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:
Apr. 16, 2024

Filed:

Dec. 01, 2019
Applicant:

British Telecommunications Public Limited Company, London, GB;

Inventors:

Robert Hercock, London, GB;

Giulio Giaconi, London, GB;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/54 (2013.01); G06F 18/214 (2023.01); G06F 21/55 (2013.01); G06F 21/57 (2013.01); G06N 3/044 (2023.01); G06N 3/084 (2023.01);
U.S. Cl.
CPC ...
G06F 21/577 (2013.01); G06F 18/214 (2023.01); G06F 21/54 (2013.01); G06F 21/554 (2013.01); G06N 3/044 (2023.01); G06N 3/084 (2013.01);
Abstract

A computer implemented method of detecting an increased vulnerability of a software system including a plurality of software components, the method including generating a vector representation of each software component derived from a neural network trained using training data defined from known vulnerabilities of the software components in the software system, wherein the training data is augmented by replicating each of one or more training data items in the training data responsive to one or more attributes of a vulnerability corresponding to the training data item; aggregating the vector representations for the software component to an aggregate vector representation for a particular time; repeating the generating and the aggregating for a plurality of points in time to generate multiple generations of aggregate vector representations; comparing the multiple generations of aggregate vector representations to detect a change in an aggregate vector representation exceeding a maximum threshold degree of change as an indication of an increased vulnerability of the software system.


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