Data Tampering
The unauthorized modification of data to manipulate or compromise its integrity.
Understanding Data Tampering
Data tampering can occur at different levels:
Database-Level Tampering – Altering records in SQL or NoSQL databases to commit fraud.
Network-Level Tampering – Modifying data packets in transit using Man-in-the-Middle (MITM) attacks.
Application-Level Tampering – Exploiting software vulnerabilities to change stored values, transactions, or logs.
Key Features of Data Tampering
Difficult to Detect – Attackers often cover their tracks by modifying logs or timestamps.
Targets High-Value Information – Financial transactions, medical records, government data.
Can Lead to Regulatory Non-Compliance – Violations of GDPR, HIPAA, PCI-DSS result in hefty penalties.
Best Practices for Preventing Data Tampering
Use Cryptographic Hashing (e.g., SHA-256, SHA-3) – Ensures data integrity verification.
Implement Write-Once-Read-Many (WORM) Storage – Prevents modifications to critical logs and records.
Enable Digital Signatures & Blockchain Technology – Creates immutable records resistant to tampering.
Regular Data Integrity Audits – Automates checks for unauthorized changes.