CN109471698A - 云环境下虚拟机异常行为检测系统和方法 - Google Patents
云环境下虚拟机异常行为检测系统和方法 Download PDFInfo
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
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- G06F9/45558—Hypervisor-specific management and integration aspects
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/301—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is a virtual computing platform, e.g. logically partitioned systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/302—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a software system
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3051—Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45591—Monitoring or debugging support
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45595—Network integration; Enabling network access in virtual machine instances
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/048—Activation functions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/088—Non-supervised learning, e.g. competitive learning
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
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CN111131304A (zh) * | 2019-12-31 | 2020-05-08 | 嘉兴学院 | 面向云平台大规模虚拟机细粒度异常行为检测方法和系统 |
CN112016701A (zh) * | 2020-09-09 | 2020-12-01 | 四川大学 | 一种融合时序和属性行为的异常变化检测方法及系统 |
CN112988327A (zh) * | 2021-03-04 | 2021-06-18 | 杭州谐云科技有限公司 | 一种基于云边协同的容器安全管理方法和系统 |
CN113191432A (zh) * | 2021-05-06 | 2021-07-30 | 中国联合网络通信集团有限公司 | 基于离群因子的虚拟机集群的异常检测方法、设备及介质 |
CN115225536A (zh) * | 2022-06-17 | 2022-10-21 | 上海仪电(集团)有限公司中央研究院 | 一种基于无监督学习的虚拟机异常检测方法及系统 |
CN116809652A (zh) * | 2023-03-28 | 2023-09-29 | 材谷金带(佛山)金属复合材料有限公司 | 一种热轧机控制系统的异常分析方法及系统 |
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CN106293874A (zh) * | 2016-07-29 | 2017-01-04 | 浪潮(北京)电子信息产业有限公司 | 一种对高可用集群进行监控的方法及装置 |
CN107888437A (zh) * | 2016-09-29 | 2018-04-06 | 阿里巴巴集团控股有限公司 | 云监控方法及设备 |
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许福,: "虚拟计算环境下节点异常检测方法研究", 《中国优秀硕士学位论文全文数据库信息科技辑(月刊)》 * |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111131304A (zh) * | 2019-12-31 | 2020-05-08 | 嘉兴学院 | 面向云平台大规模虚拟机细粒度异常行为检测方法和系统 |
CN111131304B (zh) * | 2019-12-31 | 2022-01-11 | 嘉兴学院 | 面向云平台大规模虚拟机细粒度异常行为检测方法和系统 |
CN112016701A (zh) * | 2020-09-09 | 2020-12-01 | 四川大学 | 一种融合时序和属性行为的异常变化检测方法及系统 |
CN112016701B (zh) * | 2020-09-09 | 2023-09-15 | 四川大学 | 一种融合时序和属性行为的异常变化检测方法及系统 |
CN112988327A (zh) * | 2021-03-04 | 2021-06-18 | 杭州谐云科技有限公司 | 一种基于云边协同的容器安全管理方法和系统 |
CN113191432A (zh) * | 2021-05-06 | 2021-07-30 | 中国联合网络通信集团有限公司 | 基于离群因子的虚拟机集群的异常检测方法、设备及介质 |
CN113191432B (zh) * | 2021-05-06 | 2023-07-07 | 中国联合网络通信集团有限公司 | 基于离群因子的虚拟机集群的异常检测方法、设备及介质 |
CN115225536A (zh) * | 2022-06-17 | 2022-10-21 | 上海仪电(集团)有限公司中央研究院 | 一种基于无监督学习的虚拟机异常检测方法及系统 |
CN115225536B (zh) * | 2022-06-17 | 2024-02-27 | 上海仪电(集团)有限公司中央研究院 | 一种基于无监督学习的虚拟机异常检测方法及系统 |
CN116809652A (zh) * | 2023-03-28 | 2023-09-29 | 材谷金带(佛山)金属复合材料有限公司 | 一种热轧机控制系统的异常分析方法及系统 |
CN116809652B (zh) * | 2023-03-28 | 2024-04-26 | 材谷金带(佛山)金属复合材料有限公司 | 一种热轧机控制系统的异常分析方法及系统 |
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