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04/28/2023
FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems
This paper presents the FlowTransformer framework, a novel approach for ...
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12/15/2022
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection
Machine Learning (ML) approaches have been used to enhance the detection...
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07/19/2022
XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics
In this paper, we proposed XG-BoT, an explainable deep graph neural netw...
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04/08/2022
HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection
The continuous strengthening of the security posture of IoT ecosystems i...
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01/19/2022
Graph Neural Network-based Android Malware Classification with Jumping Knowledge
This paper presents a new Android malware detection method based on Grap...
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11/04/2021
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection
The uses of Machine Learning (ML) in detection of network attacks have b...
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09/30/2021
From Zero-Shot Machine Learning to Zero-Day Attack Detection
The standard ML methodology assumes that the test samples are derived fr...
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08/29/2021
Feature Analysis for ML-based IIoT Intrusion Detection
Industrial Internet of Things (IIoT) networks have become an increasingl...
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08/28/2021
Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks
The tremendous numbers of network security breaches that have occurred i...
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04/15/2021
An Explainable Machine Learning-based Network Intrusion Detection System for Enabling Generalisability in Securing IoT Networks
Machine Learning (ML)-based network intrusion detection systems bring ma...
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03/30/2021
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System
This paper presents a new network intrusion detection system (NIDS) base...
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03/30/2021
Exploring Edge TPU for Network Intrusion Detection in IoT
This paper explores Google's Edge TPU for implementing a practical netwo...
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01/27/2021
Towards a Standard Feature Set of NIDS Datasets
Network Intrusion Detection Systems (NIDSs) datasets are essential tools...
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11/18/2020
