Power-Based Side-Channel Attacks on Program Control Flow with Machine Learning Models

Power-Based Side-Channel Attacks on Program Control Flow with Machine Learning Models

The control flow of a program represents valuable and sensitive information; in embedded systems, this information can take on even greater value as the resources, control flow, and execution of the system have more constraints and functional implications than modern desktop environments. Early work...

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Bibliographic Details
Main Authors: Andey Robins, Stone Olguin, Jarek Brown, Clay Carper, Mike Borowczak
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Journal of Cybersecurity and Privacy
Subjects:
side-channel attack
machine learning
power analysis
cybersecurity
control flow
dynamic program analysis
Online Access:https://www.mdpi.com/2624-800X/3/3/18

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