SEER: practical memory virus scanning as a service

Jason Gionta, Ahmed M. Azab, W. Enck, P. Ning, Xiaolan Zhang
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引用次数: 12

Abstract

Virus Scanning-as-a-Service (VSaaS) has emerged as a popular security solution for virtual cloud environments. However, existing approaches fail to scan guest memory, which can contain an emerging class of Memory-only Malware. While several host-based memory scanners are available, they are computationally less practical for cloud environments. This paper proposes SEER as an architecture for enabling Memory VSaaS for virtualized environments. SEER leverages cloud resources and technologies to consolidate and aggregate virus scanning activities to efficiently detect malware residing in memory. Specifically, SEER combines fast memory snapshotting and computation deduplication to provide practical and efficient off-host memory virus scanning. We evaluate SEER and demonstrate up to an 87% reduction in data size that must be scanned and up to 72% savings in overall scan time, compared to naively applying file-based scanning approaches. Furthermore, SEER provides a 50% reduction in scan time when using a warm cache. In doing so, SEER provides a practical solution for cloud vendors to transparently and periodically scan virtual machine memory for malware.
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实用内存病毒扫描即服务
病毒扫描即服务(VSaaS)已成为虚拟云环境中流行的安全解决方案。然而,现有的方法无法扫描客户内存,这可能包含一类新兴的仅内存恶意软件。虽然有几种基于主机的内存扫描仪可用,但它们在计算上不太适合云环境。本文提出将SEER作为在虚拟化环境中启用内存VSaaS的体系结构。SEER利用云资源和技术来整合和聚合病毒扫描活动,以有效地检测驻留在内存中的恶意软件。具体而言,SEER结合了快速内存快照和重复数据删除计算,以提供实用和高效的非主机内存病毒扫描。我们对SEER进行了评估,并证明与单纯应用基于文件的扫描方法相比,SEER可将必须扫描的数据大小减少87%,总扫描时间节省72%。此外,当使用热缓存时,SEER提供了50%的扫描时间减少。在此过程中,SEER为云供应商提供了一个实用的解决方案,可以透明地定期扫描虚拟机内存中的恶意软件。
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