66 citations · 90 across the 5 of their papers we have counts for
5 papers
DualNet: Locate Then Detect Effective Payload with Deep Attention Network
Shiyi Yang, Peilun Wu, Hui Guo
Network intrusion detection (NID) is an essential defense strategy that is used to discover the trace of suspicious user behaviour in large-scale cyberspace, and machine learning (…
Densely Connected Residual Network for Attack Recognition
Peilun Wu, Nour Moustafa, Shiyi Yang +1
High false alarm rate and low detection rate are the major sticking points for unknown threat perception. To address the problems, in the paper, we present a densely connected resi…
Pelican: A Deep Residual Network for Network Intrusion Detection
Peilun Wu, Hui Guo, Nour Moustafa
One challenge for building a secure network communication environment is how to effectively detect and prevent malicious network behaviours. The abnormal network activities threate…
LuNet: A Deep Neural Network for Network Intrusion Detection
Peilun Wu, Hui Guo
Network attack is a significant security issue for modern society. From small mobile devices to large cloud platforms, almost all computing products, used in our daily life, are ne…
A Transfer Learning Approach for Network Intrusion Detection
Peilun Wu, Hui Guo, Richard Buckland
Convolution Neural Network (ConvNet) offers a high potential to generalize input data. It has been widely used in many application areas, such as visual imagery, where comprehensiv…