Cloud Upload Management for Confidential Media Classification
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Solution Overview
Problem
Cloud storage security concerns arise when sensitive data is uploaded to external organizations' storage resources without proper authorization, necessitating a method to distinguish and manage confidential media items.
Innovation Solution
A model is configured to analyze media items for confidentiality, using machine learning algorithms to classify them as confidential or non-confidential, and issue appropriate upload control actions to prevent sensitive data from being stored on external servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If media items are uploaded to cloud storage without analysis, then upload speed and convenience are improved, but security and confidentiality protection deteriorate
Solution Approach 1:
The system performs preliminary classification analysis of media items before they are uploaded to cloud storage. The model analyzes whether media items are confidential or not, and only non-confidential items are permitted to be uploaded. This preliminary action prevents security issues before they occur while maintaining efficient uploads for legitimate content.
2Reliability
If a classification model is implemented to analyze media items, then security and confidentiality protection are improved, but processing time and system complexity increase
Solution Approach 1:
The system extracts only the essential classification information needed to determine confidentiality status, rather than performing comprehensive analysis on all media items. The model focuses on identifying key characteristics that indicate confidential content, enabling quick decisions about whether to permit uploads without excessive processing overhead.
3Measurement precision
If manual review of media items is performed, then classification accuracy is improved, but processing time and operational complexity increase
Solution Approach 1:
The system employs an automated machine learning model that performs classification independently without requiring manual review or human intervention. The model analyzes media items and automatically determines confidentiality status, eliminating the need for complex manual review processes while maintaining consistent and accurate classification decisions.
Data Source
AI summary
Aspects of the present disclosure relate to managing the upload of media items to cloud storage. A model can be configured to distinguish between confidential and non-confidential media items. A media item to be uploaded to a cloud storage can be analyzed using the model to determine whether the media item is confidential. In response to determining that the media item is confidential, an upload control action can be issued on the media item.