Power Attack-Immune Spintronic-Based AES Hardware Accelerator for Secure and High-Performance PiM Architectures

Concerns about data security have grown due to the increasing leakage power attributed to the scaling of CMOS technology. This necessitates the integration of spintronic devices, such as magnetic tunnel junctions (MTJs), with CMOS to mitigate leakage power and maintain data integrity. This article proposes a novel hybrid MTJ/CMOS architecture that implements the advanced encryption standard (AES) algorithm within a process-in-memory (PiM) framework to enhance data security. The key innovation is the architecture’s resilience to side-channel attacks, including differential power analysis (DPA) and correlation power analysis (CPA). Comprehensive post-layout simulations using the well-established 40-nm CMOS technology demonstrate that the power consumption patterns of each AES component remain constant, even under process variations. Furthermore, system-level simulations highlight that the proposed AES-128 architecture effectively resists information leakage and power attacks, even when exposed to numerous power traces used for key extraction. Comparative results indicate that our proposed power attack-resilient AES-128 hardware design outperforms existing application-specific integrated circuit (ASIC) and field-programmable gate array (FPGA) implementations, enhancing static power by 98% and boosting maximum frequency by 72% and 91%, respectively. The architecture’s adaptability for implementing other AES versions (AES-192 and AES-256) and substitution-based encryption algorithms further expands its versatility.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Magnetics
Published
2025-02-21
DOI
https://doi.org/10.1109/tmag.2025.3544409
Citations
5
Primary Topic
Quantum-Dot Cellular Automata
Type
article
Field-Weighted Citation Impact
7.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Power Attack-Immune Spintronic-Based AES Hardware Accelerator for Secure and High-Performance PiM Architectures

Mohammad Hossein Moaiyeri, Abdolah Amirany, Pegah Iranfar
5 citations
IEEE Transactions on Magnetics
Quantum-Dot Cellular Automata
7.52
article

Power Attack-Immune Spintronic-Based AES Hardware Accelerator for Secure and High-Performance PiM Architectures

Mohammad Hossein Moaiyeri, Abdolah Amirany, Pegah Iranfar
article en
5 citations

Abstract

Concerns about data security have grown due to the increasing leakage power attributed to the scaling of CMOS technology. This necessitates the integration of spintronic devices, such as magnetic tunnel junctions (MTJs), with CMOS to mitigate leakage power and maintain data integrity. This article proposes a novel hybrid MTJ/CMOS architecture that implements the advanced encryption standard (AES) algorithm within a process-in-memory (PiM) framework to enhance data security. The key innovation is the architecture’s resilience to side-channel attacks, including differential power analysis (DPA) and correlation power analysis (CPA). Comprehensive post-layout simulations using the well-established 40-nm CMOS technology demonstrate that the power consumption patterns of each AES component remain constant, even under process variations. Furthermore, system-level simulations highlight that the proposed AES-128 architecture effectively resists information leakage and power attacks, even when exposed to numerous power traces used for key extraction. Comparative results indicate that our proposed power attack-resilient AES-128 hardware design outperforms existing application-specific integrated circuit (ASIC) and field-programmable gate array (FPGA) implementations, enhancing static power by 98% and boosting maximum frequency by 72% and 91%, respectively. The architecture’s adaptability for implementing other AES versions (AES-192 and AES-256) and substitution-based encryption algorithms further expands its versatility.

IEEE Transactions on MagneticsVol. 61(4)
George Washington University (US), Shahid Beheshti University (IR)
Affordable and clean energy
Openalex Percentile: Top 3%
Quantum-Dot Cellular Automata
7.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Power Attack-Immune Spintronic-Based AES Hardware Accelerator for Secure and High-Performance PiM Architectures — Mohammad Hossein Moaiyeri, Abdolah Amirany, et al. · IEEE Transactions on Magnetics (2025) | TGRS Research Map | TGRS