Low Power and Security Trade offs in ASIC Verification: A Practical Approach

The increasing demand for energy-efficient and secure hardware in modern computing platforms has spotlighted a critical challenge in ASIC design: balancing low power consumption with robust security verification.This review systematically explores recent research at this intersection, summarizing over a decade of innovation in power-aware security analysis, co-verification frameworks, and practical implementations.We present a conceptual block diagram, a proposed theoretical model, and experimental evidence quantifying trade-offs using side-channel vulnerability metrics, verification coverage, and post-silicon behavior.Future directions including AI-based optimizers, lifecycle-aware security, and post-quantum logic are discussed.The goal is to equip ASIC designers and verification engineers with actionable insights and frameworks to optimize both power and trust in next-generation chips.

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Publication Details

Journal
International Journal for Research Trends and Innovation
Published
2025-01-01
DOI
https://doi.org/10.56975/ijrti.v10i7.205536
Primary Topic
Integrated Circuits and Semiconductor Failure Analysis
Type
article
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article

Low Power and Security Trade offs in ASIC Verification: A Practical Approach

Arya Mohan
International Journal for Research Trends and Innovation
Integrated Circuits and Semiconductor Failure Analysis
article

Low Power and Security Trade offs in ASIC Verification: A Practical Approach

Arya Mohan
article en

Abstract

The increasing demand for energy-efficient and secure hardware in modern computing platforms has spotlighted a critical challenge in ASIC design: balancing low power consumption with robust security verification.This review systematically explores recent research at this intersection, summarizing over a decade of innovation in power-aware security analysis, co-verification frameworks, and practical implementations.We present a conceptual block diagram, a proposed theoretical model, and experimental evidence quantifying trade-offs using side-channel vulnerability metrics, verification coverage, and post-silicon behavior.Future directions including AI-based optimizers, lifecycle-aware security, and post-quantum logic are discussed.The goal is to equip ASIC designers and verification engineers with actionable insights and frameworks to optimize both power and trust in next-generation chips.

International Journal for Research Trends and InnovationVol. 10(7)
Reduced inequalities
Openalex Percentile: Top 82%
Integrated Circuits and Semiconductor Failure Analysis
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