Database Privacy

Data Matching

Data Matching

• Building a profile by combining data from different networks
  • Tax 
  • Credit card records
  • Bank records
  • Phone records
  • Internet history
  • Email
  • Texts

Data Mining

• Finding hidden patterns and trends in large databases
  • Recommendations
  • Profiling
  • Facebook
  • email

Facebook Data

How do we protect privacy?

• Concent
  • Terms of Services
    • Purpose
    • Distribution
    • Length of Storage
    • Security
  • Privacy Policy / Data Poicy
    • Opt-in / Opt-out

Largest Databases

• Amazon
• ChoicePoint
• Sprint
• Google User Data

Security

Authorized access to Data

• Remotely Stored
• In transit
• Local

Ways to Protect data

• Passwords
  • Two step authentication
• Encryption
• Security settings.

Hackers will access data in different ways.

• in transit
• brute force access

Data Integrity

Making sure that data is correct, relevant and up to date

Errors in data can have serious consequences

How can data be wrong?

• Out of Date
• Entered incorrectly
• Transferred from another database (badly)
• Changed accidentally
• Changed deliberately
• Incomplete 
• Totally missing