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:
Aug. 28, 2018

Filed:

Jun. 24, 2015
Applicant:

Oracle International Corporation, Redwood Shores, CA (US);

Inventors:

Ganesh Kirti, San Jose, CA (US);

Kamalendu Biswas, San Ramon, CA (US);

Prakash Gurumurthy, Santa Clara, CA (US);

Raja S. Alomari, Milpitas, CA (US);

Sumedha Nalin Perera, San Mateo, CA (US);

Assignee:

Oracle International Corporation, Redwood Shores, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 29/08 (2006.01); H04L 29/06 (2006.01);
U.S. Cl.
CPC ...
H04L 67/306 (2013.01); H04L 63/1416 (2013.01); H04L 63/107 (2013.01); H04L 63/108 (2013.01); H04L 63/1433 (2013.01);
Abstract

Systems and methods for contextual and cross application threat detection in cloud applications in accordance with embodiments of the invention are disclosed. In one embodiment, a method for detecting threat activity in a cloud application using past activity data from cloud applications includes receiving activity data concerning actions performed by a user account associated with a user within a monitored cloud application, receiving external contextual data about the user that does not concern actions performed using the user account within the monitored cloud application, where the external contextual data is retrieved from outside of the monitored cloud application, deriving a baseline user profile using the activity data and external contextual data and associating the baseline user profile with the user account, and determining the likelihood of anomalous activity using the baseline user profile.


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