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As you can see, factors can play a significant role in application logic codified in your PL/SQL programs and can be integrated into row-level security mechanisms such as Oracle VPD, Oracle OLS, Oracle FGA, and database views The implementation of factors as PL/SQL opens up these possibilities and just about any PL/SQL-based database feature such as database triggers or database jobs
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Identify DBV Realms and Realm Objects Based on Objects
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The next step in the process of designing the DBV security policy is to examine the objects in our security profile to determine where we may have sensitive information that needs to be protected We can identify the following objects: Product Costs Products Sales Organization Sales Management Package User Credentials Social Security Number Salary Commission System Security Package Products Channels Promotions Audit Trail Audit Notifications
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Next, we can ask ourselves whether we can categorize the information by the following criteria: Application and access requirements Content type
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This high-level usage analysis can be done using the information in Table 6-3, with requirements documents such as use case scenarios or UML sequence diagrams providing input into the analysis
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6: Applied Database Vault for Custom Applications
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Object Product Costs Products Channels Promotions Sales Management Package Sales Organization User Credentials Social Security Number Salary Commission System Security Package Audit Trail Audit Notifications TABLE 6-3
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Content Type Sales (SOX compliance) Sales Sales Sales Sales Identity Management Identity Management Identity Management (PII compliance) Identity Management (privacy) Identity Management (privacy) Identity Management System System
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Application Type Sales Management Sales Management Sales Management Sales Management Sales Management Human Resources Human Resources Human Resources Human Resources Human Resources Human Resources Database Database
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Access Requirement Read, Write Read, Write (Read in this use case) Read, Write (Read in this use case) Read, Write (Read in this use case) Read, Write Read Read Prevent Read Prevent Read Prevent Read Read Write Read, Write
Information for High-level Usage Analysis
Table 6-3 provides an interesting analysis in that we can clearly see a set of content type or application categories that will provide a nice break-out for our DBV realms Namely, we want to investigate whether we need to provide DBV realms for the following: Sales Human Resources Database
Yes, database! That seems odd, but the database itself is an application in that it operates in the same manner as custom applications that are loaded into it tables, indexes, views, and programs are all found As discussed in 5, Oracle DBV creates a handful of realms for the Enterprise Edition itself so the concept that the database itself should be protected is built into the product
Part II:
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We want to consider auditing and auditing notification as a generic application requirement in many customer applications The Oracle database provides auditing components and features to enable notifications, so we can leverage these capabilities (versus building them) and simply ensure they are properly protected Our next step is to determine which database object-owner accounts and objects will be created (or exist) to support the application itself The use case we are examining is related to Sales Management, so there will certainly be a schema with database objects in it to support this use case This research will typically be conducted with the assistance of a system or application database administrator, but for this book, we will look at the sample schemas We see the Sales History (SH) schema has tables such as COSTS, SALES, PRODUCTS, PROMOTIONS, CHANNELS, and CUSTOMERS So in simply examining one use case, Add Monthly Product Costs, we have uncovered new areas of concern related to security and compliance If the COSTS information is of concern for SOX compliance, we can only assume the SALES information should be treated with the same level of concern In addition, if we examine the CUSTOMERS table, we can see that privacy related information is being maintained in the organization s databases and includes customer address, phone number, e-mail address, gender, marital status, and income data! If we examine the candidate realm Human Resources, we have to consider how identity management is handled at the enterprise and application levels If a corporation is leveraging Oracle technologies such as EUS, it can integrate database authentication with LDAP-based directories, so our concern (at the database level) is more about protecting objects such as database roles used for EUS enterprise roles We also need to consider that an enterprise may delegate the authentication against directories (or even database tables) to the application tier logic, leaving the database interactions to be based on a shared pool account using a design pattern named application proxy For the purposes of this chapter, we will not discuss all the available authentication mechanisms in use across the industry For this chapter, we will consider the Human Resources realm to comprise tables in the HR schema, as we can associate database accounts to employee-related records in this schema s tables quite easily to resolve organizational affiliation, such as whether the logged in user works for a Sales Department We want to address DBV security policy from the perspective of multiple object-owner accounts taking part in the example use case and leave it at that When we examine the HR schema, we find tables such as EMPLOYEES and DEPARTMENTS that would be used in read operations for the example use case In the case of the EMPLOYEES table, we have potential PII and privacy concerns, and our security profile even goes so far as to dictate requirements for column-level controls on data related to Social Security numbers, salary, and commission data that might be found in this table
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