Data Oblivious CPU: Microarchitectural Side-channel Leakage-Resilient Processor

Mitigating microarchitectural side channels remains a central challenge in hardware security. Despite substantial research efforts, current defenses are often narrowly tailored to specific vulnerabilities, leaving systems exposed to a broader spectrum of microarchitectural side-channel attacks. In this paper, we propose a generic approach to mitigate side-channel attacks with minimal architectural changes. Unlike traditional approaches that focus on mitigating specific side channels, we propose a dynamic strategy that alters the decoding of the instructions into secure (side-channel resilient) or performance versions of the instructions, based on the data it is processing. Specifically, to minimize performance overhead, decoding to a secure version is selectively applied only when sensitive data are being processed, ensuring optimal performance for instructions operating on non-sensitive data.To evaluate our approach, we implement it on the RISC-V out-of-order BOOM processor. Our results demonstrate that the mechanism increases the utilization of FPGA resources by only 2% compared to the original design. Furthermore, it imposes 0% performance overhead for unprotected applications, while maintaining overhead between up to 25% for security-critical workloads. This work represents a scalable and efficient solution for defending against micro-architectural side-channel attacks without compromising system performance.

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Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1109/dac63849.2025.11133149
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Data Oblivious CPU: Microarchitectural Side-channel Leakage-Resilient Processor

Ihsen Alouani, Behnam Omidi, Khaled N. Khasawneh
Advanced Memory and Neural Computing
article

Data Oblivious CPU: Microarchitectural Side-channel Leakage-Resilient Processor

Ihsen Alouani, Behnam Omidi, Khaled N. Khasawneh
article en

Abstract

Mitigating microarchitectural side channels remains a central challenge in hardware security. Despite substantial research efforts, current defenses are often narrowly tailored to specific vulnerabilities, leaving systems exposed to a broader spectrum of microarchitectural side-channel attacks. In this paper, we propose a generic approach to mitigate side-channel attacks with minimal architectural changes. Unlike traditional approaches that focus on mitigating specific side channels, we propose a dynamic strategy that alters the decoding of the instructions into secure (side-channel resilient) or performance versions of the instructions, based on the data it is processing. Specifically, to minimize performance overhead, decoding to a secure version is selectively applied only when sensitive data are being processed, ensuring optimal performance for instructions operating on non-sensitive data.To evaluate our approach, we implement it on the RISC-V out-of-order BOOM processor. Our results demonstrate that the mechanism increases the utilization of FPGA resources by only 2% compared to the original design. Furthermore, it imposes 0% performance overhead for unprotected applications, while maintaining overhead between up to 25% for security-critical workloads. This work represents a scalable and efficient solution for defending against micro-architectural side-channel attacks without compromising system performance.

Queen's University Belfast (GB), George Mason University (US)
National Science Foundation
Openalex Percentile: Top 76%
Advanced Memory and Neural Computing
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