Low Power And Secure Edge Computing Using Adiabatic Logic For IoT Based Error Tolerant Application

The rapid growth of IoT demands low-power, secure edge computing solutions. This paper explores adiabatic logic for energy-efficient and secure IoT edge devices. Adiabatic logic, leveraging reversible computing, minimizes power dissipation, making it ideal for resource-constrained environments. The proposed framework enhances critical operations like encryption, error detection, and signal processing while improving resistance to side-channel attacks. Additionally, error tolerance mechanisms address sensor inaccuracies, ensuring reliable performance in dynamic conditions. By integrating adiabatic designs, this approach optimizes power efficiency and security, making it well-suited for IoT-based edge computing applications.

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Published
2025-06-05
DOI
https://doi.org/10.1109/eaic66483.2025.11101485
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Low Power And Secure Edge Computing Using Adiabatic Logic For IoT Based Error Tolerant Application

Ashwani K. Rana, Sakshi Sharma
Advanced Memory and Neural Computing
article

Low Power And Secure Edge Computing Using Adiabatic Logic For IoT Based Error Tolerant Application

Ashwani K. Rana, Sakshi Sharma
article en

Abstract

The rapid growth of IoT demands low-power, secure edge computing solutions. This paper explores adiabatic logic for energy-efficient and secure IoT edge devices. Adiabatic logic, leveraging reversible computing, minimizes power dissipation, making it ideal for resource-constrained environments. The proposed framework enhances critical operations like encryption, error detection, and signal processing while improving resistance to side-channel attacks. Additionally, error tolerance mechanisms address sensor inaccuracies, ensuring reliable performance in dynamic conditions. By integrating adiabatic designs, this approach optimizes power efficiency and security, making it well-suited for IoT-based edge computing applications.

National Institute of Technology Delhi (IN)
Affordable and clean energy
Openalex Percentile: Top 81%
Advanced Memory and Neural Computing
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