The Road to Trust: Building Enclaves within Confidential VMs
Integrity is critical for maintaining system security, as it ensures that only genuine software is loaded onto a machine. Although confidential virtual machines (CVMs) function within isolated environments separate from the host, it is important to recognize that users still encounter challenges in...
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Zusammenfassung: | Integrity is critical for maintaining system security, as it ensures that
only genuine software is loaded onto a machine. Although confidential virtual
machines (CVMs) function within isolated environments separate from the host,
it is important to recognize that users still encounter challenges in
maintaining control over the integrity of the code running within the trusted
execution environments (TEEs). The presence of a sophisticated operating system
(OS) raises the possibility of dynamically creating and executing any code,
making user applications within TEEs vulnerable to interference or tampering if
the guest OS is compromised. To address this issue, this paper introduces
NestedSGX, a framework which leverages virtual machine privilege level (VMPL),
a recent hardware feature available on AMD SEV-SNP to enable the creation of
hardware enclaves within the guest VM. Similar to Intel SGX, NestedSGX
considers the guest OS untrusted for loading potentially malicious code. It
ensures that only trusted and measured code executed within the enclave can be
remotely attested. To seamlessly protect existing applications, NestedSGX aims
for compatibility with Intel SGX by simulating SGX leaf functions. We have also
ported the SGX SDK and the Occlum library OS to NestedSGX, enabling the use of
existing SGX toolchains and applications in the system. Performance evaluations
show that context switches in NestedSGX take about 32,000 -- 34,000 cycles,
approximately $1.9\times$ -- $2.1\times$ higher than that of Intel SGX.
NestedSGX incurs minimal overhead in most real-world applications, with an
average overhead below 2% for computation and memory intensive workloads and
below 15.68% for I/O intensive workloads. |
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DOI: | 10.48550/arxiv.2402.11438 |