A Hidden Markov Model-Based Method for Virtual Machine Anomaly Detection

被引：0

作者：

Shi, Chaochen ^{[1
]}

Yu, Jiangshan ^{[2
]}

机构：

[1] China Mobile IoT Ltd, Chongqing, Peoples R China

[2] Monash Univ, Melbourne, Vic, Australia

来源：

PROVABLE SECURITY, PROVSEC 2019 | 2019年 / 11821卷

关键词：

Hidden Markov Model; Virtual machine; Anomaly detection; Cloud computing;

D O I：

10.1007/978-3-030-31919-9_24

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The normal operation of virtual machine is a necessity for supporting cloud service. Motivated by the great desire of automated abmornal operation detection, this paper proposes a Hidden Markov Model-based method to conduct anomaly detection of virtual machine. This model can depict normal outline base of virtual machine operation and detect system outliers through calculating non-match rate. Through verifying the method in a real distributed environment, experiment results indicate that this method has 1.1%-4.9% better detection accuracy compared with two leading benchmarks with a much better efficiency.

引用

页码：372 / 380

页数：9

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