Google llc (20240348607). SYSTEMS AND METHODS FOR SECURE AND PRIVACY PRESERVING DEVICE CLASSIFICATION simplified abstract

SYSTEMS AND METHODS FOR SECURE AND PRIVACY PRESERVING DEVICE CLASSIFICATION

Organization Name

google llc

Inventor(s)

Mahesh Keralapura Manjunatha of Mountain View CA (US)

Chiu Wah So of Mountain View CA (US)

SYSTEMS AND METHODS FOR SECURE AND PRIVACY PRESERVING DEVICE CLASSIFICATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240348607 titled 'SYSTEMS AND METHODS FOR SECURE AND PRIVACY PRESERVING DEVICE CLASSIFICATION

The abstract of the patent application describes a system and method for secure and privacy-preserving device classification. The system involves a server maintaining data records with requests and known classification values, training context obfuscation and classification models, and transmitting these models to client devices for classification purposes.

• The server maintains data records with requests and known classification values.
• The server trains a context obfuscation model using the requests and known classification values.
• The server trains a classification model using resources and category information from a data structure in the memory of the client device.
• The server transmits the context obfuscation model to a different plurality of client devices.
• The server receives a request for classification including a classification vector and request metadata.
• The server determines the classification of the device responsible for the request using the classification model.
• The server transmits the device classification to the device responsible for the request.

Potential Applications: - Enhancing privacy and security in device classification processes. - Improving accuracy and efficiency in classifying devices based on requests.

Problems Solved: - Addressing privacy concerns in device classification. - Ensuring secure transmission of classification information.

Benefits: - Enhanced privacy protection for device users. - Improved accuracy and efficiency in device classification.

Commercial Applications: Title: Secure Device Classification System for Enhanced Privacy Protection This technology can be utilized in industries such as cybersecurity, IoT, and data analytics to ensure secure and accurate device classification processes. It can also be integrated into software applications and platforms that require privacy-preserving classification capabilities.

Questions about Secure and Privacy-Preserving Device Classification: 1. How does the system ensure the privacy of device users during the classification process? The system ensures privacy by training context obfuscation models and securely transmitting classification information to client devices.

2. What are the potential implications of this technology in the cybersecurity industry? This technology can significantly enhance security measures in the cybersecurity industry by providing a secure and efficient device classification process.

Original Abstract Submitted

at least one aspect of the present disclosure is directed to systems and methods of secure and privacy preserving device classification. a server can maintain a plurality of data records, each including an indication of a request and a known classification value. the server can train a context obfuscation model using each of the plurality of requests and known classification values. the server can train a classification model using resources and category information from a data structure in the memory of the client device. the server can transmit the context obfuscation model to a different plurality of client devices. the server can receive a request for classification including a classification vector and request metadata. the server can determine the classification of the device responsible for the request using the classification model. the server can transmit the device classification to the device responsible for the request.