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. 19, 2022

Filed:

Apr. 30, 2020
Applicant:

Indian Institute of Technology, Bombay, Mumbai, IN;

Inventors:

Abhiram Singh, Mumbai, IN;

Sidharth Sharma, Mumbai, IN;

Ashwin Gumaste, Mumbai, IN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04L 41/16 (2022.01); G06N 3/08 (2006.01); H04L 61/5007 (2022.01); H04L 41/147 (2022.01); H04L 45/74 (2022.01);
U.S. Cl.
CPC ...
H04L 41/16 (2013.01); G06N 3/08 (2013.01); H04L 41/147 (2013.01); H04L 45/74 (2013.01); H04L 61/2007 (2013.01);
Abstract

Methods and apparatuses for using a neural network based model to predict an output port for a destination Internet Protocol (IP) address in a network are described. Some embodiments can construct an untrained model comprising a graph neural network (GNN), a first artificial feed-forward neural network (ANN), and a second ANN. Next, the embodiments can train the untrained model to obtain a trained model by: training the first ANN using at least IP addresses of destination nodes in the network, training the GNN using at least an adjacency matrix of the network and initial node features computed using the IP addresses of destination nodes in the network, and training the second ANN by combining the output of the first ANN and an output of the GNN using an attention mechanism. The embodiments can then use the trained model to predict the output port for the destination IP address.


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