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RegVault II: Achieving Hardware-Assisted Selective Kernel Data Randomization for Multiple Architectures

Year: 2025
Type: article
Abstract: Memory corruption vulnerabilities pose a significant threat to system security. The traditional paging-based approach cannot protect fine-grained runtime data (e.g., function pointers), which are often mixed with other data in memory. To protect the runtime data, data space randomization is proposed to encrypt the in-memory data so that the attacker cannot control the decrypted result. Unfortunately, current hardware does not provide dedicated support for fine-grained data encryption. This article presents RegVault II, a cross-architectural hardware-assisted lightweight data randomization scheme for OS kernels. To achieve robust, fine-grained, and lightweight data protection, we first identify five required capabilities for efficient and secure data randomization. Guided by these requirements, we design and implement novel hardware primitives that provide cryptographically strong encryption and decryption, thus ensuring both confidentiality and integrity for register-grained data. At the software level, we propose identification- and annotation-based approaches to automatically mark sensitive data and instrument the corresponding load and store operations. We also introduce new techniques to protect the interrupt context and safeguard the sensitive data spilling. We implement RegVault II on an actual FPGA hardware board for RISC-V and on QEMU for Arm, applying it to protect six types of sensitive data in the Linux kernel. Our thorough security and performance evaluations show that RegVault II effectively defends against a broad range of kernel data attacks while incurring minimal performance overhead.
DOI: 10.1145/3734521
Authors: Ruorong Guo, Yangye Zhou, Jinyan Xu, Wenbo Shen, Yajin Zhou, Rui Chang
Institution: Zhejiang University
Language: English
Open Access status: bronze
OpenAlex ID: W4410126006
FWCI:
Cites: 43
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Related to: 10