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    题名: Securing KVM-based cloud systems via virtualization introspection
    作者: Lee, Sheng Wei;Yu, Fang
    郁方
    贡献者: 資管系
    关键词: Artificial intelligence;Ecosystems;Linux;Program processors;Systems science;Artificial intelligence techniques;Cloud structure;Computing ecosystems;Decision rules;Malicious attack;Software defects;Virtual machines;Virtualizations;Virtual reality
    日期: 2014-02
    上传时间: 2015-06-16 15:55:03 (UTC+8)
    摘要: Linux Kernel Virtual Machine (KVM) is one of the most commonly deployed hypervisor drivers in the IaaS layer of cloud computing ecosystems. The hypervisor provides a full-virtualization environment that intends to virtualize as much hardware and systems as possible, including CPUs, network interfaces and chipsets. With KVM, heterogeneous operating systems can be installed in Virtual Machines (VMs) in an homogeneous environment. However, it has been shown that various breaches due to software defects may cause damages on such a cloud ecosystem. We propose a new Virtualization Introspection System (VIS) to protect the host as well as VMs running on a KVM-based cloud structure from malicious attacks. VIS detects and intercepts attacks from VMs by collecting their static and dynamic status. We then replay the attacks on VMs and leverage artificial intelligence techniques to derive effective decision rules with unsupervised learning nature. The preliminary result shows the promise of the presented approach against several modern attacks on CVE-based vulnerabilities. © 2014 IEEE.
    關聯: Proceedings of the Annual Hawaii International Conference on System Sciences, 2014, 論文編號 6759220, Pages 5028-5037, 47th Hawaii International Conference on System Sciences, HICSS 2014; Waikoloa, HI; United States; 6 January 2014 到 9 January 2014; 類別編號E2504; 代碼 105660
    数据类型: conference
    DOI 連結: http://dx.doi.org/10.1109/HICSS.2014.617
    DOI: 10.1109/HICSS.2014.617
    显示于类别:[資訊管理學系] 會議論文

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