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.

Date of Patent:
Dec. 10, 2019

Filed:

Nov. 01, 2017
Applicant:

Emc Ip Holding Company Llc, Hopkinton, MA (US);

Inventors:

Alex Zaslavsky, Brookline, MA (US);

Liron Liptz, Herzelia, IL;

Shay Amram, Holon, IL;

Kevin Bowers, Melrose, MA (US);

Assignee:

EMC IP Holding Company LLC, Hopkinton, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06F 16/29 (2019.01); G06F 16/23 (2019.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G06F 16/2365 (2019.01); G06F 16/2379 (2019.01); G06F 16/29 (2019.01); H04L 63/08 (2013.01);
Abstract

Techniques are provided for determining anomaly scores for transactions based on adaptive clustering of the location of a given user over multiple transactions. In one embodiment, a method comprises obtaining transaction data for a given computer transaction by a user; extracting one or more location features from the transaction data for the given computer transaction; determining a user location of the given computer transaction based on the one or more location features; assigning the given computer transaction to one user location cluster of a plurality of user location clusters of the user based on a distance between the user location and centroids of each of the plurality of user location clusters, when the determined user location satisfies one or more predefined distance criteria; determining an anomaly score for the given computer transaction based at least in part on a centroid location of the assigned user location cluster; and updating the centroid location of the assigned user location cluster based on the user location.


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