nidhi1609-bit's starred repositories
Aposemat-IoT23-Network-Classification
Binary classification of network data using machine learning algorithms
generative-adversarial-networks
GANs Notebooks
California-Housing-Price-Prediction
Build a model of housing prices to predict median house values in California using the provided dataset. Train the model to learn from the data to predict the median housing price in any district, given all the other metrics. Predict housing prices based on median_income and plot the regression chart for it.
Anomaly-Detection-IoT23
A research project of anomaly detection on dataset IoT-23
awesome-adversarial-machine-learning
A curated list of awesome adversarial machine learning resources
Cyber-Attack-Attribution-with-Machine-Learning
Cyber attack attribution is the process of attempting to trace back a piece of code or malware to a perpetrator of a cyberattack. As cyber attacks have become more prevalent, cyber attack attribution becomes more valuable. The process of cyber attack attribution can be done using reverse engineering. From the metadata of the malware executable file, we can gather data such as date of creation, variable names used, and what library calls are imported. This information can be used as features for attribution analysis. We need to extract the features from malware that can be used for attribution and analyse them using some technique to attribute the attacks.