The invention relates to an information-missing-oriented super-large-scale
integrated circuit security design detection method, and belongs to the field of
hardware Trojan horse detection. The method comprises the following steps: analyzing a gate-level
netlist design file of the super-large-scale
integrated circuit with missing information, creating
directed graph representation, performing feature representation coding on
logic gate nodes, and constructing circuit
directed graph data; performing structural reasoning on the
directed graph data by using a graph variation auto-
encoder GraphVAE, complementing a circuit structure with
information loss by using a decoder, and constructing complemented circuit directed graph data; performing
logic gate type, fan-in and fan-out quantity, betweenness centrality and neighborhood
type distribution calculation on the complemented data, and combining and splicing the complemented data into circuit gate characteristics; and constructing a graph neural
network model GNN, further extracting deep-level features through graph
convolution operation, and performing reasoning training by adopting a multi-layer
perceptron to realize
hardware Trojan classification. According to the method, the
hardware Trojan of the gate-level
netlist under the condition of
information loss can be effectively detected.