Patent · US Active

Methods and apparatus for analyzing sequences of application programming interface traffic to identify potential malicious actions

US10699010B2 · kind B2 · utility

14Cited by

16References

20Claims

0Family size

Assignee

Ping Identity Corporation · US

Inventors

Udayakumar Subbarayan · Bengaluru, IN
Bernard Harguindeguy · Atherton, US
Isidore Rosenblum · Pleasanton, US
Yasar Kundottil · Kanchinakote, IN
Aditya Gunuganti · Hyderabad, IN
Amit Sharma · Bengaluru, IN
Avinash Kumar Sahu · Kanchinakote, IN

Key dates

Filing date	Oct 12, 2018
Grant date	Jun 30, 2020
Priority date	—
Expiry date	Oct 12, 2038

Classification

Technology area (CPC H)Electricity
CPC primaryH04L63/1441
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

In some embodiments, a method includes receiving, at a processor of a server, a first application programming interface (API) call from a client device and providing an indication associated with the first API call as an input to a machine learning model such that the machine learning model identifies a set of parameters associated with a set of likely subsequent API calls. The method can further include receiving a second API call from the client device, identifying the second API call as an anomalous API call based on the second API call not meeting the set of parameters associated with the set of likely subsequent API calls, and sending a signal to perform a remedial action based on the identifying.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.