VizNN : Visual Data Augmentation with Convolutional Neural Networks for Cybersecurity Investigation


This week, let’s dive in the use of an unusual method to reach a goal you know much about: automatic attack detection.


The work presented in this article uses a neural network method to graphically represent event logs and learn from them. Once the graphical representation is obtained, the images can be studied using the most relevant newspaper attributes to look for recurring patterns to identify habitual and inhabitual behaviour.


This approach is tested against the DoH attack (DNS over HTTPS) and obtains promising results !



https://arxiv.org/pdf/2112.05657.pdf#page=203

Recent Posts

See All

This week, we are not interested in a research article but rather a blog post. And a good one! Since the arrival of the Transformer architecture in 2012, transformer-based models have come a long way

Malizen cybersecurity operations france

Follow our adventures !

  • Discorde
  • Gazouillement
  • Linkedin

Subscribe to our newsletter

Be notified every time we have news!

Thanks for subscribing !

By subscribing, I agree to the Terms of Use and Privacy Policy.