Paper Info
Title
Study of Multistage Anomaly Detection for Secured Cloud Computing Resources in Future Internet
Abstract
Future Internet Groups have been studying networking virtualization and computing virtualization for Test bed. Specially, GENI have adopted cloud computing as computing virtualization technique. In this paper, we describe the multistage anomaly detection scheme of anomaly and symptoms of DDoS attacks for secured cloud computing resource. This scheme is composed by 3 stages. Monitoring stage performs misuse detection by rules of attack patterns to well known DDoS attacks. Lightweight anomaly detection stage could classified volume data into large volume data and small volume data, and applied Bayesian methods to detect anomaly and symptoms of DDoS attack. And focused anomaly detection stage is performed to detect novel DDoS attacks by unsupervised learning algorithm.
Year
DOI
Venue
2011
10.1109/DASC.2011.171
DASC
Keywords
Field
DocType
secured cloud computing resources,secured cloud computing resource,ddos attack,p2p ddos,bayes methods,learning (artificial intelligence),multistage anomaly detection scheme,unsupervised learning algorithm,networking virtualization,virtual machines,future internet groups,computer network security,testbed,dark ip,misuse detection,multistage anomaly detection,lightweight anomaly detection stage,anomaly detection stage,internet,future internet,ddos attacks,monitoring stage,bayesian methods,computing virtualization,cloud computing,attack pattern rules,novel ddos attack,geni,anomaly detection,data analysis,p2p,learning artificial intelligence,bayesian method,test bed,unsupervised learning
Virtualization,Anomaly detection,Attack patterns,Virtual machine,Denial-of-service attack,Computer science,Network security,Computer network,Misuse detection,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-4673-0006-3
3
0.46
References 
Authors
2
2
Name
Order
Citations
PageRank
ByungRae Cha15114.59
Jongwon Kim21042153.38