Book Image

Oracle Database 12c Security Cookbook

By : Zoran Pavlovic, Maja Veselica
Book Image

Oracle Database 12c Security Cookbook

By: Zoran Pavlovic, Maja Veselica

Overview of this book

Businesses around the world are paying much greater attention toward database security than they ever have before. Not only does the current regulatory environment require tight security, particularly when dealing with sensitive and personal data, data is also arguably a company’s most valuable asset - why wouldn’t you want to protect it in a secure and reliable database? Oracle Database lets you do exactly that. It’s why it is one of the world’s leading databases – with a rich portfolio of features to protect data from contemporary vulnerabilities, it’s the go-to database for many organizations. Oracle Database 12c Security Cookbook helps DBAs, developers, and architects to better understand database security challenges. Let it guide you through the process of implementing appropriate security mechanisms, helping you to ensure you are taking proactive steps to keep your data safe. Featuring solutions for common security problems in the new Oracle Database 12c, with this book you can be confident about securing your database from a range of different threats and problems.
Table of Contents (18 chapters)
Oracle Database 12c Security Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface

Introduction


Oracle Data Redaction is a new security feature, introduced in Oracle Database 12c. From a licensing viewpoint, it is part of the Advanced Security Option (only available as an option for Oracle Database Enterprise Edition). However, afterwards, Oracle decided to make it available in Oracle Database 11g as well (only in version 11.2.0.4). The main idea behind this feature is to mask (hide/redact) some (sensitive) data from end-users. Having this in mind, it is logical that you will primarily use this security solution in a production environment.

Note

Oracle Data Redaction and Oracle Data Masking are both used to mask sensitive data, but these solutions are completely different—from the way they are designed (how they work) to their target implementation use cases. Oracle Data Masking enables organizations to use production data in development and test environments by changing production data with realistic data (transformation is done by using masking rules).

Oracle Data Redaction...