Patent · US Active

Method and system for adaptive network intrusion detection

US12003522B2 · kind B2 · utility

0Cited by

3References

18Claims

0Family size

Assignee

NEC CORPORATION · JP

Inventors

Dimitrios Papamartzivanos · Eppelheim, DE
Roberto Bifulco · Heidelberg, DE
Georgios Kambourakis · Neo Karlovasi, GR
Felix Gomez Marmol · Murcia, ES

Key dates

Filing date	Sep 11, 2019
Grant date	Jun 4, 2024
Priority date	—
Expiry date	Nov 18, 2040

Classification

Technology area (CPC H)Electricity
CPC primaryH04L63/1433
WIPO fieldComputer technology
WIPO sectorElectrical engineering

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.