CS4035 Cyber Data Analytics

Assignment 1 - Fraud Detection

After completing this assignment, you will be able to:

1. Correctly apply machine learning methods to real data
2. Modify machine learning algorithms to deal with class imbalance
3. Manipulate data to protect people’s privacy
4. Analyze the outcomes of machine learning for fraud detection

Assignment 2 - SCADA

After completing this assignment, you will be able to:

1. Correctly apply machine learning methods to sequential data
2. Detect anomalies in multivariate data
3. Detect anomalies in continuous and discrete sequential data
4. Evaluate the performance of anomaly detection methods

Assignment 3 - Data Stream Mining

After completing this assignment, you will be able to:

1. Use sampling and hashing to create approximations from large data streams.
2. Build a locality sensitive hashing scheme for fast distance computations.
3. Build methods for fingerprinting and profiling sequential behaviours.
4. Successfully detect botnets in network data.

Assignment 4 - Adversarial ML

After completing this assignment, you will be able to:

1. Attack classifiers to avoid detection.
2. Defend against such attacks by making classifiers more robust.