Detection of Distributed Denial of Service (DDoS) Attacks Using Artificial Intelligence on Cloud
This research proposes a system for detecting known
and unknown Distributed Denial of Service (DDoS) Attacks.
The proposed system applies two different intrusion detection
approaches anomaly-based distributed artificial neural
networks(ANNs) and signature-based approach. The Amazon
public cloud was used for running Spark as the fast cluster
engine with varying cores of machines. The experiment results
achieved the highest detection accuracy and detection rate
comparing to signature based or neural networks-based
approach.
KeyWords
DDoS Anomaly Signature Neural Cloud
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