(OLD) Data Generation for Honeypot

[aosei37]

This issue describes the process of generating the data for the honeypot

[aosei37]

There were two parts for the data generation:

1. Populating an array of json files that each contained information needed for the files and database containers
2. From the information creating fake invoices (files) and csv files containing records (database)

[aosei37]

Populating Information for Files Container

Using Python's Faker library, the items generated for each customer invoice were:

• First and Last name
• Place of Residence
• List of items bought
• Quantity per item
• Unit cost per item
• Total cost for the invoice

From the listed information, fake customer invoices were created for each "customer" with the business name (Katra Inc) and the corresponding info

Populating Information for Database Container

With Python's Faker Library, the items generated for the database:

• First and Last name
• Place of Residence
• Email
• Phone number
• Birthdate
• Years as a member to the company

From the Lists information, fake csv records were generated totaling 1000 entries spread across 5 files

[aosei37]

All created directories were made in the /home directory of each container to place the generated files