NETWORK ANOMALY DETECTION

Patent №

US 9,407,652

Granted

2016-08-02

Filed 2015

Owner

PALANTIR TECHNOLOGIES INC.

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14970317

A security system detects anomalous activity in a network. The system logs user activity, which can include ports used, compares users to find similar users, sorts similar users into cohorts, and compares new user activity to logged behavior of the cohort. The comparison can include a divergence calculation. Origins of user activity can also be used to determine anomalous network activity. The hostname, username, IP address, and timestamp can be used to calculate aggregate scores and convoluted scores.

Machine learningNatural languageKnowledge representationPlanningAI hardwareH04L 63/1425G06N 7/01H04L 61/5007H04L 63/083H04L 63/12H04L 63/1416H04L 67/535H04L 2463/143

AI classification

AI hardware1.00
Knowledge representation1.00
Machine learning1.00
Natural language0.92
Planning0.92
Vision0.06
Evolutionary computation0.01
Speech0.00

Ownership

PALANTIR TECHNOLOGIES INC.

assignment · 389890637

Assignors

KESIN, MAXIM, JONES, SAMUEL

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

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