In the last post, we discussed dimensionality reduction techniques, intending to reduce the amount of memory required to run an Hoeffding Tree model over the CIC-IoT-2023 dataset using a Raspberry ...
In the last two posts, we have been conducting experiments in a more powerful machine to understand and compare its results with our observations with the Raspberry Pi, our target device in this pr...
In the last post, I reported the results of performing a DDoS attack against a more powerful machine, understanding the impact on performance and effectiveness of the hardware improvement compared ...
In post #10 from this series on my scientific initiation research, I discussed the results of simulating a DDoS attack against a Raspberry Pi 3B, trying to perform the packet sniffing on the live n...
As summarized in the introduction of post 10, in the last posts I described experiments we conducted evaluating the performance of a Raspberry Pi model 3B, a computer with limited processing power,...
In the work plan for this research project, one of the defined focuses of study was neural network models, chosen to perform the inference on network traffic in order to detect anomalies in it and,...
This series of tests evaluating the Raspberry Pi with Python sniffing libraries started in post 06, where I tested the performance of this device handling our baseline machine learning models; in p...
Expanding our tests, in this post I explore whether packet length is an influential factor in the performance of the Raspberry Pi running the Python libraries that we have been studying in the last...
In the last two posts in this research context, I reported the results of different tests on a Raspberry Pi verifying its performance working with machine learning models and sniffing network packe...
In the last post reporting the contributions Felipe and I did to the GNOME Calendar project, we proposed some possible next steps and chose to follow different paths to close out this semester: I c...