Database Security & Privacy Fundamentals

Security Management System

Description

This course provides an in-depth exploration of security and privacy issues related to database systems. Students will learn the fundamental principles and practices used to protect sensitive data stored in databases from unauthorized access, misuse, and breaches. Topics include access control models, authentication and authorization mechanisms, encryption techniques, database activity monitoring, vulnerability management, and the mitigation of common attacks such as SQL injection.Additionally, the course covers data privacy regulations and techniques such as data anonymization, pseudonymization, and compliance with laws like GDPR and HIPAA. Students will gain hands-on experience through practical labs and projects that simulate real-world database security scenarios. By the end of the course, participants will be equipped with the skills to design, implement, and maintain secure and privacy-aware database systems.

Key Topics:

• Database security models (DAC, MAC, RBAC)

• Authentication and authorization

• SQL injection and mitigation

• Data encryption (at rest and in transit)

• Backup, recovery, and auditing

• Database activity monitoring (DAM)

• Insider threat detection

• Data privacy laws and compliance

• Anonymization and data masking techniques

• Secure database design best practices

  Prerequisites:

  • Basic knowledge of databases (e.g., SQL)

  • Familiarity with computer networks and operating systems is recommended

  • Key Components of Database Security:

    1. Authentication & Authorization

       • Ensure only authorized users have access to the database.

       • Role-based access control (RBAC) is common.

    2. Encryption

       • Data-at-rest: Encrypt stored data to protect it if the physical storage is compromised.

       • Data-in-transit: Use TLS/SSL to secure data transmission between clients and the server.

    3. Auditing and Monitoring

       • Track access and changes to the database.

       • Detect suspicious activities in real-time.

    4. Backup and Recovery

       • Regularly back up data to protect against loss due to system failure or attacks.

       • Have a tested disaster recovery plan.

    5. Database Firewalls

       • Block known attack patterns (e.g., SQL injection) before they reach the DBMS.

    6. Patching and Updates

       • Regularly update DBMS software to fix security vulnerabilities.

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