405 citations · 1.8k across the 23 of their papers we have counts for
17 papers · 1 filter
Benchmarking the Benchmark -- Analysis of Synthetic NIDS Datasets
Siamak Layeghy, Marcus Gallagher, Marius Portmann
Network Intrusion Detection Systems (NIDSs) are an increasingly important tool for the prevention and mitigation of cyber attacks. A number of labelled synthetic datasets generated…
Exploring Edge TPU for Network Intrusion Detection in IoT
Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Mohanad Sarhan +2
This paper explores Google's Edge TPU for implementing a practical network intrusion detection system (NIDS) at the edge of IoT, based on a deep learning approach. While there are…
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan +2
This paper presents a new Network Intrusion Detection System (NIDS) based on Graph Neural Networks (GNNs). GNNs are a relatively new sub-field of deep neural networks, which can le…
Towards a Standard Feature Set for Network Intrusion Detection System Datasets
Mohanad Sarhan, Siamak Layeghy, Marius Portmann
Network Intrusion Detection Systems (NIDSs) are important tools for the protection of computer networks against increasingly frequent and sophisticated cyber attacks. Recently, a l…
Network Traffic Control for Multi-homed End-hosts via SDN
Anees Al-Najjar, Furqan Hameed Khan, Marius Portmann
Software Defined Networking (SDN) is an emerging technology of efficiently controlling and managing computer networks, such as in data centres, Wide Area Networks (WANs), as well a…
NetFlow Datasets for Machine Learning-based Network Intrusion Detection Systems
Mohanad Sarhan, Siamak Layeghy, Nour Moustafa +1
Machine Learning (ML)-based Network Intrusion Detection Systems (NIDSs) have proven to become a reliable intelligence tool to protect networks against cyberattacks. Network data fe…