Van Quan Nguyen

18 papers Journal 4Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Novel deep learning-based IoT network attack detection using magnet loss optimization. Internet Things Chi Duc Luu, Viet Hung Nguyen, Van Quan Nguyen, Ngoc-Son Vu
2025	J	`jnl`	Variational Deep Clustering approaches for anomaly-based cyber-attack detection. J. Netw. Comput. Appl. Van Quan Nguyen, Viet Hung Nguyen, Long Thanh Ngo, Le Minh Nguyen, Nhien-An Le-Khac
2024	—	`conf`	A Cascade Methodology to Evaluate Black-Box Recognition Systems Based on a Copycat Algorithm. VISIGRAPP (2): VISAPP Dinh Cong Nguyen, Tam Le Nhan, Mai Van Hoan, Tuong Quan Nguyen, Van Quan Nguyen, The Cuong Nguyen
2024	J	`jnl`	Deep clustering hierarchical latent representation for anomaly-based cyber-attack detection. Knowl. Based Syst. Van Quan Nguyen, Long Thanh Ngo, Le Minh Nguyen, Viet Hung Nguyen, Nathan Shone
2023	—	`conf`	A Zero-Shot Deep Learning Approach for Unknown IoT Botnet Attack Detection. RIVF Chi Duc Luu, Van Quan Nguyen, Truong Son Pham, Nhien-An Le-Khac
2023	—	`conf`	Deep Nested Clustering Auto-Encoder for Anomaly-Based Network Intrusion Detection. RIVF Van Quan Nguyen, Thanh Long Ngo, Le Minh Nguyen, Viet Hung Nguyen, Nathan Shone
2023	—	`conf`	Hybrid of Deep Auto-Encoder and Maximum Mean Discrepancy for Cyber Reconnaissance Detection. KSE Van Quan Nguyen, Thanh Long Ngo, Le Minh Nguyen, Viet Hung Nguyen, Van Van Nguyen, Thi Hang Nguyen
2023	—	`conf`	Particle Swarm Optimization of Deep Auto-Encoder Network Architectures for Anomaly-based Intrusion Detection Systems. ICCAIS Quoc Trung Tran, Van Quan Nguyen, Thanh Long Ngo
2022	—	`conf`	A Novel Deep Clustering Variational Auto-Encoder for Anomaly-based Network Intrusion Detection. KSE Van Quan Nguyen, Viet Hung Nguyen, Tuan Hao Hoang, Nathan Shone
2021	—	`conf`	Automatically Estimate Clusters in Autoencoder-based Clustering Model for Anomaly Detection. RIVF Van Quan Nguyen, Viet Hung Nguyen, Nhien-An Le-Khac, Van Loi Cao
2020	—	`conf`	Clustering-Based Deep Autoencoders for Network Anomaly Detection. FDSE Van Quan Nguyen, Viet Hung Nguyen, Nhien-An Le-Khac, Van Loi Cao
2019	J	`jnl`	Real-time event detection using recurrent neural network in social sensors. Int. J. Distributed Sens. Networks Van Quan Nguyen, Tien Nguyen Anh, Hyung-Jeong Yang
2018	—	`conf`	Applications of Anomaly Detection Using Deep Learning on Time Series Data. DASC/PiCom/DataCom/CyberSciTech Van Quan Nguyen, Linh Van Ma, Jin-Young Kim, Kwang-Ki Kim, Jinsul Kim
2018	—	`conf`	Audio-based emotion recognition using GMM supervector an SVM linear kernel. ICMLSC Dinh-Son Tran, Hyung-Jeong Yang, Soo-Hyung Kim, Gueesang Lee, Luu Ngoc Do, Ngoc-Huynh Ho, Van Quan Nguyen
2018	—	`conf`	NFV-Based Mobile Edge Computing for Lowering Latency of 4K Video Streaming. ICUFN Linh Van Ma, Van Quan Nguyen, Jaehyung Park, Jinsul Kim
2017	—	`—`	Mapping of a sound environment by a mobile robot. (Cartographie d'un environnement sonore par un robot mobile). Van Quan Nguyen
2017	—	`conf`	Multimodal learning using convolution neural network and Sparse Autoencoder. BigComp Tien Duong Vu, Hyung-Jeong Yang, Van Quan Nguyen, A-Ran Oh, Mi-Sun Kim
2017	—	`conf`	Real-Time Earthquake Detection Using Convolutional Neural Network and Social Data. BigMM Van Quan Nguyen, Hyung-Jeong Yang, Kyungbaek Kim, A-Ran Oh