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:
Jun. 09, 2020

Filed:

Oct. 25, 2017
Applicant:

Ping Identity Corporation, Denver, CO (US);

Inventors:

Udayakumar Subbarayan, Bangalore, IN;

Bernard Harguindeguy, Atherton, CA (US);

Anoop Krishnan Gopalakrishnan, Bangalore, IN;

Nagabhushana Angadi, Bengaluru, IN;

Ashwani Kumar, Bengaluru, IN;

Santosh Sahu, Bangalore, IN;

Abdu Raheem Poonthiruthi, Bangalore, IN;

Avinash Kumar Sahu, Bangalore, IN;

Yasar Kundottil, Bangalore, IN;

Assignee:

Ping Identity Corporation, Denver, CO (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06F 21/55 (2013.01); G06N 20/00 (2019.01); G06F 21/62 (2013.01);
U.S. Cl.
CPC ...
H04L 63/0281 (2013.01); G06F 21/55 (2013.01); G06F 21/554 (2013.01); G06F 21/6281 (2013.01); G06N 20/00 (2019.01); H04L 63/02 (2013.01); H04L 63/04 (2013.01); H04L 63/0807 (2013.01); H04L 63/0876 (2013.01); H04L 63/1425 (2013.01); H04L 63/1458 (2013.01); H04L 63/1491 (2013.01);
Abstract

The present invention relates to the field of networking and API/application security. In particular, the invention is directed towards methods, systems and computer program products for deep learning based API traffic analysis and network security. The invention provides an automated approach to threat and/or attack detection by machine learning based accumulation and/or interpretation of various API/application traffic patterns, identifying and mapping characteristics of normal traffic for each API, and thereafter identifying any deviations from the normal traffic parameter baselines, which deviations may be classified as anomalies or attacks.


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