Dynamic Email Sender Restriction System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current anti-spam solutions inadequately manage restrictions on receiving bulk spam emails, leading to hardware strain, user time wastage, and increased fraud risks due to the inability to effectively categorize and filter unwanted messages from various senders.
Innovation Solution
A system and method that identifies unknown senders by generating profiles based on email attributes, determines the type of bulk spam, and applies restrictions, with conflict identification rules to modify and update these restrictions, ensuring effective filtering and minimizing false positives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If traditional anti-spam applications are used to filter bulk spam messages, then some spam messages are blocked, but hardware resources are strained and user time is wasted due to ineffective restriction management
Solution Approach 1:
The patent implements dynamic restriction management where restriction parameters (such as blocking duration, message quotas, and filter intensity) are automatically adjusted based on the analyzed characteristics of spam campaigns. The system learns from patterns in bulk spam messages and modifies restrictions in real-time to optimize filtering effectiveness while minimizing impact on legitimate communications and system resources.
Solution Approach 2:
The system changes multiple parameters simultaneously including restriction severity levels, time windows for blocking, sender identification thresholds, and message volume limits. By adjusting these parameters based on spam campaign analysis, the system achieves better spam blocking with reduced hardware strain and user time consumption compared to static filtering approaches.
2Object-affected harmful factors
If restrictions are applied to block bulk spam senders, then spam reception is reduced, but false positives may occur blocking legitimate senders
Solution Approach 1:
The patent applies different restriction levels and filtering strategies to different senders based on their specific characteristics and behavior patterns. Rather than applying uniform blocking rules, the system analyzes individual sender profiles, message content patterns, and transmission behaviors to tailor restrictions appropriately, thereby reducing false positives while maintaining effective spam blocking.
Solution Approach 2:
The system incorporates feedback mechanisms where user interactions with blocked messages (such as false positive reports or legitimate communication confirmations) are used to continuously refine sender profiles and adjustment parameters. This feedback loop enables the system to learn from mistakes and improve the accuracy of restriction decisions over time, reducing false positives while maintaining spam filtering effectiveness.
3Measurement precision
If sender profiles are generated and compared with known profiles, then spam identification accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the profile comparison process into distinct modules: sender identification module, profile generation module, comparison module, and restriction adjustment module. Each module handles specific aspects of the profiling process independently, making the overall complex system more manageable and maintainable while preserving high identification accuracy through specialized processing in each segment.
4Object-affected harmful factors
If dynamic restriction adjustment is implemented, then spam filtering effectiveness is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary analysis of sender profiles and message patterns in advance, building comprehensive sender profiles before spam campaigns occur. By pre-processing and storing key characteristics, the system reduces the computational burden during actual spam filtering operations, enabling dynamic restriction adjustment without excessive processing delays when spam messages are received.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A method for restricting reception of e-mail messages from a sender of bulk spam mail includes identifying an unknown sender of received e-mail messages. A set of e-mail messages received from the identified sender is selected. A type of bulk spam mailing is determined based on the selected set of e-mail messages using one or more spam identification signatures. Restrictions on reception of e-mail messages from a sender distributing bulk spam of the determined type are generated.