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. 18, 2020

Filed:

Aug. 15, 2017
Applicant:

British Telecommunications Public Limited Company, London, GB;

Inventors:

Fadi El-Moussa, London, GB;

Ian Herwono, London, GB;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 21/57 (2013.01); G06N 20/00 (2019.01); G06N 3/08 (2006.01); G06F 21/53 (2013.01); G06F 9/455 (2018.01); G06N 3/04 (2006.01); H04L 29/08 (2006.01); H04L 29/06 (2006.01);
U.S. Cl.
CPC ...
G06F 21/577 (2013.01); G06F 9/45558 (2013.01); G06F 21/53 (2013.01); G06N 3/0445 (2013.01); G06N 3/0472 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); H04L 63/145 (2013.01); H04L 63/1416 (2013.01); H04L 67/10 (2013.01); G06F 2009/45587 (2013.01); G06F 2221/034 (2013.01); H04L 2463/144 (2013.01);
Abstract

A computer implemented method to determine whether a target virtual machine (VM) in a virtualized computing environment is susceptible to a security attack, the method comprising: training a machine learning algorithm as a classifier based on a plurality of training data items, each training data item corresponding to a training VM and including a representation of parameters for a configuration of the training VM and a representation of characteristics of security attacks for the training VM; generating a data structure for storing one or more relationships between VM configuration parameters and attack characteristics, wherein the data structure is generated by sampling the trained machine learning algorithm to identify the relationships; determining a set of configuration parameters for the target VM; and identifying attack characteristics in the data structure associated with configuration parameters of the target VM as characteristics of attacks to which the target VM is susceptible.


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