyen, Kim-Hung Le

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(2022) LS-TFP: A LSTM-Based Traffic Flow Prediction Method in Intelligent Internet of Things.
Proceedings of the International Conference on Cognitive and Intelligent Computing: ICCIC 2021, Volume 1.
Nhu-Y Tran-Van, Nhat-Tuan Pham, Kim-Hung Le

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(2022) Towards smart traffic lights based on deep learning and traffic flow information.
2022 9th NAFOSTED Conference on Information and Computer Science (NICS).
Nhu-Y Tran-Van, Xuan-Ha Nguyerr, Kim-Hung Le

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(2022) Towards a Robust and Scalable Information Retrieval Framework in Big Data Context.
2022 9th NAFOSTED Conference on Information and Computer Science (NICS).
Hoang-Long Nguyen, Trong-Nhan Trinh-Huynh, Kim-Hung Le

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(2022) Toward a predictive smart parking system in IoT-enabled cities.
2022 9th NAFOSTED Conference on Information and Computer Science (NICS).
Huy-Tan Thai, Tuyen-Lam Nguyen-Tran, Kim-Hung Le

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(2022) Towards a high-performance threat-aware system for software-defined networks.
2022 International Conference on Advanced Technologies for Communications (ATC).
Van-Tai Nguyen, Van-Chuc Hoang, Xuan-Ha Nguyen, Kim-Hung Le

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(2022) A lightweight machine-learning based wireless link estimation for iot devices.
2022 27th Asia Pacific Conference on Communications (APCC).
Khanh-Hoi Le-Minh, Kim-Hung Le, Quan Le-Trung

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(2022) Empirical performance evaluation of machine learning based DDoS attack detections.
Recent Advances in Internet of Things and Machine Learning: real-World Applications.
Bao-Sam Tran, Thi-Huyen Ho, Thanh-Xuan Do, Kim-Hung Le

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(2022) A real-time evaluation framework for machine learning-based ids.
Recent Advances in Internet of Things and Machine Learning: Real-World Applications.
Anh-Hao Vu, Minh-Quan Nguyen-Khac, Xuan-Thanh Do, Kim-Hung Le

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(2022) Towards Remote Deployment for Intrusion Detection System to IoT Edge Devices.
Recent Advances in Internet of Things and Machine Learning: Real-World Applications.
Xuan-Thanh Do, Kim-Hung Le

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(2021) Odlie: On-demand deep learning framework for edge intelligence in industrial internet of things.
2021 8th NAFOSTED Conference on Information and Computer Science (NICS).
Khanh-Hoi Le-Minh, Kim-Hung Le

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(2021) LS-SPP: A LSTM-Based Solar Power Prediction Method from Weather Forecast Information.
2021 8th NAFOSTED Conference on Information and Computer Science (NICS).
Nhat-Tuan Pham, Nhu-Y Tran-Van, Kim-Hung Le

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(2021) An ensemble feature selection algorithm for machine learning based intrusion detection system.
2021 8th NAFOSTED Conference on Information and Computer Science (NICS).
Phuoc-Cuong Nguyen, Quoc-Trung Nguyen, Kim-Hung Le

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(2021) Artificial cognition for early leaf disease detection using vision transformers.
2021 International conference on advanced technologies for communications (ATC).
Huy-Tan Thai, Nhu-Y Tran-Van, Kim-Hung Le

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(2021) AirGen: GAN-based synthetic data generator for air monitoring in Smart City.
2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI).
Khanh-Hoi Le-Minh, Kim-Hung Le

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(2020) Dlase: A light-weight framework supporting deep learning for edge devices.
2020 4th International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom).
Khanh-Hoi Le-Minh, Kim-Hung Le, Quan Le-Trung

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(2020) User-driven error detection for time series with events.
2020 IEEE 36th International Conference on Data Engineering (ICDE).
Kim-Hung Le, Paolo Papotti

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(2019) WoT-AD: A descriptive language for group of things in massive IoT.
2019 IEEE 5th World Forum on Internet of Things (WF-IoT).
Kim-Hung Le, Soumya Kanti Datta, Christian Bonnet, Francois Hamon

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(2017) A scalable IoT framework to design logical data flow using virtual sensor.
2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).
Le Kim-Hung, Soumya Kanti Datta, Christian Bonnet, François Hamon, Alexandre Boudonne

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(2017) An industrial iot framework to simplify connection process using system-generated connector.
2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI).
Le Kim-Hung, Soumya Kanti Datta, Christian Bonnet, Francois Hamon, Alexandre Boudonne

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