research-article

Resilient and Secure Hardware Devices Using ASL

Authors:

Qutaiba Alasad,

Jiann-Shuin Yuan,

Amro AwadAuthors Info & Claims

ACM Journal on Emerging Technologies in Computing Systems (JETC), Volume 17, Issue 2

Article No.: 11, Pages 1 - 26

https://doi.org/10.1145/3429982

Published: 06 January 2021 Publication History

Abstract

Due to the globalization of Integrated Circuit (IC) design in the semiconductor industry and the outsourcing of chip manufacturing, Third-Party Intellectual Properties (3PIPs) become vulnerable to IP piracy, reverse engineering, counterfeit IC, and hardware trojans. To thwart such attacks, ICs can be protected using logic encryption techniques. However, strong resilient techniques incur significant overheads. Side-channel attacks (SCAs) further complicate matters by introducing potential attacks post fabrication. One of the most severe SCAs is power analysis (PA) attacks, in which an attacker can observe the power variations of the device and analyze them to extract the secret key. PA attacks can be mitigated via adding large extra hardware; however, the overheads of such solutions can render them impractical, especially when there are power and area constraints.

All Spin Logic Device (ASLD) is one of the most promising spintronic devices due to its unique properties: small area, no spin-charge signal conversion, zero leakage current, non-volatile memory, high density, low operating voltage, and its compatibility with conventional CMOS technology. In this article, we extend the work in Reference [1] on the usage of ASLD to produce secure and resilient circuits that withstand IC attacks (during the fabrication) and PA attacks (after fabrication), including reverse engineering attacks. First, we show that ASLD has another unique feature: identical power dissipation through the switching operations, where such properties can be effectively used to prevent PA and IC attacks. We then evaluate the proposed ASLD-based on performance overheads and security guarantees.

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Index Terms

Resilient and Secure Hardware Devices Using ASL
1. Security and privacy
  1. Security in hardware
    1. Hardware attacks and countermeasures
      1. Side-channel analysis and countermeasures

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cover image ACM Journal on Emerging Technologies in Computing Systems

ACM Journal on Emerging Technologies in Computing Systems Volume 17, Issue 2

Hardware and Algorithms for Efficient Machine Learning

April 2021

360 pages

ISSN:1550-4832

EISSN:1550-4840

DOI:10.1145/3446841

Editor:
Ramesh Karri
Polytechnic Institute of New York University, USA

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Publication History

Published: 06 January 2021

Accepted: 01 October 2020

Revised: 01 September 2020

Received: 01 February 2020

Published in JETC Volume 17, Issue 2

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