A good news. “SHELLCORE: Automating Malicious IoT Software Detection by Using Shell Commands Representation” is accepted for publication in IEEE IoT Journal. This is the joint work with Hisham Alasmary, Afsah Anwar, Ahmed Abusnaina, Abdulrahman Alabduljabbar, Mohammed Abuhamad, An Wang, DaeHun Nyang, Amro Awad, and David Mohaisen.
This paper investigates shell commands abused by adversaries in IoT devices, and proposes a machine learning-based detection system. A large amount of dataset of shell commands were collected including malicious commands extracted from 2,891 IoT malware samples.
Congratulations!