Low-power AES S-box design using dual-basis tower field extension method for cyber security applications

Abstract

Abstract In cryptography, one among several investigated areas is the implementation of AES S-boxes. In this paper, a substitution-box is designed which follows combined data path using dual-basis tower field extension with Golod–Shafarevich theorem fed in immune genetic algorithm for optimization purpose for each and every block. The role of enhanced immune genetic algorithm is as follows: at first, chaotic system generates S-boxes population, these S-boxes which perform excellently are then optimized by a sequence of operators such as extraction of anti-agent and immune selection. Few criteria of S-boxes such as differential uniformity, nonlinear degree, and strict avalanche effect are analyzed. The obtained results are analyzed with CMOS 35 nm and 15 nm technologies to measure the performance of the proposed designs and was observed that the proposed one outperforms in power and area. The optimized S-box can be effectively applied for securing information. The proposed Golod–Shafarevich feeder Immune Genetic Algorithm S-box (GSIGA-Sbox) is compared with two baseline methods such as Reversed Genetic Algorithm S-box (RGA-Sbox) and Discrete Space Chaotic S-box (DSC-Sbox). As a result the proposed GSIGA-Sbox achieves encryption speed of 61 MHZ, decryption speed of 55 MHZ with 24% of power consumption for 35 nm CMOS technology and 57 MHZ encryption speed, 51 MHZ decryption speed with 28% of power consumption for 15 nm CMOS technology.

Keywords

• S-box
• Optimization
• Encryption
• Decryption
• Cryptography
• Galois field