Software Application Warning Detection Using Probabilistic Asset Flags

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Solution Overview

Problem

Existing computing devices lack effective mechanisms to identify and warn users about potentially problematic software applications, which can lead to security vulnerabilities and user exploitation.

Innovation Solution

Implementing a probabilistic data structure, such as a Bloom Filter, to flag problematic software application assets, coupled with a management entity for definitive verification and providing informational packages for displaying warnings and remedial actions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If an unrestricted environment is used where users can freely download and install third-party applications, then developer flexibility and user freedom are improved, but security vulnerabilities and malicious software installation increase

Engineering Contradiction:

Improvedeveloper flexibilityVSAvoidsecurity

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system performs preliminary actions by maintaining a probabilistic data structure that pre-identifies problematic software application assets before installation. When a user attempts to install an application, the system checks if any assets in the application match entries in the probabilistic data structure, allowing early detection and warning before the malicious software can execute harmful actions.

Inventive Principle:

Principle #10Preliminary action

2Reliability

If a restricted environment with application store vetting is implemented, then security is improved, but developer flexibility and ease of application distribution are reduced

Engineering Contradiction:

ImprovesecurityVSAvoiddeveloper flexibility

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system introduces an intermediary mechanism that operates independently of the application store vetting process. The probabilistic data structure serves as an intermediary layer that can identify problematic assets in any application regardless of its distribution channel, providing security enhancement without restricting developer flexibility or requiring changes to existing application distribution processes.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Difficulty of detecting and measuring

If traditional security scanning methods are used to identify malicious software, then detection capability is improved, but processing time and computational resources increase

Engineering Contradiction:

Improvedetection capabilityVSAvoidprocessing time

Core Design Contradiction:

Difficulty of detecting and measuringVSLoss of time

Solution Approach 1:

The system uses a probabilistic data structure that stores compressed representations (hashes) of problematic software asset characteristics rather than complete copies of the assets themselves. This copying approach allows rapid comparison during installation checks while using minimal storage space and computational resources, significantly reducing processing time compared to traditional full-scanning methods.

Inventive Principle:

Principle #26Copying

4Measurement precision

If comprehensive security checking of all software assets is performed, then detection accuracy is improved, but system complexity and computational overhead increase

Engineering Contradiction:

Improvedetection accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system applies partial action by performing security checks only on specific software assets that are identified as potentially problematic through the probabilistic data structure, rather than comprehensively analyzing every asset in every application. This selective approach maintains high detection accuracy for malicious assets while significantly reducing system complexity and computational overhead.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20250238345A1Techniques for displaying warnings about potentially problematic software applications

Publication Date: 2025.07.24 APPLE INC

AI summary

This Application sets forth techniques for displaying warnings when potentially problematic software applications are launched on computing devices. According to some embodiments, a computing device can implement the steps of (1) maintaining a probabilistic data structure that is based on a plurality of software application assets that have been flagged as problematic, (2) installing a software application that is comprised of at least one software application asset, (3) identifying, by interfacing with the probabilistic data structure and a management entity, that the at least one software application asset has in fact been flagged as problematic, (4) assigning, to the software application, an informational package that is received from the management entity and that pertains to the at least one software application asset, and (5) displaying, in association with launching the software application, a user interface that is derived, at least in part, from the informational package.