May 24, 2019 · We test Tiresias on a dataset of 3.4 billion security events collected from a commercial intrusion prevention system, and show that our approach ...
We test Tiresias xspace on a dataset of 3.4 billion security events collected from a commercial intrusion prevention system, and show that our approach is ...
In this paper, we go beyond predicting a binary outcome on security events, but we rather want to predict the exact actions that will be taken by an attacker ...
This work presents Tiresias xspace, a system that leverages Recurrent Neural Networks (RNNs) to predict future events on a machine, based on previous ...
We test Tiresias on a dataset of 3.4 billion security events collected from a commercial intrusion prevention system, and show that our approach is effective in ...
Duration: 23:47
Posted: Jan 29, 2019
Posted: Jan 29, 2019
This repository contains the code for for Tiresias that was implemented as part of the IEEE S&P DeepCASE paper [PDF], it provides a Pytorch implementation ...
People also ask
What is Tiresias predicting?
What is deep learning in security?
Welcome to Tiresias's documentation! . Tiresias provides a pytorch implementation of Tiresias: Predicting Security Events Through Deep Learning.
Pytorch implementation of Tiresias: Predicting Security Events Through Deep Learning ... from system logs through deep learning. Python 176 44 · AppScanner ...
To strive for a fine-grained prediction with general applicability, Tiresias (Shen et al., 2018) and ALEAP (Fan et al., 2019) focused on security event ...