He explains how to assess and categorize data elements according to sensitivity, regulate access to the various categories of data using database roles, views and stored procedures, and then how to implement a secure data architecture using features such as cell-level encryption, transparent data encryption, one-way encryption, obfuscation, and more.
The battle to secure personal and business data is a tough one, and the consequences of mishandling sensitive data can be severe. Even more damaging than the fines and lawsuits that can be result from non-compliance with regulations, is the loss of customer confidence that results when these breaches of security occur.
Database Administrators must use every weapon and strategy at their disposal in the "war" to protect their sensitive data from would-be hackers, phishers, rumor mongers and identity thieves. Encryption is one of the primary weapons with which this battle can be won.
Table of contents
- Understanding Sensitive Data
- Data Classification and Roles
- Schema Architecture Strategies
- Encryption Basics for SQL Server
- Cell-Level Encryption
- Transparent Data Encryption
- One-Way Encryption
- Obfuscation
- Honeycombing a Database
- Layering Solutions
- Views and Functions Reference
- The HomeLending database
Pages : | 232 |
Size : | 4.0 MB |
Downloads: | 158 |
Created: | 2022-02-03 |
License: | For personal or educational use |
Author(s): | John Magnabosco |
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