IoT-Malware Detection Based on Byte Sequences of Executable Files
Tzu-Ling Wan, Tao Ban, Yen‐Ting Lee, Shin‐Ming Cheng, Ryoichi Isawa, Takeshi Takahashi, Daisuke Inoue · 2020
Attacks towards the Internet of Things (IoT) devices are on the rise. To enable precaution and countermeasure against IoT malware, we present a cross-platform analysis of IoT malware programs based on static discriminating information extracted directly from ELF binaries. With experiments on a dataset composed of more than 222K samples cross 7 different CPU architectures, we demonstrate that efficient malware detection can be realized with near optimal accuracy.