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12/15/2022
NBC-Softmax : Darkweb Author fingerprinting and migration tracking
Metric learning aims to learn distances from the data, which enhances th...
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10/06/2022
Network Intrusion Detection System in a Light Bulb
Internet of Things (IoT) devices are progressively being utilised in a v...
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07/14/2022
Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks
This paper investigates Graph Neural Networks (GNNs) application for sel...
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03/20/2022
Inspection-L: A Self-Supervised GNN-Based Money Laundering Detection System for Bitcoin
Criminals have become increasingly experienced in using cryptocurrencies...
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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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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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01/27/2021
Towards a Standard Feature Set of NIDS Datasets
Network Intrusion Detection Systems (NIDSs) datasets are essential tools...
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09/20/2020
