Invention Grant
- Patent Title: Network monitoring of time synchronization protocols using convolutional neural networks
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Application No.: US16737577Application Date: 2020-01-08
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Publication No.: US11115290B2Publication Date: 2021-09-07
- Inventor: Rohan Yash Ramlall , Matthew Ralph Capella
- Applicant: The United States of America as Represented by the Secretary of the Navy
- Applicant Address: US CA San Diego
- Assignee: The United States of America as Represented by the Secretary of the Navy
- Current Assignee: The United States of America as Represented by the Secretary of the Navy
- Current Assignee Address: US CA San Diego
- Agency: Naval Information Warfare Center, Pacific
- Agent Kyle Eppele; James McGee
- Main IPC: H04L7/00
- IPC: H04L7/00 ; H04L12/24 ; G06N3/08 ; H04L12/757 ; H04L29/12

Abstract:
A device and method monitor integrity of a communication network. A local clock maintains a local time. A network interface receives time synchronization packets and associates with each the local time of receipt at the network interface. A processing system implements a neural network for classifying whether integrity of the communication network is compromised from originate, receive, and transmit values determined from the time synchronization packets. The originate value is a difference between the local time of the receipt of the request packet and a transmission timestamp of the request packet. The receive value is a difference between a reception timestamp of the request packet or the reply packet and the local time of the receipt of the request packet or the reply packet. The transmit value is a difference between the local time of the receipt of the reply packet and a transmission timestamp of the reply packet.
Public/Granted literature
- US20210211360A1 Network Monitoring of Time Synchronization Protocols Using Convolutional Neural Networks Public/Granted day:2021-07-08
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