Cloud Data Quarantine and Recovery System
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Solution Overview
Problem
Existing systems fail to proactively monitor and protect user data in cloud storage from permanent loss due to malicious activities like ransomware, often being reactive and limited to individual file scanning rather than comprehensive data storage area monitoring.
Innovation Solution
A system and method for proactive monitoring of user data in cloud storage, employing a telemetry and scanning module to identify anomalies, with multi-state quarantine capabilities and enhanced recovery mechanisms, allowing for data protection and recovery before permanent loss occurs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing malware scanners scan individual files on user devices, then file-level virus detection is achieved, but comprehensive data storage area monitoring is not provided
Solution Approach 1:
The patent segments the monitoring function into two distinct components: (1) file-level scanning for individual file analysis, and (2) data storage area monitoring for comprehensive partition-level surveillance. This segmentation allows each component to specialize in its specific function, achieving both precise file detection and broad monitoring coverage simultaneously.
Solution Approach 2:
The patent transitions from single-dimension file-level monitoring to multi-dimensional monitoring by adding the data storage area dimension. This enables simultaneous observation at both the file level and the partition level, providing comprehensive coverage that neither approach could achieve alone.
2Reliability
If systems react to data loss after it occurs, then response action is taken, but proactive prevention of data loss is not achieved
Solution Approach 1:
The patent implements preliminary action by continuously monitoring data storage areas for anomalies before they result in permanent data loss. The system detects suspicious activities, potential malware infections, and abnormal file changes in advance, allowing preventive measures to be taken before actual data loss occurs.
Solution Approach 2:
The patent establishes a feedback loop where the monitoring system continuously observes data storage areas, detects anomalies, triggers alerts, and enables preventive actions. This closed-loop feedback mechanism ensures that the system responds to potential threats in real-time, converting reactive response into proactive prevention.
3Ease of operation
If no quarantine mechanism is implemented, then data access is unrestricted, but data corruption spreads unchecked
Solution Approach 1:
The patent introduces a quarantine mechanism as an intermediary between the monitoring system and data access operations. When potential threats are detected, the quarantine feature isolates affected data areas, acting as a mediator that prevents harmful factors from spreading while maintaining controlled access for analysis and recovery operations.
Data Source
AI summary
In some embodiments, disclosed subject matter involves proactive monitoring and detection of anomalies in user data hosted by a cloud storage server and user interaction with data to trigger quarantine of user data stored in the cloud storage. In at least one embodiment, data recovery from one or more quarantine states is available to a user after authentication. Quarantine levels may permit or prohibit various actions on the user data by the user who owns the data, an asynchronous process for data cleanup, and access by other authorized users, etc. In an embodiment, quarantine levels are associated with the user and affect the user data space rather than merely individual files. The proactive monitoring may include collection of telemetry based on the API calls to the cloud server, scanning of user file system and hierarchy, and other file or data space corruption. Other embodiments are described and claimed.