Email Sender Misrepresentation Detection via Header-Body Comparison
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Solution Overview
Problem
Existing email processing technologies fail to effectively detect sender misrepresentation in emails, particularly when discrepancies exist between the sender information in the email body or subject and the header, leading to difficulties in identifying suspicious emails.
Innovation Solution
A non-transitory computer-readable medium and email processing device that execute a process for detecting misrepresentation by analyzing text strings in the email body, estimating sender domains from organization names, and comparing them with domains detected from the email header using a correspondence table, allowing for the identification of misrepresentation even in emails without URL links.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sender information is only detected from email header, then detection process is simple, but misrepresentation cannot be detected when body text contains different sender information
Solution Approach 1:
The email is divided into two segments for analysis: the header portion and the body text portion. The system separately extracts sender information from both segments and compares them to detect misrepresentation. This segmentation allows comprehensive verification without requiring complete restructuring of the email processing system.
Solution Approach 2:
The system introduces an intermediary comparison mechanism that acts as a mediator between header-based sender identification and body-text-based sender identification. By using organization name extraction and domain correspondence tables as intermediaries, the system can verify consistency between different sender information sources without directly conflating the two extraction methods.
2Adaptability or versatility
If URL links are required for sender verification, then verification process is straightforward, but emails without URL links cannot be verified
Solution Approach 1:
The system implements a universal sender verification mechanism that works across multiple email types regardless of whether they contain URL links. By extracting organization names from various text patterns in the email body and comparing them with header information using domain correspondence tables, the system achieves versatile applicability while maintaining verification accuracy for both URL-containing and URL-free emails.
3Measurement precision
If comprehensive text analysis is performed on email body, then misrepresentation detection accuracy improves, but processing time increases
Solution Approach 1:
The system performs partial text analysis by focusing specifically on extracting organization names from the email body rather than analyzing the entire text content. This selective approach extracts only the necessary information (organization names and sender references) while ignoring irrelevant content, thereby maintaining high detection accuracy while reducing overall processing time compared to comprehensive text analysis.
Data Source
AI summary
An email misrepresentation handling process is executed for an email in a case of a mismatch between first sender information detected by a first detection from a body text or a subject of the email, and second sender information detected by a second detection from a header of the email.