Efficient Detection and Classification of Internet-of-Things Malware Based on Byte Sequences from Executable Files

Efficient Detection and Classification of Internet-of-Things Malware Based on Byte Sequences from Executable Files

Simple implementation and autonomous operation features make the Internet-of-Things (IoT) vulnerable to malware attacks. Static analysis of IoT malware executable files is a feasible approach to understanding the behavior of IoT malware for mitigation and prevention. However, current analytic approa...

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Bibliographic Details
Main Authors: Tzu-Ling Wan, Tao Ban, Shin-Ming Cheng, Yen-Ting Lee, Bo Sun, Ryoichi Isawa, Takeshi Takahashi, Daisuke Inoue
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Open Journal of the Computer Society
Subjects:
Computer security
machine learning
binary code
malware analysis
static analysis
Online Access:https://ieeexplore.ieee.org/document/9240051/

Internet

https://ieeexplore.ieee.org/document/9240051/

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