移动敏感数据对抗实时内存转储,幽灵和Meltdown攻击

Johannes Sianipar, M. Sukmana, C. Meinel
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引用次数: 7

摘要

云计算的出现允许用户轻松地托管他们的虚拟机,而无需预先投资,并保证随时随地可用。但是,如果虚拟机(VM)托管在用户的前提之外,则用户将失去对VM的物理控制,因为它可能运行在云中不受信任的主机上。恶意的主机管理员可以启动实时内存转储,Spectre或Meltdown攻击,以便从虚拟机的内存中提取敏感信息,例如虚拟机中运行的应用程序的密码或加密密钥。本文受移动目标防御(MTD)方案的启发,提出了一种新的方法,通过在随机存取存储器(RAM)的多个内存分配(块)中连续移动敏感数据来提高虚拟机中应用程序敏感数据的安全性。将移动函数添加到应用程序源代码中,以便该函数与应用程序的主函数并发运行。我们的方法可以将内存中VM的敏感数据泄露到内存转储文件的可能性降低2.5%,并保护敏感数据免受Spectre和Meltdown攻击。我们的方法开销取决于敏感数据的数量和大小。
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Moving Sensitive Data Against Live Memory Dumping, Spectre and Meltdown Attacks
The emergence of cloud computing allows users to easily host their Virtual Machines with no up-front investment and the guarantee of always available anytime anywhere. But with the Virtual Machine (VM) is hosted outside of user’s premise, the user loses the physical control of the VM as it could be running on untrusted host machines in the cloud. Malicious host administrator could launch live memory dumping, Spectre, or Meltdown attacks in order to extract sensitive information from the VM’s memory, e.g. passwords or cryptographic keys of applications running in the VM. In this paper, inspired by the moving target defense (MTD) scheme, we propose a novel approach to increase the security of application’s sensitive data in the VM by continuously moving the sensitive data among several memory allocations (blocks) in Random Access Memory (RAM). A movement function is added into the application source code in order for the function to be running concurrently with the application’s main function. Our approach could reduce the possibility of VM’s sensitive data in the memory to be leaked into memory dump file by 2 5% and secure the sensitive data from Spectre and Meltdown attacks. Our approach’s overhead depends on the number and the size of the sensitive data.
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