An anomaly detection method for a virtual machine in a cloud system
An anomaly detection and virtual machine technology, applied in the network field, can solve the problems of not taking into account the dynamic changes of virtual machine activities, and few anomaly detection and processing methods, so as to ensure real-time and reliability, reduce impact, and improve accuracy. Effect
Active Publication Date: 2018-09-28
SHANGHAI MARITIME UNIVERSITY
View PDF4 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Detecting the existence of abnormal virtual machines poses a challenge to cloud security. At present, there are relatively few anomaly detection and processing methods for virtual machines in cloud systems, and the existing defense technologies do not take into account the dynamic changes in the activities of virtual machines in cloud systems. Therefore there are certain limitations
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0030] In order to make the technical means, creative features, goals and effects of the present invention easy to understand, the following will further explain a virtual machine anomaly detection method within a cloud system proposed by the present invention in combination with diagrams and specific embodiments.
[0031] figure 1 Shown is a flow chart of an anomaly detection method for a virtual machine inside a cloud system provided by the present invention; figure 2 Shown is a structural diagram of the cloud system in the present invention.
[0032] The cloud system described in the present invention includes application server clusters and various types of storage devices. The application server cluster is installed with cloud operating system, virtualization software, virtual machine status attribute information collection module, hidden semi-Markov model HsMM online detection module, anomaly detection and processing system, and virtual machines established for cloud t...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to an abnormal detection method of a virtual machine inside a cloud system, which trains a hidden semi-Markov model HsMM by collecting state information of a normal virtual machine in the cloud system, and designs a corresponding algorithm to detect and calculate each virtual machine in the cloud system Likelihood probability and Mahalanobis distance of resource dynamic change behavior when online. If the Mahalanobis distance of the online detection result of a certain virtual machine is greater than the preset threshold value, it indicates that the activity of the virtual machine is abnormal, and the abnormality detection and processing system inside the cloud system is started to detect and process the virtual machine abnormality. If it is detected that the abnormality rate of a virtual machine is less than the maximum threshold value for abnormal detection and processing, a warning will be sent to the virtual cloud tenant after the abnormality is eliminated; otherwise, an alarm will be sent to the cloud tenant of the virtual machine and the virtual machine will be shut down. The invention can detect the abnormal behavior of the virtual machine inside the cloud system in real time, occupies less system resources, and can fully guarantee the high availability and safety of the virtual machine inside the cloud system.
Description
technical field [0001] The invention relates to the field of network technology, in particular to an abnormality detection method for a virtual machine inside a cloud system. Background technique [0002] More and more companies and enterprises reduce their costs by migrating part of their information technology infrastructure to cloud service providers, such as data centers containing distributed storage infrastructure and other types of cloud computing systems are widely used. Cloud service providers use commercial virtualization software such as Vmware and vSphere to build various types of virtual infrastructure, including private cloud and public cloud systems. The data of these cloud systems may be distributed among hundreds of interconnected computers and storage devices and other physical machines. [0003] In a public cloud system or a private cloud system, an enterprise rents computing resources and storage resources from a cloud service provider, that is, a cloud ...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/455G06F11/30H04L29/08G06N20/00H04L69/40
CPCG06F9/45533G06F11/3055H04L67/10G06F2201/815G06N20/00G06F21/554H04L69/40G06F9/45558G06F11/0709G06F11/0712G06F11/076G06F11/0793G06F2009/45575G06F2009/45587G06F2009/45591H04L63/1425G06N7/01G06F9/455G06F11/0772G06F2009/45595G06N7/08H04L63/1416H04L63/145
Inventor 韩德志毕坤谢柏林王军黄利利陈付梅
Owner SHANGHAI MARITIME UNIVERSITY