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1. A Semi-Supervised Machine Learning Approach Using K-Means Algorithm to Prevent Burst Header Packet Flooding Attack in Optical Burst Switching Network.

Author

Muhammad Kamrul Hossain Patwary and Md. Mokammel Haque

Subjects
K-means clustering, OPTICAL switching, SWITCHING systems (Telecommunication), MACHINE learning, OPTICAL communications, SUPERVISED learning
Abstract

Copyright of Baghdad Science Journal is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2019
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