The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Sep. 14, 2021
Filed:
May. 31, 2018
Applicant:
Microsoft Technology Licensing, Llc, Redmond, WA (US);
Inventors:
Assignee:
MICROSOFT TECHNOLOGY LICENSING, LLC, Redmond, WA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); H04L 9/06 (2006.01); G06Q 20/06 (2012.01); G06F 21/60 (2013.01); H04L 9/32 (2006.01); G06F 21/64 (2013.01); H04L 29/06 (2006.01); G06Q 20/38 (2012.01); G06Q 20/40 (2012.01); G06Q 20/02 (2012.01); G06F 16/904 (2019.01); G06N 20/00 (2019.01); G06F 11/30 (2006.01); G06F 11/34 (2006.01); G06F 9/451 (2018.01); G06F 16/21 (2019.01); G06F 9/54 (2006.01); G06F 16/27 (2019.01); G06N 3/08 (2006.01); H04W 4/70 (2018.01);
U.S. Cl.
CPC ...
H04L 9/0637 (2013.01); G06F 9/451 (2018.02); G06F 9/542 (2013.01); G06F 9/546 (2013.01); G06F 11/3072 (2013.01); G06F 11/3476 (2013.01); G06F 16/212 (2019.01); G06F 16/27 (2019.01); G06F 16/904 (2019.01); G06F 21/602 (2013.01); G06F 21/645 (2013.01); G06N 20/00 (2019.01); G06Q 20/02 (2013.01); G06Q 20/06 (2013.01); G06Q 20/3827 (2013.01); G06Q 20/405 (2013.01); H04L 9/0643 (2013.01); H04L 9/3236 (2013.01); H04L 9/3239 (2013.01); H04L 9/3242 (2013.01); H04L 9/3247 (2013.01); H04L 9/3265 (2013.01); H04L 63/101 (2013.01); H04L 63/102 (2013.01); H04L 63/123 (2013.01); G06N 3/08 (2013.01); G06Q 2220/00 (2013.01); H04L 2209/38 (2013.01); H04L 2209/56 (2013.01); H04W 4/70 (2018.02);
Abstract
A blockchain analytics system facilitates determination of parameters of blockchain objects for analytics. Examples of parameters of the blockchain object may include an identity of a participant, a role of a participant, a type of the blockchain object and the like. The system may store parameters of blockchain objects in the data repository. The system may use the determined parameters to generate a machine learning blockchain analytics model. The system may generate visualizations, detect patterns and/or for detecting anomalies based on the machine learning blockchain analytics model.