Efficient Integrity-Tree Structure for Convolutional Neural Networks through Frequent Counter Overflow Prevention in Secure Memories

Efficient Integrity-Tree Structure for Convolutional Neural Networks through Frequent Counter Overflow Prevention in Secure Memories

Advancements in convolutional neural network (CNN) have resulted in remarkable success in various computing fields. However, the need to protect data against external security attacks has become increasingly important because inference process in CNNs exploit sensitive data. Secure Memory is a hardw...

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Bibliographic Details
Main Authors: Jesung Kim, Wonyoung Lee, Jeongkyu Hong, Soontae Kim
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
hardware security
secure memory
integrity-tree
counter overflow
convolutional neural network
Online Access:https://www.mdpi.com/1424-8220/22/22/8762

Internet

https://www.mdpi.com/1424-8220/22/22/8762

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