Updated on 2023-03-02 GMT+08:00

Creating a Data Masking Task for MRS

Create a data masking task for a data set to mask sensitive information.

This section describes how to create a data masking task for MRS.

Prerequisites

  • DSC has been allowed to access the MRS assets.
  • You have added MRS assets. For details, see Adding MRS Assets.
  • Sensitive data has been identified. For details, see Creating a Task.

Procedure

  1. Log in to the management console.
  2. Click in the upper left corner of the management console and select a region or project.
  3. In the navigation pane on the left, click and choose Security > Data Security Center.
  4. In the navigation pane, choose Data Masking. On the displayed page, click the MRS Data Masking tab.

    Figure 1 MRS data masking

  5. In the MRS tab, click to enable MRS data masking.
  6. Click Create Task and configure required parameters. Table 1 describes the parameters.

    Figure 2 Configuring the data source
    Table 1 Parameter description

    Parameter

    Description

    Task Name

    You can customize the name of a data masking task.

    The task name must meet the following requirements:
    • Contain 1 to 255 characters.
    • Consist of letters, digits, underscores (_), and hyphens (-).

    Select Data Source

    Select a data source. Only MRS_HIVE is available.

    Data Source

    NOTE:

    If no data is available, click Add Database to add database assets. For details, see Adding MRS Assets.

    Database Instance: Select the database instance where the data you want to mask is located.

    Database: Select the name of the database where the data you want to mask is located.

    Table Name: Select the name of the database table where the data you want to mask is located.

    Data Type: If you select the check box, data in this column is copied to the target database.

    The target Data Type and Risk Level of the data are also displayed.

  7. Click Next.

    Figure 3 Setting a masking algorithm
    1. Select the data columns you want to mask.
    2. Select a data masking algorithm. For details about data masking algorithms, see Configuring a Data Masking Rule.

  8. Click Next.

    Figure 4 Configuring data masking period

    Select and set the execution period of a masking task.

    • Manual: Manually enable a masking task and execute it based on masking rules.
    • Hourly: Execute a data masking task every several hours.

      Example: If the masking task needs to be executed every two hours, set this parameter to 02:00.

    • Daily: Execute a data masking task at a specified time every day.

      Example: If the masking task needs to be executed at 12:00 every day, set this parameter to 12:00:00.

    • Weekly: Execute a data masking task at a specified time every week.

      Example: If the masking task needs to be executed at 12:00 every Monday, set this parameter to 12:00:00 every Monday.

    • Monthly: Execute a data masking task at a specified time on a specified day every month.

      Example: If the masking task needs to be executed at 12:00 on the 12th day of each month, set this parameter to 12:00:00 12th day of every month.

      If you want to execute a data masking task on the 31st day of each month, the system automatically executes the task on the last day of every month.

  9. Click Next.

    Figure 5 Setting target data
    1. Select a database instance and database name, and enter the database table name.

      If the entered data table name already exists, the system updates the data table in the target database.

      If the entered data table name does not exist, the system automatically creates a data table with the same name in the target database.

      Do not fill in an existing service data table. Otherwise, services may be affected.

    2. Set the column name of the target data type.

      By default, the system generates a name that is the same as the name of the data source column. You can retain the default name or change it as required.

  10. Click Finish.