Mobile Content Classification via Intermediate Node Control Character Replacement
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Solution Overview
Problem
Existing systems lack an efficient method for automatic classification of content originating from mobile devices, particularly in highly regulated environments where sensitive information requires accurate and automated classification.
Innovation Solution
A system that processes content objects from mobile devices to identify control characters, replacing them with classification information, which includes classification-related text and metadata, using an intermediate node such as a server or classification application, ensuring secure and automatic classification before content is sent to its destination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automatic classification is implemented for mobile device content, then classification accuracy and compliance are improved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediate node (classification server or gateway) that acts as a mediator between the mobile device and the destination. This intermediary receives content objects from mobile devices, performs automated classification by identifying control characters and replacing them with appropriate classification information, and then forwards the classified content to the destination. This resolves the complexity issue by centralizing the classification logic in a dedicated intermediary component rather than embedding it throughout the entire system.
Solution Approach 2:
The system performs classification actions preliminarily before content is sent to its destination. Control characters are identified and replaced with classification information in advance, allowing the content to be properly classified and compliant before final delivery. This preliminary action ensures that classification accuracy is maintained while the actual classification processing is done in advance by the intermediary system.
2Productivity
If manual classification is used, then user control is maintained, but productivity and efficiency decrease
Solution Approach 1:
The system implements self-service classification where the automated system performs classification tasks without requiring continuous user intervention. Control characters are automatically identified and replaced with appropriate classification information by the intermediary system, significantly improving productivity and efficiency while maintaining sufficient user control through policy configuration and character definition.
3Reliability
If classification information is added to content objects, then compliance with classification policies is improved, but data integrity and security may be compromised
Solution Approach 1:
The intermediary node serves as a secure mediator that handles classification information insertion in a controlled environment. By centralizing this function, the system ensures that classification data is added consistently and securely without compromising the integrity of the original content objects from mobile devices, while still achieving compliance with classification policies.
Data Source
AI summary
Automatic classification of mobile device-originated content is disclosed. A content object sent from a mobile application to a destination may be received at an intermediate node. The content object may be processed to identify one or more control characters included in the content object. The content object may be modified to replace the identified control characters with classification information.