Extension of Research on Security as a Service for VMs in IaaS Platform

To satisfy security concerns including infrastructure as a service (IaaS) security framework, security service access, network anomaly detection, and virtual machine (VM) monitoring, a layered security framework is built which composes of a physical layer, a virtualization layer, and a security mana...

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Main Authors: Xueyuan Yin, Xingshu Chen, Lin Chen, Hui Li
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Security and Communication Networks
Online Access:http://dx.doi.org/10.1155/2020/8538519
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spelling doaj-822ad04f409440cca1c3d8cb3e623f262020-11-25T03:46:42ZengHindawi-WileySecurity and Communication Networks1939-01141939-01222020-01-01202010.1155/2020/85385198538519Extension of Research on Security as a Service for VMs in IaaS PlatformXueyuan Yin0Xingshu Chen1Lin Chen2Hui Li3College of Computer Science, Sichuan University, Chengdu 610065, ChinaCybersecurity Research Institute, Sichuan University, Chengdu 610065, ChinaCollege of Computer Science, Sichuan University, Chengdu 610065, ChinaCollege of Computer Science, Sichuan University, Chengdu 610065, ChinaTo satisfy security concerns including infrastructure as a service (IaaS) security framework, security service access, network anomaly detection, and virtual machine (VM) monitoring, a layered security framework is built which composes of a physical layer, a virtualization layer, and a security management layer. Then, two security service access methods are realized for various security tools from the perspective of whether security tools generate communication traffic. One without generating traffic employs the VM traffic redirection technology and the other leveraged the mechanism of multitasking process access. Moreover, a stacked LSTM-based network anomaly detection agentless method is proposed, which has advantages of a higher ratio of precision and recall. Finally, a Hypervisor-based agentless monitoring method for VMs based on dynamic code injection is proposed, which has benefits of high security of the external monitoring method and good context analysis of the internal monitoring mechanism. The experimental results demonstrate the effectiveness of the proposed protection framework and the corresponding security mechanisms, respectively.http://dx.doi.org/10.1155/2020/8538519
collection DOAJ
language English
format Article
sources DOAJ
author Xueyuan Yin
Xingshu Chen
Lin Chen
Hui Li
spellingShingle Xueyuan Yin
Xingshu Chen
Lin Chen
Hui Li
Extension of Research on Security as a Service for VMs in IaaS Platform
Security and Communication Networks
author_facet Xueyuan Yin
Xingshu Chen
Lin Chen
Hui Li
author_sort Xueyuan Yin
title Extension of Research on Security as a Service for VMs in IaaS Platform
title_short Extension of Research on Security as a Service for VMs in IaaS Platform
title_full Extension of Research on Security as a Service for VMs in IaaS Platform
title_fullStr Extension of Research on Security as a Service for VMs in IaaS Platform
title_full_unstemmed Extension of Research on Security as a Service for VMs in IaaS Platform
title_sort extension of research on security as a service for vms in iaas platform
publisher Hindawi-Wiley
series Security and Communication Networks
issn 1939-0114
1939-0122
publishDate 2020-01-01
description To satisfy security concerns including infrastructure as a service (IaaS) security framework, security service access, network anomaly detection, and virtual machine (VM) monitoring, a layered security framework is built which composes of a physical layer, a virtualization layer, and a security management layer. Then, two security service access methods are realized for various security tools from the perspective of whether security tools generate communication traffic. One without generating traffic employs the VM traffic redirection technology and the other leveraged the mechanism of multitasking process access. Moreover, a stacked LSTM-based network anomaly detection agentless method is proposed, which has advantages of a higher ratio of precision and recall. Finally, a Hypervisor-based agentless monitoring method for VMs based on dynamic code injection is proposed, which has benefits of high security of the external monitoring method and good context analysis of the internal monitoring mechanism. The experimental results demonstrate the effectiveness of the proposed protection framework and the corresponding security mechanisms, respectively.
url http://dx.doi.org/10.1155/2020/8538519
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