INTRUSION DETECTION USING MDL CLUSTERING

Patent №

US 9,106,689

Granted

2015-08-11

Filed 2011

Owner

LOCKHEED MARTIN CORPORATION

+1 more

Lab

AI components

4

ml · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13102899

An intrusion detection method, system and computer-readable media are disclosed. The system can include a processor programmed to perform computer network intrusion detection. The intrusion detection can include an identification module and a detection module. The identification module can be adapted to perform semi-supervised machine learning to identify key components of a network attack and develop MDL models representing those attack components. The detection module can cluster the MDL models and use the clustered MDL models to classify network activity and detect polymorphic or zero-day attacks.

Machine learningKnowledge representationPlanningAI hardwareH04L 63/1425G06F 21/552G06F 21/554H04L 63/14H04L 63/1408

AI classification

Machine learning1.00
Knowledge representation1.00
AI hardware1.00
Planning0.76
Vision0.42
Natural language0.04
Evolutionary computation0.00
Speech0.00

Ownership

LOCKHEED MARTIN CORPORATION

assignment · 266590396

GENERAL ELECTRIC COMPANY

assignment · 266590676

Assignors

GENERAL ELECTRIC COMPANY, BARNETT, BRUCE, EVANS, SCOTT CHARLES, SCHOLZ, BERNHARD, YAN, WEIZHONG, MARKHAM, THOMAS

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

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