Apple inc. (20240104186). TECHNIQUES FOR IDENTIFYING VETTED SOFTWARE APPLICATIONS THAT PROVIDE UNAUTHORIZED FEATURES simplified abstract
Contents
- 1 TECHNIQUES FOR IDENTIFYING VETTED SOFTWARE APPLICATIONS THAT PROVIDE UNAUTHORIZED FEATURES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TECHNIQUES FOR IDENTIFYING VETTED SOFTWARE APPLICATIONS THAT PROVIDE UNAUTHORIZED FEATURES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
TECHNIQUES FOR IDENTIFYING VETTED SOFTWARE APPLICATIONS THAT PROVIDE UNAUTHORIZED FEATURES
Organization Name
Inventor(s)
Tanmay Wadhwa of Milpitas CA (US)
TECHNIQUES FOR IDENTIFYING VETTED SOFTWARE APPLICATIONS THAT PROVIDE UNAUTHORIZED FEATURES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104186 titled 'TECHNIQUES FOR IDENTIFYING VETTED SOFTWARE APPLICATIONS THAT PROVIDE UNAUTHORIZED FEATURES
Simplified Explanation
The patent application describes techniques for identifying unauthorized features in vetted software applications by comparing current operating characteristics to original operating characteristics identified during the vetting process.
- Identifying original operating characteristics during vetting process
- Comparing current operating characteristics to original ones to detect anomalies
Potential Applications
The technology described in this patent application could be applied in various industries where software security is crucial, such as cybersecurity, software development, and digital rights management.
Problems Solved
This technology helps in detecting unauthorized features in software applications, which can prevent security breaches, data leaks, and unauthorized access to sensitive information.
Benefits
- Enhanced software security - Prevention of unauthorized access - Protection of sensitive data
Potential Commercial Applications
"Software Security Enhancement Techniques for Unauthorized Feature Detection"
Possible Prior Art
There is prior art related to software vetting processes and anomaly detection in software applications, but specific techniques for identifying unauthorized features may not have been addressed in prior patents or publications.
Unanswered Questions
How does this technology impact user experience in software applications?
This article does not delve into the potential effects on user experience when unauthorized features are detected and action is taken. It would be interesting to explore how users perceive the removal of such features and if it affects their overall satisfaction with the software.
What are the potential legal implications of using this technology in software development?
The patent application focuses on the technical aspects of identifying unauthorized features, but it does not address the legal ramifications of such detection. It would be important to consider how this technology aligns with data privacy laws and regulations, as well as potential liabilities for software developers.
Original Abstract Submitted
this application sets forth techniques for identifying when a vetted software application transitions into providing unauthorized features. in particular, the techniques involve identifying original operating characteristics of a software application during a vetting process that is performed by a management entity (and/or other vetting entities). the vetting process produces a vetted software application, which includes information about the original operating characteristics of the software application. the vetted software application is then distributed and installed onto computing devices. in turn, computing devices that execute the vetted software application can gather its current operating characteristics and compare them to the original operating characteristics to identify any anomalies. appropriate action can then be taken, such as notifying the management entity and/or terminating the execution of the vetted software application.
