Deceptive Text Detection via Keyword Analysis
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Solution Overview
Problem
Computer users are vulnerable to malicious software attacks that misrepresent legitimate system messages, leading to the download of malicious programs and data breaches, as existing technologies lack effective methods to detect deceptive text in visual representation objects.
Innovation Solution
A method and apparatus using keyword analysis to monitor visual representation object creation within a user interface, access keyword information for misrepresenting system messages, and identify deceptive text through examination results, producing indicia of detection to warn users and mitigate potential threats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If keyword analysis is used to detect deceptive text, then detection accuracy improves, but system complexity increases
Solution Approach 1:
The detection system is segmented into distinct functional modules: a monitoring module that tracks visual representation object creation, an examination module that performs keyword analysis on internet activity, and an identification module that produces detection indicia. This modular segmentation allows each component to perform a specific function efficiently, improving detection accuracy while keeping individual module complexity manageable.
Solution Approach 2:
The patent introduces an intermediary examination module that acts as a mediator between the monitoring module and the identification module. This intermediary processes internet activity data through keyword analysis, transforming raw data into examination results that can be used for detection. The intermediary simplifies the overall system by handling the complex analysis task in a dedicated component.
2Reliability
If comprehensive monitoring of visual representation objects is performed, then detection reliability improves, but processing time increases
Solution Approach 1:
The system performs preliminary actions by monitoring visual representation object creation events and accessing keyword information in advance before actual deceptive text appears. The examination module proactively analyzes internet activity using pre-loaded keyword information, allowing the system to detect threats before they fully manifest, thereby improving reliability without significantly increasing processing time during critical detection moments.
Solution Approach 2:
The patent replaces traditional mechanical or rule-based detection methods with keyword analysis, which is a more efficient information processing approach. Instead of monitoring every pixel or UI element change, the system substitutes this with text-based keyword matching against known deceptive patterns, significantly reducing processing time while maintaining high detection reliability.
3Difficulty of detecting and measuring
If keyword information is accessed and analyzed, then detection capability improves, but computational load increases
Solution Approach 1:
The system extracts only the essential keyword information from internet activity data that is relevant to detecting deceptive text. Rather than analyzing all data uniformly, the examination module selectively extracts and analyzes keyword matches against a database of known deceptive text patterns. This extraction approach improves detection capability by focusing on critical information while reducing computational load by ignoring irrelevant data.
Solution Approach 2:
The patent employs parameter changes by adjusting the sensitivity and scope of keyword analysis based on system conditions. The examination module can modify analysis parameters such as keyword matching thresholds, analysis depth, and scanning frequency to balance detection capability with computational load, allowing the system to adapt its resource consumption to current operational requirements.
Data Source
AI summary
A method and apparatus for detecting system message misrepresentation using a keyword analysis is described. In one embodiment, the method of using one or more processors for detecting system message misrepresentation in memory by performing a keyword analysis, comprising monitoring visual representation object creation within a user interface, accessing keyword information comprising commonly used text for misrepresenting system messages, examining internet activity using the keyword information to produce an examination result, wherein the internet activity is for the created visual representation objects, identifying deceptive text within at least one of the created visual representation objects based on the examination result and producing indicia of detection as to the deceptive text.