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:
Jan. 25, 2022

Filed:

Sep. 28, 2018
Applicant:

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

Inventors:

Zhou Li, Malden, MA (US);

Alex Zaslavsky, Brookline, MA (US);

Kevin Bowers, Melrose, MA (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06F 21/62 (2013.01); G06F 17/15 (2006.01); G06F 21/60 (2013.01);
U.S. Cl.
CPC ...
H04L 63/102 (2013.01); G06F 17/15 (2013.01); G06F 21/604 (2013.01); G06F 21/629 (2013.01); H04L 63/104 (2013.01); G06F 2221/2141 (2013.01);
Abstract

Techniques are provided for selecting attributes to cluster users for a user application entitlement evaluation. An exemplary method comprises obtaining enterprise reference data indicating a plurality of attributes for a plurality of enterprise users; obtaining enterprise entitlement data indicating user application entitlements for the plurality of enterprise users; selecting at least one of the plurality of attributes as a cluster attribute using predefined information content rules applied on the enterprise entitlement data; determining a probability of a user application entitlement for the one or more user application entitlements based on a number of users for a plurality of values of the cluster attribute and a number of users for a plurality of pairs of the cluster attribute and a value of the one or more user application entitlements; and identifying anomalies in the enterprise entitlement data based on the probability of the user application entitlement for at least one user application entitlement and at least one predefined anomaly threshold.


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