Abstract
With the rapid development of electronic and information technology, IoT devices have become widely used in various fields. Increasing attention has been paid to the performance and security analysis of IoT devices. Dynamic instrumentation is a common process in software analysis for acquiring runtime information. However, due to the limited software and hardware resources in IoT devices, most dynamic instrumentation tools do not support IoT devices. In this paper, we provide an analysis tool, IoTDIT, to solve the current problem of runtime detection in IoT devices. IoTDIT uses static analysis and ptrace system calls to obtain dynamic firmware information, which can aid in firmware performance analysis and security detection. We perform experiments to verify the performance and effectiveness of the proposed instrumentation tool.
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