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A Less Resource-Consumed Security Architecture on Cloud Platform
  • ISSN号:1671-8836
  • 期刊名称:《武汉大学学报:理学版》
  • 时间:0
  • 分类:TP393.081[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]School of Computer, Wuhan University, Wuhan 430072,Hubei, China, [2]Key Laboratory of Aerospace Information and TrustedComputing, Wuhan University, Wuhan 430072, Hubei, China, [3]The State Key Laboratory of Software Engineering, School of Computer, Wuhan University, Wuhan 430072, Hubei, China
  • 相关基金:Supported by the National Natural Science Foundation of China(61170026)
中文摘要:

Traditional security framework in cloud platform usually brings self-vulnerability and considerable additional resource consumption. To solve these problems, we propose an external processes monitoring architecture for current popular cloud platform Open Stack with kernel-based virtual machine(KVM). With this architecture, we can monitor all active processes in online virtual machine(VMs) and scan them for their potential maliciousness in OpenS tack with no agent, and can also detect hidden processes in offline VMs’ memory snapshots and notice the user to decide whether to kill them when VMs become active. Analysis and experimental results show that our architecture is able to reduce consumption of CPU, memory and bandwidth in cloud platform and can detect viruses and hidden processes effectively in VMs.

英文摘要:

Traditional security framework in cloud platform usually brings self-vulnerability and considerable additional resource consumption. To solve these problems, we propose an external processes monitoring architecture for current popular cloud platform Open Stack with kernel-based virtual machine(KVM). With this architecture, we can monitor all active processes in online virtual machine(VMs) and scan them for their potential maliciousness in OpenS tack with no agent, and can also detect hidden processes in offline VMs’ memory snapshots and notice the user to decide whether to kill them when VMs become active. Analysis and experimental results show that our architecture is able to reduce consumption of CPU, memory and bandwidth in cloud platform and can detect viruses and hidden processes effectively in VMs.

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期刊信息
  • 《武汉大学学报:理学版》
  • 中国科技核心期刊
  • 主管单位:中华人民共和国2教育部
  • 主办单位:武汉大学
  • 主编:刘经南
  • 地址:湖北武昌珞珈山
  • 邮编:430072
  • 邮箱:whdz@whu.edu.cn
  • 电话:027-68756952
  • 国际标准刊号:ISSN:1671-8836
  • 国内统一刊号:ISSN:42-1674/N
  • 邮发代号:38-8
  • 获奖情况:
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),美国数学评论(网络版),德国数学文摘,荷兰文摘与引文数据库,美国剑桥科学文摘,英国科学文摘数据库,英国动物学记录,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:6988