Aggressive Design Reuse for Ubiquitous Zero-Trust Edge Security—From Physical Design to Machine-Learning-Based Hardware Patching

Aggressive Design Reuse for Ubiquitous Zero-Trust Edge Security—From Physical Design to Machine-Learning-Based Hardware Patching

This work presents an overview of challenges and solid pathways toward ubiquitous and sustainable hardware security in next-generation silicon chips at the edge of distributed and connected systems (e.g., IoT and AIoT). As the first challenge, the increasingly connected nature and the exponential pr...

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Bibliographic Details
Main Author: Massimo Alioto
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Open Journal of the Solid-State Circuits Society
Subjects:
Hardware patching
hardware security
in-memory security
laser attacks
machine learning
physically unclonable functions (PUFs)
Online Access:https://ieeexplore.ieee.org/document/9955388/

Internet

https://ieeexplore.ieee.org/document/9955388/

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