The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 11, 2015

Filed:

May. 06, 2011
Applicants:

Eric Steinbrecher, Windsor, NY (US);

Jeremy Impson, Vestal, NY (US);

Bruce Barnett, Troy, NY (US);

Scott Charles Evans, Burnt Hills, NY (US);

Bernhard Scholz, Ballston Lake, NY (US);

Weizhong Yan, Clifton Park, NY (US);

Thomas Markham, Niskayuna, NY (US);

Stephen J. Dill, Frederick, MD (US);

Inventors:

Eric Steinbrecher, Windsor, NY (US);

Jeremy Impson, Vestal, NY (US);

Bruce Barnett, Troy, NY (US);

Scott Charles Evans, Burnt Hills, NY (US);

Bernhard Scholz, Ballston Lake, NY (US);

Weizhong Yan, Clifton Park, NY (US);

Thomas Markham, Niskayuna, NY (US);

Stephen J. Dill, Frederick, MD (US);

Assignee:

Lockheed Martin Corporation, Bethesda, MD (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06F 21/55 (2013.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G06F 21/552 (2013.01); G06F 21/554 (2013.01); H04L 63/14 (2013.01); H04L 63/1408 (2013.01);
Abstract

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.


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