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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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09/20/2021
A Deep Learning-based Penetration Testing Framework for Vulnerability Identification in Internet of Things Environments
The Internet of Things (IoT) paradigm has displayed tremendous growth in...
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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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05/19/2021
Hunter in the Dark: Discover Anomalous Network Activity Using Deep Ensemble Network
Machine learning (ML)-based network intrusion detection system (NIDS) pl...
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02/09/2021
Security and Privacy for Artificial Intelligence: Opportunities and Challenges
The increased adoption of Artificial Intelligence (AI) presents an oppor...
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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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12/08/2020
Mitigating the Impact of Adversarial Attacks in Very Deep Networks
Deep Neural Network (DNN) models have vulnerabilities related to securit...
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12/08/2020
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models
Deep learning algorithms have been recently targeted by attackers due to...
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11/18/2020
NetFlow Datasets for Machine Learning-based Network Intrusion Detection Systems
Machine Learning (ML)-based Network Intrusion Detection Systems (NIDSs) ...
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10/04/2020
Data Analytics-enabled Intrusion Detection: Evaluations of ToN_IoT Linux Datasets
With the widespread of Artificial Intelligence (AI)- enabled security ap...
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10/04/2020
Federated TON_IoT Windows Datasets for Evaluating AI-based Security Applications
Existing cyber security solutions have been basically developed using kn...
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08/05/2020
Densely Connected Residual Network for Attack Recognition
High false alarm rate and low detection rate are the major sticking poin...
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05/02/2020
Enhancing network forensics with particle swarm and deep learning: The particle deep framework
The popularity of IoT smart things is rising, due to the automation they...
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11/02/2018
Towards the Development of Realistic Botnet Dataset in the Internet of Things for Network Forensic Analytics: Bot-IoT Dataset
The proliferation of IoT systems, has seen them targeted by malicious th...
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11/08/2017
Collaborative Anomaly Detection Framework for handling Big Data of Cloud Computing
With the ubiquitous computing of providing services and applications at ...
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11/08/2017
Privacy Preservation Intrusion Detection Technique for SCADA Systems
Supervisory Control and Data Acquisition (SCADA) systems face the absenc...
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11/08/2017
Probability Risk Identification Based Intrusion Detection System for SCADA Systems
. As Supervisory Control and Data Acquisition (SCADA) systems control se...
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11/08/2017
Towards Developing Network forensic mechanism for Botnet Activities in the IoT based on Machine Learning Techniques
The IoT is a network of interconnected everyday objects called things th...
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11/08/2017