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12/02/2022
5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated over 5G Wireless Network
With a plethora of new connections, features, and services introduced, t...
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04/26/2021
Improving Botnet Detection with Recurrent Neural Network and Transfer Learning
Botnet detection is a critical step in stopping the spread of botnets an...
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04/01/2020
Botnet Detection Using Recurrent Variational Autoencoder
Botnets are increasingly used by malicious actors, creating increasing t...
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10/28/2019
An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection
While variable selection is essential to optimize the learning complexit...
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06/04/2019
A Hybrid Cache Architecture for Meeting Per-Tenant Performance Goals in a Private Cloud
The in-memory cache system is an important component in a cloud for the ...
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02/02/2019
Learning-based Dynamic Cache Management in a Cloud
Caches are an important component of modern computing systems given thei...
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10/03/2018