Malicious cloud-based resource allocation detection
US11159567B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 11, 2018 |
| Grant date | Oct 26, 2021 |
| Priority date | — |
| Expiry date | Nov 15, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and computer program products are described herein for detecting malicious cloud-based resource allocations. Such detection may be achieved using machine learning-based techniques that analyze sequences of cloud-based resource allocations to determine whether such sequences are performed with a malicious intent. For instance, a sequence classification model may be generated by training a machine learning-based algorithm on both resource allocation sequences that are known to be used for malicious purposes and resource allocation sequences that are known to be used for non-malicious or benign purposes. Using these sequences, the machine learning-based algorithm learns what constitutes a malicious resource allocation sequence and generates the sequence classification model. The sequence classification model is used to classify any sequence of resource allocation operations performed via a valid user's cloud services subscription provided thereto as being a malicious sequence or a non-malicious sequence.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.