Duc-Minh Ngo

According to our database, Duc-Minh Ngo authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Dragon_Pi: IoT Side-Channel Power Data Intrusion Detection Dataset and Unsupervised Convolutional Autoencoder for Intrusion Detection.

Dominic Lightbody, Duc-Minh Ngo, Andriy Temko, Colin C. Murphy, Emanuel M. Popovici

Future Internet, March, 2024

2023

Attacks on IoT: Side-Channel Power Acquisition Framework for Intrusion Detection.

Dominic Lightbody, Duc-Minh Ngo, Andriy Temko, Colin C. Murphy, Emanuel M. Popovici

Future Internet, May, 2023

HH-NIDS: Heterogeneous Hardware-Based Network Intrusion Detection Framework for IoT Security.

Duc-Minh Ngo, Dominic Lightbody, Andriy Temko, Cuong Pham-Quoc, Ngoc-Thinh Tran, Colin C. Murphy, Emanuel M. Popovici

Future Internet, 2023

High-performance anomaly intrusion detection system with ensemble neural networks on reconfigurable hardware.

Tran Ngoc Thinh, Tran Hoang Quoc Bao, Duc-Minh Ngo, Cuong Pham-Quoc

Concurr. Comput. Pract. Exp., 2023

2021

FPGA Hardware Acceleration Framework for Anomaly-based Intrusion Detection System in IoT.

Duc-Minh Ngo, Andriy Temko, Colin C. Murphy, Emanuel M. Popovici

Proceedings of the 31st International Conference on Field-Programmable Logic and Applications, 2021

2020

Heterogeneous Hardware-based Network Intrusion Detection System with Multiple Approaches for SDN.

Duc-Minh Ngo, Cuong Pham-Quoc, Tran Ngoc Thinh

Mob. Networks Appl., 2020

2019

High-Throughput Machine Learning Approaches for Network Attacks Detection on FPGA.

Duc-Minh Ngo, Binh Tran-Thanh, Truong Dang, Tuan Tran, Tran Ngoc Thinh, Cuong Pham-Quoc

Proceedings of the Context-Aware Systems and Applications, and Nature of Computation and Communication, 2019

2018

An Efficient High-Throughput and Low-Latency SYN Flood Defender for High-Speed Networks.

Duc-Minh Ngo, Cuong Pham-Quoc, Tran Ngoc Thinh

Secur. Commun. Networks, 2018