Study of Multistage Anomaly Detection for Secured Cloud Computing Resources in Future Internet

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 attack...

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Bibliographic Details
Main Authors: Byungrae Cha, Jongwon Kim
Format: Conference Proceeding
Language:English
Subjects:
Cloud computing
Computer crime
Dark IP
Data analysis
DDoS Attack
IP networks
Monitoring
Multistage Anomaly Detection
P2P DDoS
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Summary: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.
DOI:10.1109/DASC.2011.171