Robust IoT Malware Detection and Classification Using Opcode Category Features on Machine Learning

Robust IoT Malware Detection and Classification Using Opcode Category Features on Machine Learning

Technology advancements have led to the use of millions of IoT devices. However, IoT devices are being exploited as an entry point due to security flaws by resource constraints. IoT malware is being discovered in a variety of types. The purpose of this study is to investigate whether IoT malware can...

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Bibliographic Details
Main Authors: Hyunjong Lee, Sooin Kim, Dongheon Baek, Donghoon Kim, Doosung Hwang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
IoT malware
machine learning
opcode category
sequence mining
visualization
Online Access:https://ieeexplore.ieee.org/document/10049419/

Internet

https://ieeexplore.ieee.org/document/10049419/

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