Cyber Intrusions Analysis

Project Goals

Collect, tranform, and analyze popular data attacks to be better informed and provide insights to protect organizations againts cyber attacks.

Tools used:

• pandas
• numpy
• psycopg2
• sqlalchemy
• seaborn
• matplotlib
• sklearn
• stats
• tableau

  Methodology

• Collect and Clean data
• Analysis to identify patterns
• Apply machine learning models
• Database creation and connection
• Create visualizations
• Conclude findings

  Visuals

For comprehensive visuals check out our Tableau dashboard here: https://public.tableau.com/app/profile/ebony.douglas/viz/Cyber_CapstoneTableau/Dashboard1

Results

Breach type: THEFT as #1 Breach location via: LAPTOP as #1

TOP 3 states with highest number of breaches:

• VA 5,110,781
• CA 4,672,091
• IL 4,402,934

KEYWORDS in organization name: "Health", "Hospital","M.D"

"M.D" typically refers to small privately onwed practices.

Next Actions

• Collect data in the educational or non-profit sector to get a better idea of what the data may look like for an organization like The Knowledge House
• Research types of security measures small to medium organizations have, merge with cyber breach data to determine best course of action
• Fine tune machine learning models by feature engineering and scaling data