Database Security and Auditing: Protecting Data Integrity and Accessibility
Chapter 8 Application Data Auditing
Objectives
• Understand the difference between the auditing architecture of DML Action Auditing Architecture and DML changes
• Create and implement Oracle triggers • Create and implement SQL Server triggers • Define and implement Oracle fine-grained
auditing
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Objectives (continued)
• Create a DML statement audit trail for Oracle
and SQL Server
• Generate a data manipulation history
•
Implement a DML statement auditing using a repository
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Objectives (continued)
• Understand the importance and the
•
implementation of application errors auditing in Oracle Implement Oracle PL/SQL procedure authorization
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DML Action Auditing Architecture
• Data Manipulation Language (DML): companies
use auditing architecture for DML changes • DML changes can be performed on two levels:
– Row level – Column level
• Fine-grained auditing (FGA)
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DML Action Auditing Architecture (continued)
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DML Action Auditing Architecture (continued)
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Oracle Triggers
• Stored PL/SQL procedure executed whenever:
– DML operation occurs – Specific database event occurs
• Six DML events (trigger timings): INSERT,
UPDATE, and DELETE
• Purposes:
– Audits, controlling invalid data – Implementing business rules, generating values
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Oracle Triggers (continued)
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Oracle Triggers (continued)
• CREATE TRIGGER • Executed in a specific order:
– STATEMENT LEVEL triggers before COLUMN
LEVEL triggers
– BEFORE triggers before AFTER triggers • USER_TRIGGERS data dictionary view: all
triggers created on a table
• A table can have unlimited triggers: do not
overuse them
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Oracle Triggers (continued)
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SQL Server Triggers
• CREATE TRIGGER DDL statement: creates a
trigger
• Trigger condition:
– Prevents a trigger from firing – UPDATE() and COLUMNS_UPDATE() functions
• Logical tables:
– DELETED contains original data – INSERTED contains new data
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SQL Server Triggers (continued)
• Restrictions—Transact-SQL statements not
allowed: – ALTER and CREATE DATABASE – DISK INIT and DISK RESIZE – DROP DATABASE and LOAD DATABASE – LOAD LOG – RECONFIGURE – RESTORE DATABASE – RESTORE LOG
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Implementation of an Historical Model with SQL Server
• Create a history table:
– Same structure as original table – HISTORY_ID column
• Create a trigger: inserts original row into the
HISTORY table
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Fine-grained Auditing (FGA) with Oracle
• Oracle provides column-level auditing: Oracle
PL/SQL-supplied package DBMS_FGA
• DBMS_FGA procedures:
– ADD_POLICY – DISABLE_POLICY – DROP_POLICY – ENABLE_POLICY
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Fine-grained Auditing (FGA) with Oracle (continued)
• ADD_POLICY parameters:
– OBJECT_SCHEMA – OBJECT_NAME – POLICY_NAME – AUDIT_CONDITION – AUDIT_COLUMN – HANDLER_SCHEMA
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Fine-grained Auditing (FGA) with Oracle (continued)
• ADD_POLICY parameters (continued):
– HANDLER_MODULE – ENABLE – STATEMENT_TYPES
• DBA_FGA_AUDIT_TRAIL: view the audit trail
of the DML activities
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DML Action Auditing with Oracle
• Record data changes on the table:
– Name of the person making the change – Date of the change – Time of the change
• Before or after value of the columns are not
recorded
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DML Action Auditing with Oracle (continued)
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DML Action Auditing with Oracle (continued)
• Steps:
– Use any user other than SYSTEM or SYS; with privileges to create tables, sequences, and triggers
– Create the auditing table – Create a sequence object – Create the trigger that will record DML
operations
– Test your implementation
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History Auditing Model Implementation Using Oracle
• Historical data auditing is simple to implement; main components are TRIGGER objects and TABLE objects • Keeps record of:
– Date and time the copy of the record was
captured
– Type of operation applied to the record
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History Auditing Model Implementation Using Oracle (continued)
• Steps:
– Use any user other than SYSTEM or SYS; with privileges to create tables, sequences, and triggers
– Create history table – Create the trigger to track changes and record
all the values of the columns
– Test your implementation
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DML Auditing Using Repository with Oracle (Simple 1)
• Simple Auditing Model 1 • Flag users, tables, or columns for auditing • Requires less database administrative skills:
– Application administrators can do it – User interface is built in top of the repository
• Auditing flags are flexible • Does not record before or after column values;
only registers type of DML operations
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DML Auditing Using Repository with Oracle (Simple 1) (continued)
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DML Auditing Using Repository with Oracle (Simple 1) (continued)
• Steps:
– Use any user other than SYSTEM or SYS – Create triggers – Create sequence object – Build tables to use for applications – Populate application tables
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DML Auditing Using Repository with Oracle (Simple 1) (continued)
• Steps (continued):
– Populate auditing repository with metadata – Create the stored package to be used with the
trigger
– Create triggers for application tables – Test your implementation
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DML Auditing Using Repository with Oracle (Simple 2)
• Simple Auditing Model 2: requires a higher level
of expertise in PL/SQL • Stores two types of data:
– Audit data: value before or after a DML
statement
– Audit table: name of the tables to be audited
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DML Auditing Using Repository with Oracle (Simple 2) (continued)
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DML Auditing Using Repository with Oracle (Simple 2) (continued)
• Steps:
– Use any user other than SYSTEM or SYS; with
privileges to create tables, and triggers
– Create the auditing repository – Establish a foreign key in AUDIT_DATA table
referencing AUDIT_TABLE table
– Create a sequence object – Create the application schema
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DML Auditing Using Repository with Oracle (Simple 2) (continued)
• Steps (continued):
– Add data to tables – A stored PL/SQL package will be used for
auditing within the triggers
– Create triggers for audited tables – Add auditing metadata – Test your implementation
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Auditing Application Errors with Oracle
• Application errors must be recorded for further
analysis
• Business requirements mandate to keep an
audit trail of all application errors
• Materials:
– Repository consisting of one table – Methodology for your application
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Auditing Application Errors with Oracle (continued)
• Steps:
– Select any user other than SYSTEM or SYS;
with privileges to create tables, and procedures
– Populate tables – Create the ERROR table – Create a stored package to perform the
UPDATE statement
– Test your implementation: perform and update
using the CREATE package
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Oracle PL/SQL Procedure Authorization
• Oracle PL/SQL stored procedures are the mainstay of implementing business rules
• Security modes:
– Invoker rights: procedure is executed using
security credentials of the caller
– Definer rights: procedure is executed using
security credentials of the owner
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Oracle PL/SQL Procedure Authorization (continued)
• Steps:
– Create a new user – Select a user with CREATE TABLE and
PROCEDURE privileges
– Populate tables – Create stored procedure to select rows in a table – Grant EXECUTE privileges on new procedure – Log on as the new user and query the table – Execute procedure
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Summary
• Two approaches for DML auditing:
– Set up an audit trail for DML activities – Register all column values before or after the
DML statement (column-level auditing)
• Fine-grained auditing (Oracle) • Triggers:
– Stored PL/SQL procedure automatically
executed
– Oracle has six DML events
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Summary (continued)
• Triggers are executed in order • USER_TRIGGERS data dictionary view: shows
all triggers
• SQL Server 2000:
– CREATE TRIGGER DDL statement – Conditional functions: UPDATE() and
COLUMNS_UPDATED()
• FGA allows generation of audit trail of DML
activities
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Summary (continued)
• FGA is capable of auditing columns or tables; Oracle PL/SQL-supplied package DBMS_FGA
• PL/SQL stored procedures security modes:
– Invoker rights – Definer rights
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