Energy-Efficient Advanced Data Encryption System Using Spin-Based Computing-in-Memory Architecture

Arshid Nisar; Seema Dhull; Sonal Shreya; Brajesh Kumar Kaushik

doi:10.1109/TED.2022.3150623

Energy-Efficient Advanced Data Encryption System Using Spin-Based Computing-in-Memory Architecture

Arshid Nisar, Seema Dhull, Sonal Shreya, Brajesh Kumar Kaushik^*

^*Corresponding author for this work

Department of Electrical and Computer Engineering - Electronics and Photonics

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

1 Citation (Scopus)

Abstract

Spintronic-based computing-in-memory (CiM) architecture has emerged as one of the efficient solutions to eliminate the latency/bandwidth bottleneck of conventional von-Neumann architecture. Voltage-controlled spin-orbit torque (SOT) memory offers ultralow power and high-speed operation among the various spintronic memories. In this article, advanced encryption standard (AES) system within CiM architecture using voltage-controlled SOT device has been presented. The entire encryption process is performed within the high-density spintronic-based memory array to achieve low power and high processing speed. The reconfigurable logic operations and random key generation for AES are achieved by using a single voltage-controlled SOT device within the memory array. The results show that the proposed architecture is 96%, 52.1%, and 14% more efficient in terms of energy consumption, throughput, and area, respectively, when compared with one of the most efficient SOT-based AES systems.

Original language	English
Journal	IEEE Transactions on Electron Devices
Volume	69
Issue	4
Pages (from-to)	1736-1742
Number of pages	7
ISSN	0018-9383
DOIs	https://doi.org/10.1109/TED.2022.3150623
Publication status	Published - Apr 2022

Keywords

Advanced encryption standard (AES)
computing-in-memory (CiM)
spintronics
voltage-controlled SOT

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10.1109/TED.2022.3150623

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title = "Energy-Efficient Advanced Data Encryption System Using Spin-Based Computing-in-Memory Architecture",

abstract = "Spintronic-based computing-in-memory (CiM) architecture has emerged as one of the efficient solutions to eliminate the latency/bandwidth bottleneck of conventional von-Neumann architecture. Voltage-controlled spin-orbit torque (SOT) memory offers ultralow power and high-speed operation among the various spintronic memories. In this article, advanced encryption standard (AES) system within CiM architecture using voltage-controlled SOT device has been presented. The entire encryption process is performed within the high-density spintronic-based memory array to achieve low power and high processing speed. The reconfigurable logic operations and random key generation for AES are achieved by using a single voltage-controlled SOT device within the memory array. The results show that the proposed architecture is 96%, 52.1%, and 14% more efficient in terms of energy consumption, throughput, and area, respectively, when compared with one of the most efficient SOT-based AES systems. ",

keywords = "Advanced encryption standard (AES), computing-in-memory (CiM), spintronics, voltage-controlled SOT",

author = "Arshid Nisar and Seema Dhull and Sonal Shreya and Kaushik, {Brajesh Kumar}",

note = "Publisher Copyright: {\textcopyright} 1963-2012 IEEE.",

year = "2022",

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doi = "10.1109/TED.2022.3150623",

language = "English",

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Energy-Efficient Advanced Data Encryption System Using Spin-Based Computing-in-Memory Architecture. / Nisar, Arshid; Dhull, Seema; Shreya, Sonal et al.
In: IEEE Transactions on Electron Devices, Vol. 69, No. 4, 04.2022, p. 1736-1742.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

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AU - Nisar, Arshid

AU - Dhull, Seema

AU - Shreya, Sonal

AU - Kaushik, Brajesh Kumar

PY - 2022/4

Y1 - 2022/4

N2 - Spintronic-based computing-in-memory (CiM) architecture has emerged as one of the efficient solutions to eliminate the latency/bandwidth bottleneck of conventional von-Neumann architecture. Voltage-controlled spin-orbit torque (SOT) memory offers ultralow power and high-speed operation among the various spintronic memories. In this article, advanced encryption standard (AES) system within CiM architecture using voltage-controlled SOT device has been presented. The entire encryption process is performed within the high-density spintronic-based memory array to achieve low power and high processing speed. The reconfigurable logic operations and random key generation for AES are achieved by using a single voltage-controlled SOT device within the memory array. The results show that the proposed architecture is 96%, 52.1%, and 14% more efficient in terms of energy consumption, throughput, and area, respectively, when compared with one of the most efficient SOT-based AES systems.

AB - Spintronic-based computing-in-memory (CiM) architecture has emerged as one of the efficient solutions to eliminate the latency/bandwidth bottleneck of conventional von-Neumann architecture. Voltage-controlled spin-orbit torque (SOT) memory offers ultralow power and high-speed operation among the various spintronic memories. In this article, advanced encryption standard (AES) system within CiM architecture using voltage-controlled SOT device has been presented. The entire encryption process is performed within the high-density spintronic-based memory array to achieve low power and high processing speed. The reconfigurable logic operations and random key generation for AES are achieved by using a single voltage-controlled SOT device within the memory array. The results show that the proposed architecture is 96%, 52.1%, and 14% more efficient in terms of energy consumption, throughput, and area, respectively, when compared with one of the most efficient SOT-based AES systems.

KW - Advanced encryption standard (AES)

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Energy-Efficient Advanced Data Encryption System Using Spin-Based Computing-in-Memory Architecture

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