Improved integral neural distinguisher model for lightweight cipher PRESENT

AbstractPRESENT is a lightweight block cipher, which has attracted many scholars to research its security. In 2022, Zahednejad et al. proposed the integral neural distinguisher on round-reduced PRESENT. In this paper, a new integral neural distinguisher for PRESENT is constructed. In contrast to Zahednejad’s works, the proposed integral neural distinguisher can improve the number of attack rounds in one round. This paper proposes a new data format ($$invP_{0}^{n},invP_{1}^{n},\ldots ,invP_{15}^{n},invS_{0}^{n},invS_{1}^{n},\ldots ,invS_{15}^{n}$$ i n v P 0 n , i n v P 1 n , … , i n v