Spam Recall via Pre-stored Attribute Database
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Solution Overview
Problem
Conventional spam filters are ineffective in blocking spam emails that have already passed through the filtering process and entered email clients' mailboxes, as spammers quickly modify their tactics faster than spam reference libraries can update anti-spam software.
Innovation Solution
A database is maintained to store spam attributes of received emails, allowing a spam filter to query and recall spam messages after they have been transmitted to email clients, with the ability to modify or delete these messages if they were not initially detected as spam, and update spam attributes periodically to address new spam patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional spam filters are used to block email based on spam attributes, then spam blocking is effective for emails in transit, but spam emails that have already entered mailboxes cannot be recalled or removed
Solution Approach 1:
The system stores spam attributes and message identifiers in a database before spam patterns become widespread. When new spam patterns are detected, the system can quickly query the database and recall affected emails that have already been delivered, preventing spam proliferation after initial filtering fails
Solution Approach 2:
The system continuously monitors for new spam patterns and feeds this information back into the recall mechanism. When spam attributes are updated in the database, the system automatically queries for matching delivered emails and initiates recall actions, creating a closed-loop feedback system that adapts to evolving spam tactics
2Measurement precision
If spam reference libraries are updated frequently to catch new spam patterns, then spam detection accuracy improves, but spammers can still modify their tactics faster than updates can be distributed
Solution Approach 1:
The system pre-stores spam attributes, message identifiers, and filtering rules in a local database before spam campaigns go live. This allows the system to immediately recognize and recall spam emails using previously captured patterns, reducing the time lag between spam evolution and detection
Solution Approach 2:
The system implements dynamic spam attribute storage that continuously updates and adapts to new spam patterns. The database structure allows for rapid insertion of new spam characteristics and flexible querying based on evolving spam tactics, enabling the system to adapt its detection and recall mechanisms in real-time
3Adaptability or versatility
If a database is maintained to store spam attributes of received emails for later recall, then spam emails can be recalled after delivery, but system complexity and resource requirements increase
Solution Approach 1:
The system extracts and stores only essential spam attributes and message identifiers in a dedicated database, separating this recall functionality from the core email delivery system. This modular approach allows spam recall to be implemented without fundamentally redesigning the entire email infrastructure
Solution Approach 2:
The spam attribute database serves as an intermediary layer between email delivery and spam recall operations. It stores preprocessed spam characteristics and enables efficient querying without requiring direct access to email content, simplifying the recall mechanism while maintaining effectiveness
Data Source
AI summary
A method for operating an apparatus to recall email which has already passed through a spam filter to user mailboxes. An apparatus stores a highly efficient database for a brief period of time after an email is received, filtered, and transmitted to an email server. Message id, recipient, connecting IP address and other spam attributes are stored in a searchable format. After receiving updated spam attributes, a spam filter apparatus under software control queries the database for messages that were not detected as spam before transmittal to the email clients and servers, and sends spam recall messages. Improved email clients and servers adapted by software instructions, move or modify email user mailboxes upon receipt of the spam recall.