By Topic

Passive monitoring method for analysis Quantum Key Distribution performance statistics

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Pattaranantaku, M. ; Opt. & Quantum Commun. Lab. (OQC), Thailand ; Phodong, K. ; Issariyapat, C. ; Sangwongngam, P.
more authors

This paper emphasizes the development of network monitoring appliance for monitoring network health, network resources and for further analysis of Quantum Key Distribution (QKD) performance where QKD devices located in different locations. It provides tools and services for end users who enable to view real time QKD performance statistics on the network. As it is very important to keep track of each key parameter involved with device status and QKD temporal evolution to perform traffic analysis and to determine the error probability during the phase of key generation. The system has been developed from a Network Health Analysis and Monitoring system (NetHAM) implemented under an open source platform, offered more features both graphical statistics display and user friendly interface. In addition, this paper proposed a conformance passive monitoring method to analysis the QKD performance. The log from QKD layer has been converted to well organized database format before storing it in the database server. The relevant information will be invoked for network topology display, link and device status that would be helpful for end user can easily view the QKD performance with frequently updated through the dynamic graphical display and for further historical data analysis.

Published in:

Computer Science and Software Engineering (JCSSE), 2011 Eighth International Joint Conference on

Date of Conference:

11-13 May 2011