Abstract:

The theoretical research of the real complex network provides a new method for the analysis and optimization of the integrated circuit. This paper extracts the circuit network information from FPGA IP core and analyzes complex network characteristics of the FPGA IP core circuit network, including clustering coefficient, average distance, degree-degree correlation, cumulative degree distribution, and so on. Experimental results show that the FPGA IP core circuit network obeys small world feature of complex network with Broad-scale distribution, which provides theoretical support for the study of the FPGA IP security. The experiment also gives the value range of network cumulative degree distribution and Pearson correlation coefficient, which provides theoretical basis for optimizing the FPGA IP core circuit network to improve the robustness of the circuit network.

Key words: complex network, IP core, adjacency matrix, average distance, small world network