Paper Info
Title
Detection of Distributed Denial of Service (DDoS) Attacks Using Artificial Intelligence on Cloud
Abstract
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.
Year
DOI
Venue
2018
10.1109/SERVICES.2018.00031
2018 IEEE World Congress on Services (SERVICES)
Keywords
Field
DocType
DDoS,Anomaly,Signature,Neural,Cloud
Data mining,Spark (mathematics),Denial-of-service attack,Computer science,Artificial neural network,Intrusion detection system,Cloud computing
Conference
ISSN
ISBN
Citations 
2378-3818
978-1-5386-7375-1
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Sabah Alzahrani100.34
Liang Hong219333.79