Machine Learning and Data Analytics to Prevent APT Assignment
Advanced persistent threats (APTs) have been thrust into the spotlight due to their advanced tactics, techniques, procedures, and tools. These APTs are resourced unlike other types of cyber threat actors.
Your chief technology officer (CTO) has formed teams to each develop a detailed analysis and presentation of a specific APT, which she will assign to the team.
This is a team assignment, and the team members that were selected by the instructor in the previous assignment will work together. It is up to the team members to decide who is responsible for contributing to the sections of the paper. Remember, if a member fails to complete his or her part of the work, the team is still responsible for all sections.
Part 5: Using Machine Learning and Data Analytics to Prevent APT
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- Describe how machine learning and data analytics could have detected and/or prevented the APT (APF in attachment) you analyzed had the victim organization deployed these technologies at the time of the event. Be specific.
Notes
- Use additional sources of information but also describe the concept in layman’s terms.
- Use visuals where appropriate.
- While quality is valued over quantity, it is expected that a quality paper will result in a minimum length of 3–5 pages.
- You will be assigned an individual grade for this assignment based on your contribution to the overall project.