METHODS, SYSTEMS, AND MEDIA FOR MASQUERADE ATTACK DETECTION BY MONITORING COMPUTER USER BEHAVIOR
Patent №
US 8,769,684
Granted
2014-07-01
Filed 2009
Owner
THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
Lab
—
AI components
5
ml · nlp · kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
12628587
Methods, systems, and media for masquerade attack detection by monitoring computer user behavior are provided. In accordance with some embodiments, a method for detecting masquerade attacks is provided, the method comprising: monitoring a first plurality of user actions and access of decoy information in a computing environment; generating a user intent model for a category that includes at least one of the first plurality of user actions; monitoring a second plurality of user actions; comparing the second plurality of user actions with the user intent model by determining deviation from the generated user intent model; identifying whether the second plurality of user actions is a masquerade attack based at least in part on the comparison; and generating an alert in response to identifying that the second plurality of user actions is the masquerade attack and in response to determining that the second plurality of user actions includes accessing the decoy information in the computing environment.
AI classification
Ownership
THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
assignment · 240600812
Assignors
STOLFO, SALVATORE J, BEN SALEM, MALEK, HERSHKOP, SHLOMO
On an employer assignment, the assignors are typically the inventors.