research
∙
02/19/2021
A flow-based IDS using Machine Learning in eBPF
eBPF is a new technology which allows dynamically loading pieces of code...
share
research
∙
10/16/2020
Optimizing Congestion Control Through Fair Queuing Detection
Low delay is an explicit requirement for applications such as cloud gami...
research
∙
07/06/2020
LFQ: Online Learning of Per-flow Queuing Policies using Deep Reinforcement Learning
The increasing number of different, incompatible congestion control algo...
research
∙
02/10/2020
SparseIDS: Learning Packet Sampling with Reinforcement Learning
Recurrent Neural Networks (RNNs) have been shown to be valuable for cons...
research
∙
12/20/2019
Explainability and Adversarial Robustness for RNNs
Recurrent Neural Networks (RNNs) yield attractive properties for constru...
research
∙
10/23/2019
Cocoa: Congestion Control Aware Queuing
Recent model-based congestion control algorithms such as BBR use repeate...
research
∙
09/17/2019
Walling up Backdoors in Intrusion Detection Systems
Interest in poisoning attacks and backdoors recently resurfaced for Deep...
research
∙
11/21/2018