A Deep Learning-Based FPGA Function Block Detection Method With Bitstream to Image Transformation
In the context of various application scenarios and/or for the sake of strengthening field-programmable gate array (FPGA) security, the system functions of an FPGA design need to be analyzed, which can be achieved by systematically partitioning the FPGA’s bitstream into manageable functional blocks and detecting their functionalities thereaf