An intelligent selection of lightweight multivalued cryptographic boolean function based on Multi-criteria decision making

An intelligent selection of lightweight multivalued cryptographic boolean function based on Multi-criteria decision making

연구 분야: Verification

학회: Multimedia Tools and Applications

Confusion component is an integral part of any modern information confidentiality technique. The selection of nonlinear confusion component requires an intelligent mechanism. In this article, we used an intelligent multi-criteria decision making (MCDM) mechanism for the selection of an optimum nonlinear confusion component namely substitution box (S-box) using combined compromise solution (CoCoSo) technique. We have thoroughly investigated substitution permutation network (SP-network) based lightweight S-boxes against standard benchmarks cryptographic properties. The fundamental cryptographic aspects includes nonlinearity, strict avalanche criterion (SAC), bit independent criterion (BIC), linear approximation probability (LAP) and differential approximation probability (DAP) for SP-network based 4-bit S-boxes. With this intelligent MCDM based mechanism, we have suggested an efficient mechanism for best nonlinear confusion component for SP-network based S-box.