Aulia Arif Wardana
aulwardana
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Example of producer and consumer of RabbitMQ over Tor Network messages in Golang
Ensemble averaging deep neural network for botnet detection in heterogeneous Internet of Things devices
Collaborative intrusion detection using weighted ensemble averaging deep neural network for coordinated attack detection in heterogeneous network
Python-based Collaborative Intrusion Detection Simulation in Integrated Networks
Repositories
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Python-based Collaborative Intrusion Detection Simulation in Integrated Networks
a Collaborative Intrusion Detection System (CIDS) named Stacked Network Integration CIDS (SNI-CIDS), which Modified Ensemble Stacking Deep Neural Networks (MES-DNN) to enhance intrusion detection in heterogeneous networks.
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Ensemble averaging deep neural network for botnet detection in heterogeneous Internet of Things devices
Access Control middleware for device (node and gateway) to cloud connection in Internet of Things Technology based on MQTT Protocol using Authentication Server and Secure Protocol. This middleware ideally implement in fog computing architecture.
This research explores using a Federated Random Forest (FRF) model with feature selection techniques to improve collaborative intrusion detection in Internet of Things (IoT) settings.
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Collaborative intrusion detection using weighted ensemble averaging deep neural network for coordinated attack detection in heterogeneous network
Example of producer and consumer of RabbitMQ over Tor Network messages in Golang
Simulator for Collaborative Intrusion Detection System based on Federated Learning
CoAt-Set (Coordinated Attack Dataset) on Heterogeneous Computer Network
Sample of implementation CoAt-Set for Federated and Ensemble Learning
Collaborative Botnet Detection in Heterogeneous Devices of Internet of Things using Federated Deep Learning
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Putting MQTT Attack scenarios into practice
Sample app which publish and subscribe to/from a CloudMQTT broker
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Go client for AMQP (0.9.1) over Tor Network
FMP (Flood Monitoring Platform)
You can see the demo from the platform in here :
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