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
收藏
页码：372 / 380
页数：9
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