An identification method, characterized by comprising: obtaining attribute features of a user; inputting the attribute features of the user into a trained identification security model, and obtaining, according to output results, first identification products corresponding to the attribute features of the user and first identification success rates of the first identification products; generating first identification product combinations, wherein an identification product combination is generated using a pair of different first identification products, computing second identification success rates of the first identification product combinations according to the first identification success rates of the first identification products, wherein the second identification success rates of the first identification product combinations are computed using the following formula: P A + B = 1 − 1 − P A ∗ 1 − P B where P(A+B) is the second identification success rate of a first identification product combination; and P and P are respectively the first identification success rates of first identification products A and B, and regarding as second identification product combinations, first identification product combinations having a second identification success rate greater than a first threshold to obtain second identification products in the second identification product combinations; inputting the second identification products and the attribute features of the user into a trained identification applicability model to obtain third identification success rates of the second identification products; performing computation according to the third identification success rates of the second identification products to obtain fourth identification success rates of the second identification product combinations, wherein the fourth identification success rates of the second identification product combinations are computed using the following formula: P C + D = 1 − 1 − P C ∗ 1 − P D where P(C+D) is the fourth identification success rate of a second identification product combination; and P and P are respectively the third identification success rates of second identification products; and outputting second identification product combinations having a fourth identification success rate greater than a second threshold. obtaining attribute features of a user; inputting the attribute features of the user into a trained identification security model, and obtaining, according to output results, first identification products corresponding to the attribute features of the user and first identification success rates of the first identification products; generating first identification product combinations, wherein an identification product combination is generated using a pair of different first identification products, computing second identification success rates of the first identification product combinations according to the first identification success rates of the first identification products, wherein the second identification success rates of the first identification product combinations are computed using the following formula: P A + B = 1 − 1 − P A ∗ 1 − P B where P(A+B) is the second identification success rate of a first identification product combination; and P and P are respectively the first identification success rates of first identification products A and B, and regarding as second identification product combinations, first identification product combinations having a second identification success rate greater than a first threshold to obtain second identification products in the second identification product combinations; inputting the second identification products and the attribute features of the user into a trained identification applicability model to obtain third identification success rates of the second identification products; performing computation according to the third identification success rates of the second identification products to obtain fourth identification success rates of the second identification product combinations, wherein the fourth identification success rates of the second identification product combinations are computed using the following formula: P C + D = 1 − 1 − P C ∗ 1 − P D where P(C+D) is the fourth identification success rate of a second identification product combination; and P and P are respectively the third identification success rates of second identification products; and outputting second identification product combinations having a fourth identification success rate greater than a second threshold.