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Detection of Distributed Denial of Service Attacks Using Artificial Neural Networks
2017
International Journal of Advanced Computer Science and Applications
Distributed Denial of Services (DDoS) is a ruthless attack that targets a node or a medium with its false packets to decline the network performance and its resources. Neural networks is a powerful tool to defend a network from this attack as in our proposed solution a mitigation process is invoked when an attack is detected by the detection system using the known patters which separate the legitimate traffic from malicious traffic that were given to artificial neural networks during its
doi:10.14569/ijacsa.2017.080841
fatcat:aj5vol6llvffdpuk23pb2t73ru