This is a repository to hold the code for the forensic related project of our college. This project belongs to the topic Cyber Forensics. We aim to identify anomaly in a system by reading the syscall() data.
Others
We collected these dataset to train our classifier. The sources are linked.
- dataset1
- dataset2
- dataset3
But in addition to that we also made our own dataset and preprocessed it for everyone to use.
We constructed this dataset by attacking cloud based virtual machines by these attack tools. These values are labelled 1. The other
We are using 4 different kinds of classifiers
4 fully connected layer were used as multi layer perceptron. The shape of the layer are ----. We chose this model as a very basic comparative to the high end models. Also to see how MLP performs with the syscall() data.
Recurrent Neural Networks are models built to understand time series data. We treat the system calls as time dependent data and input it in the RNN.
few lines about lstms and how are we using them in our project
few lines about lstms and how are we using them in our project
few lines about lstms and how are we using them in our project