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Oracle Database 12c Security Cookbook

You're reading from   Oracle Database 12c Security Cookbook Secure your Oracle Database 12c with this valuable Oracle support resource, featuring more than 100 solutions to the challenges of protecting your data

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Product type Paperback
Published in Jun 2016
Publisher Packt
ISBN-13 9781782172123
Length 388 pages
Edition 1st Edition
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Authors (3):
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Zoran Pavlovic Zoran Pavlovic
Author Profile Icon Zoran Pavlovic
Zoran Pavlovic
Maja Veselica Maja Veselica
Author Profile Icon Maja Veselica
Maja Veselica
Maja Veselica & Zoran Pavlovic Maja Veselica & Zoran Pavlovic
Author Profile Icon Maja Veselica & Zoran Pavlovic
Maja Veselica & Zoran Pavlovic
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Toc

Table of Contents (13) Chapters Close

Preface 1. Basic Database Security FREE CHAPTER 2. Security Considerations in Multitenant Environment 3. PL/SQL Security 4. Virtual Private Database 5. Data Redaction 6. Transparent Sensitive Data Protection 7. Privilege Analysis 8. Transparent Data Encryption 9. Database Vault 10. Unified Auditing 11. Additional Topics 12. Appendix – Application Contexts

Creating a sensitive type


To create a sensitive type, you can use Oracle Enterprise Manager or a command-line interface. In this recipe, you'll use the command-line interface to execute a PL/SQL procedure. You decided that you want to protect e-mail addresses stored in your database, so first you are going to create sensitive type email_type.

Getting ready

To complete this recipe, you'll need an existing user who can create a sensitive type (for example, c##zoran).

How to do it...

  1. Connect to the database (for example, pdb1) as a user who has appropriate privileges (for example, c##zoran):

    $ sqlplus c##zoran@pdb1
    
  2. Create a sensitive type (for example, email_type):

    SQL> BEGIN 
     DBMS_TSDP_MANAGE.ADD_SENSITIVE_TYPE ( 
     sensitive_type => '<your_type>', 
     user_comment=> '<description>');
     END;
     /
    

    Figure 2 - Creating a sensitive type

How it works...

In step 2, you created a sensitive type (for example, email_type), which you can use to consistently mask (protect), in our case, e-mail...

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