SYSTEM AND METHOD FOR REAL-TIME DETECTION OF ANOMALIES IN DATABASE USAGE

Patent №

US 10,409,665

Granted

2019-09-10

Filed 2015

Owner

NORTHROP GRUMMAN SYSTEMS CORPORATION

Lab

AI components

3

kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14732162

A system and method for real-time detection of anomalies in database or application usage is disclosed. Embodiments provide a mechanism to detect anomalies in database or application usage, such as data exfiltration attempts, first by identifying correlations (e.g., patterns of normalcy) in events across different heterogeneous data streams (such as those associated with ordinary, authorized and benign database usage, workstation usage, user behavior or application usage) and second by identifying deviations/anomalies from these patterns of normalcy across data streams in real-time as data is being accessed. An alert is issued upon detection of an anomaly, wherein a type of alert is determined based on a characteristic of the detected anomaly.

Knowledge representationPlanningAI hardwareG06F 11/079G06F 11/0709G06F 11/0727G06F 11/0751G06F 11/0772G06F 11/0787G06F 21/552G06F 21/6227+3 more

AI classification

Planning0.96
Knowledge representation0.96
AI hardware0.57
Machine learning0.14
Natural language0.01
Vision0.00
Evolutionary computation0.00
Speech0.00

Ownership

NORTHROP GRUMMAN SYSTEMS CORPORATION

assignment · 358400814

Assignors

STEINER, DONALD, DAY, JOHN

On an employer assignment, the assignors are typically the inventors.

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