A less resource-consumed security architecture on cloud platform
Jingsong Cui, Kun Liao, Changyou Tian, Rong Peng, Xun Wu · Wuhan University Journal of Natural Sciences · 2016
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 OpenStack 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 OpenStack 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.