File Event Analytics for Inadvertent Deletion Recovery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users of content management systems may inadvertently or maliciously make changes to files, leading to confusion and potential data loss, especially when the system is misunderstood as a backup rather than an active management system, and existing technologies fail to effectively detect and correct such errors in a timely manner.
Innovation Solution
A system and method that maintains a log of file events, analyzes these events using an analytics module to identify suspicious activity, and sends notifications to users with a link to restore changes if errors are detected, thereby providing a mechanism to undo unintended deletions or modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the content management system functions as active content management rather than backup storage, then file synchronization and collaboration capabilities are improved, but user confusion and inadvertent deletions increase
Solution Approach 1:
The system monitors file events in real-time and provides feedback to users through notifications when suspicious deletion patterns are detected. The analytics module continuously analyzes deletion events and sends alerts to users, enabling them to correct inadvertent deletions before data is permanently lost.
Solution Approach 2:
The system performs preliminary analysis of file events to identify suspicious deletion patterns before significant data loss occurs. By maintaining a log of file events and analyzing them proactively, the system can warn users of potential errors before they result in permanent data loss.
2Measurement precision
If file deletion events are monitored and analyzed in real-time, then detection accuracy of inadvertent deletions is improved, but system complexity and computational resources increase
Solution Approach 1:
The system divides the monitoring task into separate components: an analytics module that analyzes deletion patterns and a notification module that alerts users. This segmentation allows each component to specialize in its function, improving detection accuracy while managing system complexity through modular design.
Solution Approach 2:
The analytics module autonomously monitors file events, analyzes deletion patterns, and generates notifications without requiring manual intervention. The system serves itself by automatically detecting and responding to suspicious file events, reducing the need for complex manual monitoring infrastructure.
3Reliability
If a notification system with restore functionality is implemented, then data recovery capability is improved, but user notification fatigue may increase
Solution Approach 1:
The notification system provides targeted alerts only for suspicious deletion events that match specific patterns, rather than notifying users of all file events. This localized approach ensures users receive relevant notifications that require attention while avoiding fatigue from excessive generic alerts.
Solution Approach 2:
The system takes preliminary action by providing users with a restore link in the notification, enabling them to reverse inadvertent deletions before completing the action. This preliminary anti-action prevents data loss by offering correction opportunities before the harmful effect (permanent deletion) occurs.
Data Source
AI summary
A content management system can detect file events that are suspected to be in error, and notify users having access to files affected by the detected file events of the detected events. The content management system can maintain a log of file events including a plurality of file identifiers. The file identifiers identify files that are associated with a namespace, a file event, and a user account responsible for the file event. An analytics module can analyze the log of file events and notify the user of a suspected error when it may be that the file events were inadvertent. A notification can include a link to restore (undo) the file events if the user confirms that the file events were in error.