Outgoing Message Content Analysis for Confidential Data Restriction
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Solution Overview
Problem
Existing communication systems lack an automatic mechanism to restrict the further proliferation of confidential information, relying on user requests to prevent forwarding, which is not effective.
Innovation Solution
A message analysis system that extracts outgoing message contents, compares them with an index of previously tagged confidential messages, and restricts transmission based on similarity and forwarding thresholds, using techniques like cosine similarity, string matching, and semantic analysis to identify and suppress the spread of confidential information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user requests are used to prevent forwarding of confidential information, then users can request restriction, but the mechanism is not effective in actually preventing proliferation
Solution Approach 1:
The system performs preliminary actions by extracting contents from outgoing messages and comparing them against an index of previously tagged confidential messages before transmission occurs. This proactive approach identifies confidential information in advance and applies restrictions automatically, rather than relying on post-transmission user requests.
Solution Approach 2:
The system implements feedback by continuously monitoring outgoing messages, comparing them with the index of confidential information, and automatically adjusting transmission based on the comparison results. The index is updated as new confidential messages are identified, creating a self-improving system that becomes more effective over time.
2Extent of automation
If automatic message analysis and comparison is implemented, then confidential information can be automatically restricted, but the system complexity increases
Solution Approach 1:
The system extracts only the essential content elements from outgoing messages that need to be compared against the confidential information index. By focusing on extracting and comparing only the relevant message contents rather than analyzing entire message structures, the system achieves automatic detection with reduced computational complexity.
3Reliability
If message contents are extracted and compared with index, then transmission restriction can be enforced, but processing time increases
Solution Approach 1:
The system performs partial comparison by extracting only the necessary content elements from messages and comparing them against the index, rather than conducting a complete analysis of every message attribute. This selective approach maintains accurate identification of confidential information while minimizing processing time and transmission delays.
Data Source
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AI summary
A message analysis system controls the transmission of outgoing messages based on the contents of the outgoing messages so that the proliferation of restricted data or confidential content can be monitored or prevented. An outgoing message is detected via various user actions executed during the creation of the outgoing message. The contents of the outgoing message are extracted to determine if the outgoing message includes restricted data or content based on a comparison of the message contents with contents of an index which includes prior tagged messages and their message counts. If the contents of the outgoing message match a prior received message, an associated message count is updated and the outgoing message is transmitted or restricted based on the comparison of the updated message count with a corresponding count threshold.