Encryption Key Rotation Using Data Thresholds and Auto-Retry
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Solution Overview
Problem
Current key-based encryption systems fail to automatically retry key rotation upon failure, leading to large amounts of data being encrypted with a single key, increasing security vulnerabilities and re-encryption time in case of key compromise.
Innovation Solution
Implementing size-based and time-based key rotation mechanisms with automatic retries and a garbage collection process to ensure each key encrypts a limited amount of data, reducing the risk of security breaches and minimizing re-encryption time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If keys are rotated periodically at fixed intervals, then security consistency is maintained, but key rotation may fail without automatic retry causing large amounts of data to be encrypted with a single key
Solution Approach 1:
The key rotation mechanism automatically detects failures and retries the rotation process without requiring external intervention. The system monitors its own key rotation status and autonomously initiates retry operations when failures are detected, enabling self-healing behavior that improves reliability without proportionally increasing complexity
Solution Approach 2:
The system implements feedback loops that monitor key rotation outcomes and use this information to trigger automatic retries. When a key rotation fails, the system receives feedback about the failure state and automatically responds by initiating another rotation attempt, creating a closed-loop control mechanism that ensures key rotation completion
2Productivity
If a single key encrypts large amounts of data, then encryption efficiency is improved, but security vulnerability increases if the key is compromised
Solution Approach 1:
The system segments the encryption process by dividing data into smaller portions that are encrypted with different keys. Instead of using a single key for all data, the system creates multiple key segments and assigns them to different data portions, so that if one key is compromised, only a small fraction of the total data is affected rather than the entire dataset
Solution Approach 2:
The system dynamically changes encryption parameters by rotating keys based on data volume thresholds. When a certain amount of data is encrypted with a key, the system automatically changes to a different key, adjusting the encryption parameters over time to balance efficiency and security requirements
3Reliability
If key rotation is performed frequently, then security is improved by limiting data exposure, but re-encryption time increases when keys are compromised
Solution Approach 1:
The system performs preliminary key rotation actions before keys are compromised by automatically rotating keys based on data volume thresholds. By proactively rotating keys as data accumulates, the system prevents large amounts of data from being encrypted with a single key, thereby reducing the potential re-encryption workload if a key compromise occurs
Data Source
AI summary
Embodiments for rotating encryption keys in a sized-based process by defining a threshold value specifying a maximum amount of data to be encrypted by a single encryption key, determining whether or not data currently ingested by the data storage system exceeds the threshold value, and performing a key rotation operation to use a new key to encrypt incoming future data if it does exceed the threshold value. A time-based process performs key rotation from an old key to a new key in accordance with a periodic schedule, determines if the key rotation operation is successful in rotating to the new key from the old key, and if the key rotation operation is successful then performing a subsequent key rotation operation in accordance with the periodic schedule, or if not successful sending a user alert and automatically re-attempting the key rotation operation.


