Van Loi Cao

22 papers A 1B 1Journal 8Unranked 12
YearRankTypeTitle / Venue / Authors
2024 — conf
Graphish: Advanced Phishing URL Detection via Graph-Based Embeddings.
KSE
Van Hoan Do, Thi Le Vuong, Van Loi Cao, Thi Phuong Lan Tran, Tien Dung Pham, Van Dinh Bui
2024 J jnl
Reliable Pilot Search Method for Enhancing BER Performance in Underwater Acoustic OFDM Systems with MMSE Estimator.
Int. J. Wirel. Inf. Networks
Nga Nguyen Thi, Anh Huy Phan, Van Loi Cao, Pham Thanh Hiep
2023 — conf
Deep Clustering Based Latent Representation for IoT Malware Detection.
ICCAIS
Huu Noi Nguyen, Nguyen Ngoc Tran, Van Loi Cao
2023 — conf
Few-Shot Learning with Discriminative Representation for Cyberattack Detection.
KSE
Van Loi Cao, Manh Tuan Nguyen, Trang Dang Le Dinh
2022 J jnl
Denoising Latent Representation with SOMs for Unsupervised IoT Malware Detection.
SN Comput. Sci.
Huu Noi Nguyen, Nguyen Ngoc Tran, Tuan Hao Hoang, Van Loi Cao
2022 J jnl
Learning Latent Representation for IoT Anomaly Detection.
IEEE Trans. Cybern.
Ly Vu, Van Loi Cao, Quang Uy Nguyen, Diep N. Nguyen, Dinh Thai Hoang, Eryk Dutkiewicz
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
2021 — conf
Feature Representation of AutoEncoders for Unsupervised IoT Malware Detection.
FDSE
Huu Noi Nguyen, Van Cuong Nguyen, Nguyen Ngoc Tran, 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 — conf
A Clustering-based Shrink AutoEncoder for Detecting Anomalies in Intrusion Detection Systems.
KSE
Cong Thanh Bui, Van Loi Cao, Minh Hoang, Quang Uy Nguyen
2019 — conf
Learning Latent Distribution for Distinguishing Network Traffic in Intrusion Detection System.
ICC
Ly Vu, Van Loi Cao, Quang Uy Nguyen, Diep N. Nguyen, Dinh Thai Hoang, Eryk Dutkiewicz
2019 J jnl
Learning Neural Representations for Network Anomaly Detection.
IEEE Trans. Cybern.
Van Loi Cao, Miguel Nicolau, James McDermott
2018 J jnl
One-class Collective Anomaly Detection based on Long Short-Term Memory Recurrent Neural Networks.
CoRR
Nga Nguyen Thi, Van Loi Cao, Nhien-An Le-Khac
2018 — conf
Semantics Based Substituting Technique for Reducing Code Bloat in Genetic Programming.
SoICT
Thi Huong Chu, Quang Uy Nguyen, Van Loi Cao
2017 J jnl
Collective Anomaly Detection based on Long Short Term Memory Recurrent Neural Network.
CoRR
Loïc Bontemps, Van Loi Cao, James McDermott, Nhien-An Le-Khac
2017 J jnl
Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Datasets.
CoRR
Van Loi Cao, Nhien-An Le-Khac, Miguel Nicolau, Michael O'Neill, James McDermott
2017 — conf
Late-acceptance and step-counting hill-climbing GP for anomaly detection.
GECCO (Companion)
Van Loi Cao, Miguel Nicolau, James McDermott
2017 J jnl
One-Class Collective Anomaly Detection Based on LSTM-RNNs.
Trans. Large Scale Data Knowl. Centered Syst.
Nga Nguyen Thi, Van Loi Cao, Nhien-An Le-Khac
2016 A conf
A Hybrid Autoencoder and Density Estimation Model for Anomaly Detection.
PPSN
Van Loi Cao, Miguel Nicolau, James McDermott
2016 — conf
Collective Anomaly Detection Based on Long Short-Term Memory Recurrent Neural Networks.
FDSE
Loïc Bontemps, Van Loi Cao, James McDermott, Nhien-An Le-Khac
2016 — conf
Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Data.
EvoApplications (1)
Van Loi Cao, Nhien-An Le-Khac, Michael O'Neill, Miguel Nicolau, James McDermott
2016 B conf
One-Class Classification for Anomaly Detection with Kernel Density Estimation and Genetic Programming.
EuroGP
Van Loi Cao, Miguel Nicolau, James McDermott