Method and system for privacy preserving classification of websites URL
US12132818B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 18, 2021 |
| Grant date | Oct 29, 2024 |
| Priority date | — |
| Expiry date | Apr 25, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2209/46
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Malicious website detection has been very crucial in timely manner to avoid phishing. User privacy also needs to be maintained at the same time. A system and method for classifying a website URL have been provided. The system is configured to achieve end-to-end privacy for machine learning based malicious URL detection. The system provides privacy preserving malicious URL detection models based on Fully Homomorphic Encryption (FHE) approach either using deep neural network (DNN), using logistic regression or using a hybrid approach of both. The system is utilizing a split architecture (client-server) where-in feature extraction is done by a client machine and classification is done by a server. The client machine encrypts the query using FHE and sends it to the server which hosts machine learning model. During this process, the server doesn't learn any information about the query.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.