Visual Content Translation for Malicious Email Detection
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Solution Overview
Problem
Conventional systems lack the capability to effectively detect, translate, and categorize visual content associated with malicious electronic communication, leading to increased malicious activity on third-party systems.
Innovation Solution
A system comprising processing devices and memory devices with computer-readable program code that establishes communication links with third-party systems, continuously monitors electronic communications, detects triggers such as entity names or logos, translates visual content to text, and categorizes communications for remediation actions like deletion or notification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional systems are used for monitoring electronic communications, then system simplicity is maintained, but the capability to detect and categorize malicious visual content is insufficient
Solution Approach 1:
The system segments the malicious content detection process into distinct functional modules: visual content detection module that identifies images in communications, translation module that converts visual content to text, and categorization module that classifies communications as malicious or benign. This segmentation enables comprehensive detection capability while maintaining manageable system complexity through modular architecture
Solution Approach 2:
The patent introduces visual content translation as an intermediary step between receiving electronic communications and analyzing their malicious nature. By translating visual content (images, logos, emojis) into text, the system enables traditional text-based analysis methods to detect malicious intent in visual formats, significantly improving detection reliability without requiring entirely new complex analysis algorithms
2Object-affected harmful factors
If visual content translation and categorization are implemented, then malicious activity mitigation is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary translation of visual content to text format as soon as visual content is detected in an electronic communication. This preliminary action prepares the content for rapid categorization by converting it into a format that can be quickly analyzed against known malicious patterns, reducing the time penalty associated with translation
Solution Approach 2:
The categorization module operates autonomously to classify communications as malicious or benign based on the translated text content. This self-service categorization eliminates the need for manual review of each communication, enabling automated mitigation of malicious activity while minimizing processing time through efficient algorithmic classification
Data Source
AI summary
Embodiments of the present invention provide a system for detecting, translating, and categorizing visual content associated with malicious electronic communication. The system is configured for establishing a communication link with one or more third party systems, continuously monitoring one or more electronic communications associated with the one or more third party systems, detecting at least one electronic communication from the one or more electronic communications that meets one or more triggers, analyzing the at least one electronic communication to translate the at least one electronic communication to text, and categorizing the at least one electronic communication based on the text associated with the at least one electronic communication.