Icon Analysis for Unwanted Data Detection
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Solution Overview
Problem
Traditional systems for detecting unwanted data are unable to effectively identify such data based on icons associated with it, leading to security vulnerabilities.
Innovation Solution
A system and method that analyze icons by generating hashes or checksums, comparing them to white lists of known wanted icons and black lists of unwanted icons, and performing heuristic analyses to determine the validity and context of the associated applications, allowing for the detection of unwanted data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional data detection systems are used, then basic security detection is provided, but the systems are incapable of detecting unwanted data based on icons
Solution Approach 1:
The patent transitions from traditional file-based detection to icon-based detection, adding a new dimensional approach to security analysis. By extracting and analyzing icon characteristics (visual features, metadata, structural properties) in addition to or instead of traditional file scanning, the system gains the ability to detect unwanted data that may be hidden behind legitimate-looking files but have malicious icon characteristics.
Solution Approach 2:
The system performs preliminary icon analysis and comparison against databases of known malicious and benign icons before executing full security scans. This preliminary action enables early detection of suspicious icons, allowing the system to flag or block potentially malicious data before it can cause harm, improving both detection accuracy and operational efficiency.
2Adaptability or versatility
If icon analysis is implemented to detect unwanted data, then detection capability is improved, but system complexity increases
Solution Approach 1:
The icon analysis system is divided into modular components: icon extraction modules, feature analysis modules, comparison modules, and decision modules. Each component handles a specific aspect of icon analysis independently, making the overall complex system manageable, maintainable, and scalable. This segmentation allows the system to implement sophisticated icon-based detection without requiring complete system redesign.
Solution Approach 2:
The patent introduces intermediary databases containing icon templates, characteristic profiles, and comparison data that mediate between the icon analysis process and the final detection decision. These intermediary structures simplify the complexity by providing pre-processed reference data and standardized comparison mechanisms, reducing the computational burden on the main detection system.
Data Source
AI summary
A system, method, and computer program product are provided for detecting unwanted data based on an analysis of an icon. In use, an icon is analyzed. Furthermore, unwanted data is detected based on the analysis.