ShuffleV: A Microarchitectural Defense Strategy against Electromagnetic Side-Channel Attacks in Microprocessors
By Nuntipat Narkthong ∗, Yukui Luo †, Xiaolin Xu ∗
∗ Northeastern University, Boston, USA
† Binghamton University, New York, USA

Abstract
The run-time electromagnetic (EM) emanation of microprocessors presents a side-channel that leaks the confidentiality of the applications running on them. Many recent works have demonstrated successful attacks leveraging such side-channels to extract the confidentiality of diverse applications, such as the key of cryptographic algorithms and the hyperparameter of neural network models. This paper proposes ShuffleV, a microarchitecture defense strategy against EM Side-Channel Attacks (SCAs). ShuffleV adopts the moving target defense (MTD) philosophy, by integrating hardware units to randomly shuffle the execution order of program instructions and optionally insert dummy instructions, to nullify the statistical observation by attackers across repetitive runs. We build ShuffleV on the open-source RISC-V core and provide six design options, to suit different application scenarios. To enable rapid evaluation, we develop a ShuffleV simulator that can help users to (1) simulate the performance overhead for each design option and (2) generate an execution trace to validate the randomness of execution on their workload. We implement ShuffleV on a Xilinx PYNQ-Z2 FPGA and validate its performance with two representative victim applications against EM SCAs, AES encryption, and neural network inference. The experimental results demonstrate that ShuffleV can provide automatic protection for these applications, without any user intervention or software modification.
To read the full article, click here
Related Semiconductor IP
- RISC-V Display Connectivity Subsystem (DCS)
- RISC-V IOPMP IP
- RISC-V Debug & Trace IP
- Gen#2 of 64-bit RISC-V core with out-of-order pipeline based complex
- 64-bit RISC-V core with in-order single issue pipeline. Tiny Linux-capable processor for IoT applications.
Related Articles
- DRsam: Detection of Fault-Based Microarchitectural Side-Channel Attacks in RISC-V Using Statistical Preprocessing and Association Rule Mining
- Defend encryption systems against side-channel attacks
- How secure is AES against brute force attacks?
- Physical Attacks against Cryptographic Implementations
Latest Articles
- Closer in the Gap: Towards Portable Performance on RISC-V Vector Processors
- TTP: A Hardware-Efficient Design for Precise Prefetching in Ray Tracing
- Heterogeneous SoC Integrating an Open-Source Recurrent SNN Accelerator for Neuromorphic Edge Computing on FPGA
- A Reconfigurable Multiplier Architecture for Error-Resilient Applications in RISC-V Core
- ObfAx: Obfuscation and IP Piracy Detection in Approximate Circuits