Detecting BHP Flood Attacks in OBS Networks: A Machine Learning Prospective
Journal: International Journal of Sciences and Applied Information Technology (IJSAIT) (Vol.8, No. 6)Publication Date: 2019-12-15
Authors : Adel Rajab;
Page : 164-174
Keywords : Burst Header Packet (BHP) flood attack; Classification; Computer Network; Machine Learning; Network Security; OBS Network;
Abstract
The Optical Bust Switching (OBS) network has become the most promising switching technology for building the next generation of internet backbone infrastructure. However, an OBS network still faces a number of security and Quality of Service (QoS) challenges, particularly from Burst Header Packet (BHP) flood attacks. If a source node (ingress) becomes compromised by an attacker, overloading the network with malicious BHPs, the network resources will be reserved without proper utilization.
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