Email Forwarder Identification via Heuristic Analysis

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Solution Overview

Problem

The prevalence of spam emails has increased due to the low cost of sending emails, leading to issues where email forwarders are mistakenly identified as spammers, interfering with spam filtering systems and causing relevant emails to be misclassified or deleted.

Innovation Solution

Techniques such as IP-address based anti-spoofing checks, heuristics, and machine-learning models are employed to differentiate between email forwarders and spammers by analyzing characteristics like email distribution patterns, recipient numbers, and header content, allowing for special handling of forwarder emails to prevent false positives.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If spam filters are employed to filter emails based on sender address and number of emails sent, then spam filtering effectiveness is improved, but email forwarders are mistakenly identified as spammers causing false positives

Engineering Contradiction:
Improvespam filtering effectivenessVSAvoididentification accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent segments the email sender population into distinct categories: spammers, email forwarders, and legitimate senders. By analyzing specific characteristics such as email distribution patterns, recipient numbers, and header content, the system creates separate identification pathways for each category, allowing email forwarders to be distinguished from spammers and preventing false positives in spam filtering

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent changes the parameters used for identification from simple metrics (sender address, email count) to more nuanced characteristics (email distribution patterns, recipient numbers, header content). This parameter transformation enables the system to accurately differentiate between email forwarders and spammers, resolving the contradiction between filtering effectiveness and identification precision

Inventive Principle:
Principle #35Parameter changes

2Reliability

If IP-address based anti-spoofing checks are performed on forwarded emails, then spam detection capability is improved, but legitimate forwarded emails are misclassified as spam

Engineering Contradiction:
Improvespam detection capabilityVSAvoidlegitimate email classification
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The patent introduces an intermediary classification layer between anti-spoofing checks and final spam classification. Email forwarders are identified as a separate category through analysis of distribution patterns and header characteristics, acting as a mediator that prevents the anti-spoofing mechanism from incorrectly flagging legitimate forwarded emails as spam while still maintaining spam detection capability

Inventive Principle:
Principle #24Intermediary (Mediator)

3Productivity

If spam filters aggressively filter emails from senders with bad reputation, then spam blocking effectiveness is improved, but forwarded emails from identified forwarders are removed or routed to spam folder

Engineering Contradiction:
Improvespam blocking effectivenessVSAvoiduser interaction with forwarded emails
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The patent applies local quality by treating email forwarders differently from spammers in the filtering system. Instead of applying uniform aggressive filtering to all identified problematic senders, the system applies specialized handling rules specifically to email forwarders, preserving their legitimate emails in the main inbox while still blocking actual spam, thereby maintaining both blocking effectiveness and user accessibility

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS7908328B1Identification of email forwarders
Publication Date: 2011.03.15 MICROSOFT TECHNOLOGY LICENSING LLC
  • US7908328B1 patent drawing
  • US7908328B1 patent drawing
  • US7908328B1 patent drawing

AI summary

Identification of email forwarders is described. In an implementation, a method includes using heuristics to identify email forwarders for use in a reputation system for locating spammers. In another implementation, a method includes determining a likelihood that a particular Internet Protocol (IP) address corresponds to an email forwarder and processing email originating from the particular IP address based on the determined likelihood. In a further implementation, a method includes collecting heuristic data that describes characteristics of emails sent from one or more Internet Protocol (IP) addresses and constructing a model from the heuristic data for identifying whether at least one of the IP address is an email forwarder. In yet a further implementation, a method includes identifying that a particular Internet Protocol (IP) address likely corresponds to an email forwarder and processing email from the particular IP address based on an implied sender of the email.