2 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
Hunter in the Dark: Discover Anomalous Network Activity Using Deep Ensemble Network
Shiyi Yang, Hui Guo, Nour Moustafa
Machine learning (ML)-based intrusion detection systems (IDSs) play a critical role in discovering unknown threats in a large-scale cyberspace. They have been adopted as a mainstre…
Holmes: An Efficient and Lightweight Semantic Based Anomalous Email Detector
Peilun Wu, Hui Guo
Email threat is a serious issue for enterprise security. The threat can be in various malicious forms, such as phishing, fraud, blackmail and malvertisement. The traditional anti-s…
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…