Mail Processing Server Prioritizing Fraudulent Email Deletion
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Solution Overview
Problem
Existing email systems lack the capability to estimate the time individual users take to open attached files, leading to inefficient deletion of fraudulent emails, as they are unable to prioritize and address these messages in the correct order, potentially allowing recipients to perform risky actions before the emails are removed.
Innovation Solution
A mail processing server that records user operation logs to analyze action patterns and prioritize the deletion of fraudulent emails based on the likelihood of users taking risky actions shortly after receiving messages, allowing for targeted countermeasures to be taken in descending order of user priority.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fraudulent emails are deleted using existing email systems, then email security is improved, but the deletion efficiency is poor because the system cannot estimate user action timing and prioritize deletion order
Solution Approach 1:
The system performs preliminary analysis of user operation logs to predict which users are likely to open attachments or click links in fraudulent emails. This preliminary action enables the system to prioritize and delete emails in the correct order before users can execute risky actions, thereby improving both security and deletion efficiency
Solution Approach 2:
The system collects feedback from operation logs recording user actions on received emails, analyzes this feedback to identify patterns, and uses these patterns to improve the prioritization algorithm for deleting fraudulent emails, creating a continuous improvement cycle
2Reliability
If all fraudulent emails are deleted immediately, then user protection is maximized, but the system cannot account for different user behaviors and may delete emails in suboptimal order
Solution Approach 1:
The system applies different deletion priorities to different users based on their individual operation patterns. Users who frequently open attachments or click links receive higher priority for email deletion, while more cautious users receive lower priority, optimizing the timing of deletion for each user's specific behavior profile
Data Source
AI summary
A mail processing server includes a storage unit and a computation unit. The storage unit stores operation log data recording operations that a plurality of users performed on received email messages. Upon detection of a target email message addressed to a plurality of destination users, the computation unit produces priority data that describes priorities of individual destination users specified in the target email message, based on the operation log data in the storage unit.