External malware data item clustering and analysis
US9965937B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 29, 2014 |
| Grant date | May 8, 2018 |
| Priority date | — |
| Expiry date | Feb 23, 2036 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1433
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, and provide results of the automated analysis in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a compact, human-readable analysis of the data clusters. The human-readable analyzes (also referred to herein as “summaries” or “conclusions”) of the data clusters may be organized into an interactive user interface so as to enable an analyst to quickly navigate among information associated with various data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation. Embodiments of the present disclosure also relate to automated scoring of the clustered data structures.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.