Spam Detection Segmentation for Share Sites
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Solution Overview
Problem
Web-based share sites are increasingly used by spammers to send spam emails, leading to negative user experiences and resource-intensive customer service issues for service providers, as existing anti-spam techniques are not effective in detecting spam with high accuracy and low false alarm rates.
Innovation Solution
A network-based computer system that enables users to set up share sites, detects potential spam emails using spam detection rules, reduces false positives with false alarm reduction rules, and prohibits spammers from sending emails, incorporating a spam intelligence module and spam control module to identify and prevent spam.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If semantic-based spam filters are used to remove spam emails, then spam emails received over the Internet can be filtered, but detection accuracy for share site spam is insufficient and false alarm rate increases
Solution Approach 1:
The patent segments the spam detection process into two distinct phases: a screening phase that identifies potential spam emails using multiple criteria (spam score calculation based on sender reputation, content analysis, attachment scanning), and a verification phase that confirms spam status only for emails exceeding the threshold. This segmentation allows the system to apply intensive analysis only to suspicious emails, improving accuracy while reducing false alarms in legitimate emails.
Solution Approach 2:
The patent implements preliminary actions by pre-calculating and storing spam scores for senders based on their historical behavior, reputation, and patterns before actual email delivery. This preliminary scoring enables the system to quickly identify and flag suspicious emails without performing full analysis on every message, thereby improving detection accuracy while minimizing processing overhead and false positives.
2Reliability
If extensive spam detection analysis is performed on all emails, then spam detection accuracy improves, but processing time and system resources increase
Solution Approach 1:
The patent applies partial action by performing basic spam score evaluation on all emails but conducting comprehensive verification analysis only on emails that exceed a predetermined spam threshold. This selective approach ensures that intensive detection resources are allocated only to suspicious emails, maintaining high detection accuracy while minimizing processing time for the majority of legitimate emails that pass the initial screening.
3Productivity
If automated spam detection systems are implemented, then customer service resources are saved, but false positive emails may be incorrectly blocked
Solution Approach 1:
The patent incorporates feedback mechanisms where the system continuously monitors verification results and adjusts spam threshold parameters based on detected false positives and false negatives. The verification phase provides feedback to refine the screening criteria, enabling the automated system to learn from mistakes and improve its accuracy over time, thereby maintaining high productivity while reducing false positives in email delivery.
Data Source
AI summary
A computer-implemented method for preventing spam emails from a share site includes providing a network-based computer system to enable users to set up share sites and to send emails from the share sites, detecting potential spam emails based on one or more spam detection rules, identifying false positive emails in the potential spam emails based on one or more false alarm reduction rules, removing false positive emails from the potential spam emails to produce a list of verified spam emails, identifying a sender of the list of verified spam emails as a spammer, and prohibiting the spammer from sending emails from one or more share sites owned spammer.