Performance Analysis of Virtual Machine Introspection Tools in Cloud Environment

被引:1
|
作者
Ainapure, Bharati [1 ]
Shah, Deven [2 ]
Rao, A. Ananda [3 ]
机构
[1] MIT Coll Engn, Dept Comp Engn, Pune, Maharashtra, India
[2] Thakur Coll Engg, Dept Informat Technol, Mumbai, Maharashtra, India
[3] JNTUA, Dept Comp Sci & Engg, Anantapur, Andhra Pradesh, India
关键词
Virtual Machine; Virtual machine Introspection; tools; Virtualization; Intel VT;
D O I
10.1145/2980258.2980309
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Virtual Machine (VM) security is one of the biggest issues with a cloud environment. This issue could be solved with the help of Virtual Machine Introspection (VMI) tools. VMI tools monitor the state of Virtual machine running in the cloud environment. VMI tools extract state of a virtual machine without the consent of the guest system. These VMI tools are built with the help of hardware virtualization functionality provided by Intel and AMD processors. These VMI tools facilitate the cloud providers to secure their virtual machines against attacks by observing the state of the VM. In this paper, we mainly discuss and analyze the five different VMI tools, their architecture, their key problems and performance analysis of these tools when adopted in the cloud environment.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] CryptVMI: Encrypted Virtual Machine Introspection in the Cloud
    Yao, Fangzhou
    Campbell, Roy H.
    2014 IEEE 7TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), 2014, : 977 - 978
  • [2] CloudVMI: Virtual Machine Introspection as a Cloud Service
    Baek, Hyun-wook
    Srivastava, Abhinav
    Van der Merwe, Jacobus
    2014 IEEE INTERNATIONAL CONFERENCE ON CLOUD ENGINEERING (IC2E), 2014, : 153 - 158
  • [3] Virtual Machine Introspection based Spurious Process Detection in Virtualized Cloud Computing Environment
    Kumara, Ajay M. A.
    Jaidhar, C. D.
    2015 1ST INTERNATIONAL CONFERENCE ON FUTURISTIC TRENDS ON COMPUTATIONAL ANALYSIS AND KNOWLEDGE MANAGEMENT (ABLAZE), 2015, : 261 - 267
  • [4] Virtual Machine Introspection based Cloud Monitoring Platform
    Lauren, Samuel
    Leppanen, Ville
    COMPUTER SYSTEMS AND TECHNOLOGIES (COMPSYSTECH'18), 2018, 1641 : 104 - 109
  • [5] CloudVMI: A Cloud-Oriented Writable Virtual Machine Introspection
    Qiang, Weizhong
    Xu, Gongping
    Dai, Weiqi
    Zou, Deqing
    Jin, Hai
    IEEE ACCESS, 2017, 5 : 21962 - 21976
  • [6] Towards virtual machine introspection based security framework for cloud
    Borisaniya, Bhavesh
    Patel, Dhiren
    SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2019, 44 (02):
  • [7] Towards virtual machine introspection based security framework for cloud
    Bhavesh Borisaniya
    Dhiren Patel
    Sādhanā, 2019, 44
  • [8] CryptVMI: A Flexible and Encrypted Virtual Machine Introspection System in the Cloud
    Yao, Fangzhou
    Sprabery, Read
    Campbell, Roy H.
    SCC'14: PROCEEDINGS OF THE 2ND INTERNATIONAL WORKSHOP ON SECURITY IN CLOUD COMPUTING, 2014, : 11 - 17
  • [9] T-VMI: Trusted Virtual Machine Introspection in Cloud Environments
    Jia, Lina
    Zhu, Min
    Tu, Bibo
    2017 17TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID), 2017, : 478 - 487
  • [10] Towards Hypervisor Support for Enhancing the Performance of Virtual Machine Introspection
    Taubmann, Benjamin
    Reiser, Hans P.
    DISTRIBUTED APPLICATIONS AND INTEROPERABLE SYSTEMS, DAIS 2020, 2020, 12135 : 41 - 54