Big Data Security and Privacy
Security is a critical aspect of Big Data, as large-scale data environments contain sensitive and confidential information that must be protected from breaches, leaks, and unauthorized access.
1. Data Encryption
- Encryption at Rest: Data is stored in an encrypted format using standards like AES-256.
- Encryption in Transit: TLS/SSL ensures secure transmission between data sources and processing units.
- Homomorphic Encryption: Allows computations on encrypted data without decryption, enhancing security.
2. Identity and Access Management
- IAM Policies: Role-based access control (RBAC) ensures that users only have the necessary permissions.
- Multi-Factor Authentication (MFA): Adds an extra security layer for user authentication.
- Zero Trust Architecture: Assumes no implicit trust, requiring verification at all access levels.