Immutable records based generation of machine learning models for dynamically triggering actions
US11405459B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 16, 2019 |
| Grant date | Aug 2, 2022 |
| Priority date | — |
| Expiry date | Feb 17, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L9/50
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Machine Learning (ML) models are deployed in digital platforms for data analytics. However, it is realized that there is growing trends of recognition that machine learning models expose new vulnerabilities in software systems, for instance training data poisoning, adversarial responses, model extraction, and the like. Embodiments of the present disclosure provide systems and methods for safeguarding training dataset by exploiting immutability feature and generating immutable machine learning models for data analytics. More specifically, immutable records of events are governed by smart contracts within highly secure permissioned distributed ledger. This dataset is used for training multiple machine learning models which are immutable in nature and further utilized for triggering actions for incoming request(s) from IoT platforms.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.