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:
Jun. 04, 2024

Filed:

Sep. 11, 2019
Applicants:

Nec Laboratories Europe Gmbh, Heidelberg, DE;

Universidad DE Murcia, Murcia, ES;

Inventors:

Dimitrios Papamartzivanos, Karlovasi, GR;

Roberto Bifulco, Heidelberg, DE;

Georgios Kambourakis, Karlovasi, GR;

Felix Gomez Marmol, Murcia, ES;

Assignee:

NEC CORPORATION, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/00 (2022.01); G06F 8/60 (2018.01); G06N 3/088 (2023.01); H04L 9/40 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G06F 8/60 (2013.01); G06N 3/088 (2013.01);
Abstract

A method adapts network intrusion detection. The method includes: a) deploying a network traffic capture system and collecting network packet traces; b) using a network audit tool, extracting features from the collected network packet traces; c) feeding the extracted features as unlabeled data into a representation function, and, utilizing the representation function as an unsupervised feature learning algorithm, learning a new representation of the unlabeled data; d) providing a labeled training set capturing examples of malicious network traffic, and, using the learned new representation of the unlabeled data, modifying the labeled training set to obtain a new training set; and e) using the new training set, training a traffic classification machine learning model.


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