Storage Vault Controller with Immutable Snapshots for Ransomware Recovery
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Solution Overview
Problem
Ransomware attacks and other data breaches are increasing, leading to data loss and corruption, with existing technologies lacking effective methods for secure data backup and recovery.
Innovation Solution
A storage vault controller that manages secure data transmission, storage, and recovery using cloud-based storage services, employing immutable snapshots and redundancy, along with watchdog processors to detect anomalies and generate alerts, and a two-factor authentication system for secure access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is stored in cloud-based storage systems, then data accessibility and storage capacity are improved, but data security and protection against ransomware attacks deteriorate
Solution Approach 1:
The system segments data into multiple immutable snapshots stored across distributed cloud-based storage buckets. Each snapshot is a read-only copy that cannot be modified, allowing data to be accessed from multiple points while maintaining security through distribution and isolation of data portions.
Solution Approach 2:
The system performs preliminary actions by creating immutable snapshots of data before potential ransomware attacks occur. These snapshots are prepared in advance and stored in a read-only state, enabling recovery to a known good state without requiring post-attack intervention or risking further contamination.
2Reliability
If immutable snapshots are generated frequently, then data recovery capability is improved, but storage space consumption and system resources worsen
Solution Approach 1:
The system creates copies of data in the form of immutable snapshots that reference the same underlying data blocks rather than duplicating entire datasets. This allows frequent snapshots with minimal additional storage consumption, as unchanged data is not repeatedly copied but referenced efficiently.
Solution Approach 2:
The system changes the state parameter of snapshots from writable to read-only (immutable), which allows the storage system to optimize space by identifying and deduplicating unchanged data blocks across multiple snapshots. This parameter change enables efficient storage while maintaining frequent recovery points.
3Object-affected harmful factors
If statistical analysis of snapshot sizes is performed, then ransomware attack detection is improved, but processing time and computational resources worsen
Solution Approach 1:
The system implements feedback by continuously monitoring snapshot size statistics and comparing them against expected patterns. When anomalies are detected (such as unexpectedly large snapshot sizes indicating potential encryption), the system generates alerts and can trigger recovery actions, creating a closed-loop detection and response mechanism.
Solution Approach 2:
The system performs partial analysis by focusing statistical monitoring on key indicators such as snapshot size changes rather than analyzing every byte of data. This selective approach provides adequate ransomware detection capability while minimizing processing overhead and avoiding excessive computational resources.
Data Source
AI summary
Automatically provisioning a data backup and recovery system by a storage vault controller involves receiving specification of a number of end points to use for storing user data in one or more cloud-based storage systems, receiving a distinct name for each of the end points, receiving cloud storage credentials for a plurality of pre-configured cloud storage buckets, receiving a mapping of the end points to the pre-configured cloud storage buckets, mounting the end point names, automatically associating each end point with a corresponding pre-configured cloud storage bucket and cloud storage credentials in accordance with the mapping wherein user data written to a mounted end point name is automatically written securely to the corresponding cloud storage bucket, and generating a plurality of successive immutable incremental snapshots of the data in the cloud storage buckets.