Invention Grant
- Patent Title: Internal malware data item clustering and analysis
- Patent Title (中): 内部恶意软件数据项集群和分析
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Application No.: US14486991Application Date: 2014-09-15
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Publication No.: US09344447B2Publication Date: 2016-05-17
- Inventor: David Cohen , Jason Ma , Bing Jie Fu , Ilya Nepomnyashchiy , Steven Berler , Alex Smaliy , Jack Grossman , James Thompson , Julia Boortz , Matthew Sprague , Parvathy Menon , Michael Kross , Michael Harris , Adam Borochoff
- Applicant: Palantir Technologies Inc.
- Applicant Address: US CA Palo Alto
- Assignee: Palantir Technologies Inc.
- Current Assignee: Palantir Technologies Inc.
- Current Assignee Address: US CA Palo Alto
- Agency: Knobbe, Martens, Olson & Bear, LLP
- Main IPC: G06Q40/00
- IPC: G06Q40/00 ; H04L29/06 ; G06F17/30

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 analysis (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.
Public/Granted literature
- US20160006749A1 INTERNAL MALWARE DATA ITEM CLUSTERING AND ANALYSIS Public/Granted day:2016-01-07
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