View source for 18097738. SCREEN-ANALYSIS BASED DEVICE SECURITY simplified abstract (Google LLC)

=SCREEN-ANALYSIS BASED DEVICE SECURITY=


==Organization Name==

[[:Category:Google LLC|Google LLC]]


[[Category:Google LLC]]

==Inventor(s)==

[[:Category:Matthew Sharifi of Kilchberg (CH)|Matthew Sharifi of Kilchberg (CH)]][[Category:Matthew Sharifi of Kilchberg (CH)]]

[[:Category:Kai Wang of Santa Monica CA (US)|Kai Wang of Santa Monica CA (US)]][[Category:Kai Wang of Santa Monica CA (US)]]

[[:Category:David Petrou of Brooklyn NY (US)|David Petrou of Brooklyn NY (US)]][[Category:David Petrou of Brooklyn NY (US)]]

==SCREEN-ANALYSIS BASED DEVICE SECURITY - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18097738 titled 'SCREEN-ANALYSIS BASED DEVICE SECURITY

==Simplified Explanation==

The patent application describes a system and method for content-based security on computing devices. Here are the key points:

* The system identifies the content being rendered by a mobile application during a session.
* It generates feature vectors from the content and compares them to a classification model.
* If the feature vectors do not match the model, a challenge is provided to authenticate the user of the mobile device.
* The system can also determine if the device is located at a trusted location.
* It captures information from the session and generates feature vectors for training.
* The system repeats this process until a training criteria is met.
* It then trains a classification model using the feature vectors and authenticates the user using the trained model.

Potential applications of this technology:

* Enhancing security on mobile devices by authenticating users based on the content being rendered.
* Preventing unauthorized access to sensitive information by challenging users when the content does not match the expected patterns.
* Training the system to recognize and authenticate users based on their typical content usage patterns.

Problems solved by this technology:

* Addressing the issue of unauthorized access to mobile devices and sensitive information.
* Providing an additional layer of security by analyzing the content being rendered during a session.
* Reducing the risk of data breaches and unauthorized usage of computing devices.

Benefits of this technology:

* Improved security and protection of sensitive information on mobile devices.
* Enhanced user authentication by considering the content being rendered, rather than relying solely on traditional methods like passwords.
* Ability to adapt and learn from user behavior to improve the accuracy of authentication.


==Original Abstract Submitted==

Systems and methods are provided for a content-based security for computing devices. An example method includes identifying content rendered by a mobile application, the content being rendered during a session, generating feature vectors from the content and determining that the feature vectors do not match a classification model. The method also includes providing, in response to the determination that the feature vectors do not match the classification model, a challenge configured to authenticate a user of the mobile device. Another example method includes determining a computing device is located at a trusted location, capturing information from a session, the information coming from content rendered by a mobile application during the session, generating feature vectors for the session, and repeating this until a training criteria is met. The method also includes training a classification model using the feature vectors and authenticating a user of the device using the trained classification model.



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