Spam Control via Sender Account Characteristics
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Solution Overview
Problem
The proliferation of spam communications, such as emails and instant messages, poses challenges for users and service providers due to their disruptive nature and the associated costs in terms of storage and bandwidth usage, as existing technologies lack effective methods to differentiate between legitimate and spammer accounts.
Innovation Solution
Characteristics of communications accounts, including account age, message ratios, ratings, parental controls, and recipient relationships, are analyzed to determine the likelihood of an account being used for spamming, with aggregate measures and threshold comparisons used to limit outgoing communications from identified spammer accounts through methods like blocking, rate limiting, or message routing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If outgoing communications are limited based on account characteristics, then spam reduction is improved, but false positives affecting legitimate accounts worsen
Solution Approach 1:
The system changes multiple account parameters simultaneously (age, message ratios, contact list size, communication patterns) to create a multi-dimensional spam detection model. By evaluating several parameters with different weights rather than relying on a single threshold, the system achieves better spam detection accuracy while reducing false positives on legitimate accounts.
Solution Approach 2:
The patent creates a composite spam score by combining multiple account characteristics (age, outgoing/incoming message ratios, contact list size, parental controls, message board activity) into a single aggregate measure. This composite approach allows the system to capture the complex nature of spam behavior patterns while maintaining a unified evaluation metric for decision-making.
2Measurement precision
If multiple account characteristics are analyzed, then spam detection accuracy is improved, but system complexity worsens
Solution Approach 1:
The system segments the spam detection process into distinct components: data collection (gathering account characteristics), data processing (computing ratios and metrics), evaluation (comparing against thresholds and weights), and action (applying limitations). This segmentation makes the complex system more manageable and implementable by breaking it into modular functional blocks.
Solution Approach 2:
The patent introduces an intermediary aggregate spam score that mediates between multiple account characteristics and the final spam determination. Rather than directly comparing each characteristic to thresholds, the system computes a weighted aggregate measure that serves as an intermediate representation, simplifying the decision logic while maintaining detection accuracy.
3Loss of energy
If rate limiting is applied to spammer accounts, then bandwidth usage costs are reduced, but communication service availability worsens
Solution Approach 1:
The system dynamically adjusts communication limitations based on the computed spam probability and account characteristics. Rather than applying fixed restrictions, the system can vary the severity of rate limiting or blocking decisions based on the aggregate spam score, allowing legitimate accounts to maintain full service while progressively restricting suspected spammers.
Solution Approach 2:
The patent implements feedback mechanisms where the system monitors account behavior patterns over time, including response to previous limitations. If an account continues spamming despite rate limiting, the system can escalate restrictions. Conversely, if legitimate accounts experience false positives, the feedback loop allows for adjustment and relaxation of limitations, maintaining service availability while controlling bandwidth costs.
Data Source
AI summary
The characteristics of a communications account are used to determine whether the account is being used by a spammer. When the account is being used by a spammer, the use of the account for outgoing communications is limited to help prevent spam from being sent from the account. For example, communications from the account can be blocked, messages from the account may be delivered to a spam folder at the recipient (rather than an “inbox”), or outgoing messages from the account may be rate-limited.