Identification of Return-Oriented Programming Attacks Using RISC-V Instruction Trace Data

Identification of Return-Oriented Programming Attacks Using RISC-V Instruction Trace Data

An increasing number of embedded systems include dedicated neural hardware. To benefit from this specialized hardware, deep learning techniques to discover malware on embedded systems are needed. This effort evaluated candidate machine learning detection techniques for distinguishing exploited from...

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Bibliographic Details
Main Authors: Daniel F. Koranek, Scott R. Graham, Brett J. Borghetti, Wayne C. Henry
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Computational and artificial intelligence
recurrent neural networks
computer viruses
embedded software
computer architecture
RISC-V
Online Access:https://ieeexplore.ieee.org/document/9762913/

Internet

https://ieeexplore.ieee.org/document/9762913/

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