Memristor‐Based Security Primitives Robust to Malicious Attacks for Highly Secure Neuromorphic Systems

Memristor‐Based Security Primitives Robust to Malicious Attacks for Highly Secure Neuromorphic Systems

Internet‐of‐things (IoT) edge devices with a memristive neuromorphic system can more effectively enhance daily lives. However, cyberattacks remain critical concerns for smart IoT edge devices that process a vast body of information via networks. Herein, a highly secure neuromorphic system is reporte...

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Bibliographic Details
Main Authors: Jungyeop Oh, Sungkyu Kim, Junhwan Choi, Jun-Hwe Cha, Sung Gap Im, Byung Chul Jang, Sung-Yool Choi
Format: Article
Language:English
Published: Wiley 2022-11-01
Series:Advanced Intelligent Systems
Subjects:
cryptography
machine learning attacks
memristors
neuromorphic systems
physical unclonable functions
Online Access:https://doi.org/10.1002/aisy.202200177

Internet

https://doi.org/10.1002/aisy.202200177

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