CMD: Co-analyzed IoT malware detection and forensics via network and hardware domains

• Main Authors: ZHAO, Ziming, LI, Zhaoxuan, YU, Jiongchi, ZHANG, Fan, XIE, Xiaofei, XU, Haitao, CHEN, Binbin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Forensic analysis; IoT malware detection; multi-stage lifecycle; SPI bus; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/8740; https://ink.library.smu.edu.sg/context/sis_research/article/9743/viewcontent/CMD_av.pdf
• Institution: Singapore Management University

With the widespread use of Internet of Things (IoT) devices, malware detection has become a hot spot for both academic and industrial communities. Existing approaches can be roughly categorized into network-side and host-side. However, existing network-side methods are difficult to capture contextua...