An Efficient Masked White-Box Implementation of SM4

Differential computation analysis (DCA) is a powerful method for extracting secret information from carefully designed white-box schemes without reverse engineering. Consequently, white-box solutions typically require substantial storage and computing resources to withstand DCAs, as demonstrated by the schemes proposed by Zhang et al. and Yuan et al. for the ISO/IEC standard algorithm SM4. Our approach employs Boolean masking to obscure the correlation between the key and intermediate states. Additionally, we introduce nonlinear permutations to reuse random mask values, thereby reducing space consumption. Experimental results indicate that DCAs against both the simplified version and the algebraic enhancement version of our scheme fail to retrieve the correct keys. Moreover, the former version can be implemented with approximately 1.62 MB of memory and the latter with 7.8 MB, which is much less than 24.3 MB (Zhang et al.) and 34.5 MB (Yuan et al.). Consequently, our design can thwart first-order DCA with lower overhead.