NIT3202 Data Analytics For Cyber Security-experiments for analytics purposes

1. To apply skills and knowledge acquired throughout the block in classification algorithms and machine learning process.

2. To rationalize the use of machine learning algorithms to process of data effectively and efficiently in big size.

3. To demonstrate ability to use R to perform email classification tasks that are common for corporate security analyst.

4. To scientifically conduct and document machine learning experiments for analytics purposes.

Problem Statement

This is an individual assessment task. Each student is required to submit a report of approximately 1000 words along with exhibits to support findings with respect to the provided malicious and benign websites. This report should consist of:

• Construction of datasets, data pre-processing and features
• Workflow of malicious website detection that describes the process of conducting malicious website detection
• Technical findings of classification results
• Justified discussion of the performance evaluation outcomes for different classifiers

Requirements

To demonstrate your achievement of these goals, you must write a report of at least 1,000 words (1,500 words maximum). Your report should consist of the following chapters:

1. A proper title which matches the contents of your report. (1 points)
2. Your name and student number in the author line. (1 points)